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Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated AI/ML Engineer – Senior Level , you will engage in all phases of the data management and machine learning lifecycles to include requirement analysis, collection, processing, statistical analysis of data, monitoring of model performance, and adhere to related risk requirements. You will develop and maintain technical systems that use machine learning models to make predictions used for classification and/or decision making. What You Will Do Consults with data scientists and business partners on approaches involving ML model development and implementation. Provides technical feedback on ML solutions within technical lead community. Leads the full life cycle of machine learning engineering to include analysis, solution design, data pipeline engineering, testing, deployment, scheduling, application integration, production support, API development, and application integration in support of GenAI applications, ML frameworks/libraires, and ML models. Configure, manage, and set up AI/ML infrastructure components in cloud/on-prem environments for projects and the AI/ML community stakeholders. This includes AWS, GCP, graph databases. Works with architects to influence and define ML model implementation patterns in complex environments. Understand complex model implementation requirements and how to recognize and apply appropriate design patterns throughout solution design and implementation. Designs and implements complex technical solutions for machine learning, artificial intelligence, GenAI, Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Assists in setting technical direction for the team and serves as a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What You Have Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of machine learning engineering, data engineering, or software development experience implementing data solutions to include 2 years demonstrated technical leadership experience and/or leading teams. Extensive programming experience using Python, Java, or R. Extensive data engineering experience. Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Experience completing multiple projects leveraging the agile methodology in implementing ML models. Experience leveraging ML Ops principles and implementing automated workflows. Demonstrated ability to mentor junior members of the technical team in area of expertise. Knowledge of Data Science principles and methodologies. Knowledge of stochastic modeling, machine learning, and other advanced mathematical techniques. Effective communication skills, with the ability to present complex technical concepts to both technical and non-technical audiences. Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker. Compensation range: The salary range for this position is: $143,320 - $273,930 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and support cutting edge technological solutions that streamline the auto financing process for dealers. Our team focuses on creating integrated, secure, and user friendly platforms that enhance dealer operations and customer experiences, ensuring compliance with the latest financial regulations. This pivotal role supports business growth and fosters strong dealer relationships, making every transaction smoother and more efficient. Dealer Tech within Financial Services Technology at Capital One is specifically designed to address the technological needs of auto dealers who partner with Capital One. This division focuses on developing and maintaining systems that facilitate the smooth operation of auto financing, from loan origination to funding. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 Plano, TX: $179,400 - $204,700 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of experience programming with Python, Java, Golang, or C++ At least 2 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 3 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 1 year of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 1+ years of experience optimizing ML algorithms, configurations, and infrastructure 1+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 1+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 1+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) Authored/co-authored a paper on a ML technique, model, or proof of concept 1+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Machine Learning Engineer 3 New York, NY: $176,500 - $201,400 for Machine Learning Engineer 3 Plano, TX: $147,100 - $167,900 for Machine Learning Engineer 3 Richmond, VA: $147,100 - $167,900 for Machine Learning Engineer 3 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About FullStack FullStack is your AI-native engineering partner, built to turn AI capability into certainty. Most companies can demo AI; few can get it to production and prove what it produced. We close that gap with three capabilities, AI built into your products from the start, elite vetted talent who apply it, and transparent execution that shows value every step of the way. With now over 600 customers in North America, FullStack is one integrated partner for all your AI engineering needs. With FullStack, you move forward with confidence. We're Most Proud Of Offering life-changing career opportunities to talented software professionals across the Americas. Building highly-skilled software development teams for hundreds of the world's greatest companies. Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users. Our 4.1-star rating on GlassDoor. Our client Net Promoter Score of 68, twice the industry average. The Position We're Looking To Hire a Senior Machine Learning Engineer (Traditional ML & Financial Data) To Join Our Team. You'll Work With Our Incredible Clients In One Of Two Ways Team Augmentation: You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis. Design & Build: You will work on a FullStack product team to build and deliver a product to our clients. What We're Looking For 5+ years of professional experience in software development, Data Science, or Machine Learning Engineering. Advanced English is required. Successful completion of a four-year college degree is required. Strong expertise in traditional machine learning algorithms and statistical modeling, with a focus on non-LLM and non-Generative AI approaches. Hands-on experience designing, developing, training, and optimizing machine learning models for production use. Strong proficiency in data exploration, preprocessing, feature engineering, and model training using complex datasets. Demonstrated experience developing and optimizing anomaly detection algorithms to identify irregularities, patterns, and outliers in data. Strong Python skills and experience with relevant machine learning and data science libraries. Experience analyzing financial, payroll, or other structured business datasets is highly preferred. Proactive, ownership-driven mindset with strong analytical and problem-solving skills, capable of translating complex data into reliable machine learning solutions. Ability to work through new and difficult issues and contribute to libraries as needed. Ability to create and maintain continuous integration and delivery of applications. Forensic attention to detail. A positive mindset and a can-do attitude. Experience working on Agile/Scrum teams. Meaningful experience working on large, complex systems. Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon. Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them. Nice To Have We're Seeking Engineers Who Are AI-enthusiastic In Their Workflow. Professional Experience Or Personal Project Work With The Following Is a Significant Plus Cursor, Windsurf, or Google Antigravity. Claude Code, Gemini CLI, Codex, or Copilot CLI. Work Authorization Requirements Applicants must be currently authorized to work in the United States on a full-time basis. FullStack will not sponsor applicants for work visas now or in the future. What We Offer Competitive Salary. Paid Time Off (vacation, sick leave, parental leave, and holidays). 100% remote work. The ability to work with leading startups and Fortune 500 companies. Health, dental, and vision insurance. 401(k) w/ 4% match. Ample opportunity for career advancement. Continuing education opportunities. FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Learn more about our Applicants Privacy Notice.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About The Role Are you passionate about using data and AI to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. Join us and be part of a team that values data-driven innovation and excellence. What You Will Do The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners. Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap. Build data pipelines with rigorous approaches to data quality, validation, testing, and observability. Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows. Optimize processes for operational excellence in project management and system reliability. Ensure security standards are met within data systems and workflows. Ensure and promote data quality standards for accurate and reliable insights. Embrace emerging technologies with enthusiasm. Minimum Qualifications 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases. Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders. Production-level development experience in Python. Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance. Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms. Experience with Airflow, Docker, DBT or similar analytics workflow tools. BA/BS degree in Computer Science, Math, Physics, or a related technical field. Salary Range California: the pay range for this role is $196,000 to $269,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you'll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)

Location Key Tower - 127 Public Square Business We believe home is more than a place to live. It's where life happens; connections are made, and communities grow. That's why we're committed to creating welcoming places where our residents feel at home, and our people have the opportunity to make a meaningful impact. If you're ready to be a part of our team, we encourage you to apply. Job Description Position Summary The Senior Analyst will support the analytics function for the U.S. Housing platform, with a primary focus on Multi-Family. This role will work closely with business partners, Product, Technology, and Engineering to deliver analyses, reporting, and insights that drive measurable business impact. This individual will develop SQL queries and data models to answer business questions, and build and maintain reports and dashboards, primarily in Power BI, that make data easier to understand and use in decision-making. While the role primarily supports Multi-Family, this individual will also have opportunities to work on broader U.S. Housing initiatives, helping connect data, tools, and ways of working across both businesses. They will also help explore and adopt AI-assisted approaches to delivering information to the business, making insights faster to produce and easier to consume. This is a hands-on, individual-contributor role. The ideal candidate is comfortable rolling up their sleeves to work directly with data and analytical problems, is eager to learn, and can manage multiple priorities. The role requires strong analytical skills, attention to detail, growing business judgment, and solid communication and relationship-building skills. Essential Job Functions Data Extraction, Integration & Quality Assurance. Write, test, and optimize SQL queries to extract, transform, and analyze data from Redshift, Yardi, and other source systems. Validate and reconcile data across platforms, and support data quality through QA practices—testing and validating data and reports for accuracy across Single-Family and Multi-Family portfolios. (25%) Dashboard & Reporting Development Build, maintain, and enhance Power BI dashboards and reports, applying consistent standards for visualization and KPIs. Promote self-service analytics by building intuitive dashboards and maintaining clear documentation of data sources, report logic, and definitions. (25%) Business Partnership & Analytical Consulting Partner with business stakeholders to translate business questions into analytical solutions. Perform ad hoc analyses and clearly communicate findings, insights, and recommendations to stakeholders, using SQL, Power BI, and Python/Redshift as needed to solve analytical problems. (25%) Cross-Functional Collaboration & Innovation Partner with Product, Technology, and Engineering to deliver scalable, reliable data and reporting solutions. Explore and help adopt AI-assisted tools and workflows to deliver information to the business more quickly and effectively, driving continuous improvement of the analytics function. (25%) Education This position requires a(n) Undergraduate (Bachelor) Degree in Data Science, Statistics, Economics, Finance, Computer Science, Engineering, or a related field (or equivalent experience). Work Experience 3-4 Years of Required Experience in: Strong experience building, maintaining and enhancing dashboards in Power BI including data modeling and DAX. Strong SQL skills, including writing and optimizing queries; experience with Amazon Redshift or a similar cloud data platform is a plus. MS Office products to include Power BI visualizations and excel modeling. Familiarity with Git, Agile development methodologies, and collaborative software development practices. Knowledge of or experience in the Multi-Family real estate industry; exposure to Single-Family, asset management, or financial services is a plus. Note: 5-7 Years of experience can offset minimum educational requirements for this position Compensation Commensurate with Experience $87,900 - 122,955 annually Great Incentives! About We care about the well-being and work-life balance of our valued associates! To show how much we care, we offer awesome incentives that include: Full benefits package Generous paid time off 401(k) with company match Growth and advancement opportunities Lucrative referral bonus program The Cleveland corporate office follows a hybrid work model that requires employees to be in the corporate office at least four days per week to foster collaboration, innovation, and team celebration. Equal Opportunity Employer: Minorities/Religion/Sex/Protected Veterans/Disability/Sexual Orientation/Gender Identity/Marital Status/Pregnancy/Age/National Origin/Genetic Information. Drug free workplace We are proud to create a diverse environment and are proud to be an equal opportunity employer. We are grateful for your interest in this position, however, only candidates selected for pre-screening will be contacted.

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work: The Senior Data Analyst will analyze large and complex datasets, develop data visualizations, build dashboards, and produce clear analytical reports to support data‑driven decision‑making for a federal client. The role requires strong data manipulation, SQL querying, and experience with modern visualization tools. Key Responsibilities: Analyze complex datasets to identify trends, patterns, and insights. Develop dashboards and visualizations using Databricks, Tableau, Power BI, and MS Excel. Prepare detailed analytical reports and recommendations for stakeholders. Conduct data cleaning, manipulation, and transformation of large datasets. Query databases using SQL for data extraction and analysis. Apply predictive analytics or machine‑learning techniques when appropriate. Participate in agile delivery processes, including user story documentation and testing. Here is what you need: US Citizen (Public Trust eligibility) Proficiency in Databricks, Tableau, Power BI, and MS Excel for data visualization. Strong SQL skills for database querying. Experience with data cleaning, manipulation, and transformation. Ability to analyze large datasets and communicate insights clearly. Experience producing dashboards and data‑driven reports. Familiarity with agile methodologies and software development lifecycle practices. Preferred experience: Experience with statistical analysis tools (R, SPSS). Exposure to predictive analytics or machine‑learning frameworks. Experience with correlation analysis and advanced data‑quality techniques. Additional Databricks experience (pipelines, transformations) As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200—$196,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Job Number: R0251772 Software Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful. If you're ready to deepen your expertise in Databricks, Maven Smart System ( MSS ) , and Foundry, contribute to modernizing data ecosystems across the DoD, and work on meaningful national security-related missions, there's a place for you at Booz Allen. This position is located in Honolulu, HI. Work with us to use data for good. Join us. The world can't wait. You Have: 2+ years of experience building data pipelines in Databricks, including PySpark, Delta Live Tables, or Unity Catalog Experience integrating and transforming data within Palantir Foundry or Maven Smart System (MSS) environments Experience designing and maintaining ETL and ELT pipelines across distributed compute platforms Experience analyzing and managing data, including data visualization, data management, data governance, data strategy, and data engineering Experience creating solutions within a collaborative, cross-functional team environment Secret clearance Bachelor's degree Nice If You Have: Experience with the Department of War (DoW) Experience migrating legacy ETL logic into modern cloud platforms, including Databricks, Foundry, or Fabric Experience building business analytic visualizations Experience working on Agile teams Experience with process improvement approaches and methodologies Ability to synthesize results and deliver presentations to product owners or stakeholders Ability to learn quickly and adapt to changing organizational processes Top Secret clearance Databricks or Foundry Use Case Engineer Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Job Number: R0251622 Databricks Data Engineer, Lead The Opportunity: As a lead Databricks Data Engineer, you will be hands-on designing, building, and maintaining robust data pipelines within Databricks and contributing independently while also providing technical leadership and mentorship within the team. Your key responsibilities will include creating and optimizing end-to-end data flows, handling extract, transform, load (ETL) processes, designing data models, ensuring data security and compliance, collaborating with cross-functional teams, and continuously improving performance and scalability. Your experience in both Databricks and AWS environments and services will position you as a technical team leader. Your expertise will bridge the gap between raw data and actionable insights, enabling efficient data processing and analytics across the business. Here, you'll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: 8+ years of experience designing, developing, deploying, and managing ETL processes and data pipelines utilizing comprehensive logging and robust error handling mechanisms to troubleshoot and resolve issues 3+ years of experience building, debugging, and optimizing data pipelines using Databricks notebooks, clusters, and job orchestration tools using Databricks tools such as Delta Lake, Databricks Delta, and Unity Catalog 3+ years of experience writing Python and PySpark code for ETL scripts and custom transformations Experience in data modeling, including when to use dimensional vs relation data models within a medallion architecture, including Bronze, Silver, or Gold Experience using various AWS services, including AWS Glue, Amazon S3, Amazon RDS Knowledge of performance optimization techniques for ETL jobs such as partitioning, bucketing, caching, and troubleshooting to improve query performance Ability to design and implement data models from initially defining schemas to optimizing data structures that support efficient queries and analytics Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree in Computer Science, Computer Engineering, Engineering, Mathematics, Physics, Information Systems, or Information Technology Nice If You Have: Experience with AWS cloud-native data services such as AWS Lambda or CloudWatch that support serverless architectures for data processing Experience with tools such as AWS Glue Data Catalog or Collibra for managing metadata, data lineage, and cataloging data assets Knowledge of data governance practices, data lineage, and compliance requirements, including GDPR or CCPA, in support of data quality, privacy, and security Ability to explain complex technical concepts to a non-technical audience, including describing tradeoffs in architectural design Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided . Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Us Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive's next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we're addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world. The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we'll map a new way forward. Working together, we'll create a future that's more connected, more intelligent, more sustainable for everyone. Role Summary We are seeking an experienced Senior Staff DevOps Engineer to lead the design, build, and operation of the infrastructure that underpins the build pipelines that allow our companies to produce and deliver vehicle firmware and embedded software. You will play a key role in setting the direction of our technical foundation and our approach to DevOps as a culture. You will partner with our architect and team members to turn architectural vision into reality, including maturing our Infrastructure as Code practices and modernizing legacy systems and processes. This position demands a deep understanding of cloud-native ecosystems, critical thinking, a strong point of view on managing infrastructure as code, and a practical, collaborative, customer-service mindset to help enable our large developer organization. Responsibilities Lead the design and implementation of infrastructure components from a developer platform mindset, including centralized developer portals and tooling to reduce developer cognitive overhead. Architect our build and release infrastructure for redundancy and scale, including software artifact storage, source control, parallel build execution, and maintenance with vendors. Drive our migration to Bazel, including remote execution, to improve build speed and reliability. Own our AWS footprint, driving improvements in multi-region availability, disaster recovery, and cost efficiency. Define and enforce Infrastructure as Code (IaC) patterns and standards using Terraform and Atlantis, with code as the source of truth for cloud configuration. Maintain the library of modules used across the engineering organization. Identify and remediate legacy infrastructure and process gaps, bringing existing resources under consistent IaC management. Build and support mobile CI infrastructure for iOS and Android apps, including environments that start clean and quickly on fresh machines (e.g., Veertu Anka). Support and improve GitLab and CI pipelines through automation, monitoring, controls, and version standards. Develop and optimize custom Kubernetes operators and controllers to automate stateful services, ensuring high availability and performance. Design and build robust, automated security controls and policy-as-code to ensure platform compliance. Identify friction points across the organizations that operate on top of our infrastructure and collaboratively build intuitive tools that improve the developer experience. Mentor senior, mid-level, and junior engineers through code reviews, design reviews, pair programming, and technical leadership. Work closely with engineering teams in an agile (Scrum) environment to gather requirements, identify dependencies, and provide technical input on risk mitigation. Qualifications Minimum Qualifications: 10+ years of relevant experience in Platform Engineering, DevOps, or SRE roles. Expert proficiency with Infrastructure as Code, preferably Terraform, including designing reusable modules and managing state at scale. Deep understanding of Kubernetes internals, networking, storage, and service mesh architectures. Proven track record implementing GitOps workflows using ArgoCD or Flux in production environments. Strong understanding of automation and scripting (e.g., Python, Bash, GoLang). Strong experience with one of the major Cloud Service Providers (AWS, Azure, or GCP), including IAM, compute, networking, and storage layers. Experience designing, maintaining, and optimizing CI/CD pipelines and build systems at scale. Experience with GitLab, Bazel, or mobile (iOS/Android) builds is a plus. Proven ability to establish and enforce engineering standards across an organization. Ability to clearly communicate technical concepts to peers, leadership, and stakeholders. Experience leading architectural discussions and decisions in a collaborative environment. Track record of mentoring engineers and sharing technical knowledge. Total Rewards We build the exceptional — and we believe the people doing that work should be rewarded accordingly. In addition to a competitive base salary, full-time positions may be is eligible to participate in our annual company performance bonus program. Payments are discretionary and not guaranteed; actual amounts depend on company results and the terms of the plan in effect, and require active employment at the time of payout. This role is also eligible for equity in the form of Restricted Stock Units (RSUs), subject to board approval and the terms of our equity incentive plans, including applicable vesting requirements. In addition to our compensation programs, we invest in our people with a comprehensive benefits package designed to support the health, wellbeing, and financial future for full-time employees — including health coverage, retirement savings, time off, and family planning programs. Offerings vary by country. Learn more about our global benefit programs . External candidates can apply for this role through the Rivian and Volkswagen Group Technologies careers site ( https://rivianvw.tech/#careers ). If you are a current employee, please apply through our internal job board . Equal Opportunity Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian and Volkswagen Group Technologies" may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian and Volkswagen Group Technologies may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment. Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information. -- Please note this job posting represents an open, active vacancy. Additionally, we are not currently accepting applications from third party application services. Compensation Range: $186,000 - $255,750

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Space Systems Sector is looking for an experienced Principal Or Sr. Principal DevOps Engineer to augment our team. This position can be based in Aurora, CO, Morrisville, NC or Sacramento, CA. Primary Responsibilities Responsible for planning and evolving processes and infrastructure to execute programs supporting rapid capability maturation and deployment. Integrates development pipelines leveraging automation with test-driven development tools and continuous integration/test frameworks. Define and implement the build, deployment, provisioning, and monitoring standards for the program. Ensures implementation of Software Configuration Management (SCM), code quality, and code coverage with automated testing for Continuous Integration/Continuous Delivery (CI/CD) pipelines. Work as part of an Agile development team to deliver end-end automation of deployment, monitoring, and infrastructure management framework. Build and configure delivery environments supporting CD/CI tools using an Agile delivery methodology. Create scripts and/or templates to automate infrastructure provisioning and management tasks. Work closely with development teams to create an automated continuous integration (CI) and continuous delivery (CD) system. Work together with vendors and other IT personnel for problem resolution Monitor and support all installed systems and infrastructure. Develop custom scripts to increase system efficiency and lower the human intervention time on any tasks. Contribute to the design of information and operational support systems. Install, configure, test and maintain operating systems, application software and system management tools. Oversee the company's security, backup, and redundancy strategies. Evaluate application performance, identify potential bottlenecks, develop solutions, and implement them with the help of developers. This position can be staffed at a Principal Or Sr. Principal level, based on the basic qualifications below. Basic Qualifications Must have an active U.S. Government Top Secret security clearance at time of application, current and within scope, with the ability to obtain and maintain SCI approval/access. Must have an active U.S. Government CI Polygraph at time of application, current and within scope. United States Citizenship Principal: Bachelor's degree with 5 + years of relevant experience; 3 years with a Master's; 0 years with a PhD; or 9 additional years of experience in lieu of a degree. Sr. Principal: Bachelor's degree with 8 + years of relevant experience; 6 years with a Master's; 4 years with a PhD; or 12 additional years of experience in lieu of a degree Must have all of the following: AWS, Kubernetes, Terraform Security+, not needed to start, but must be able to obtain within 6 months Administration experience with Linux or related operating systems. Experience in an Agile software development framework Experience with at least 3 of the preferred qualifications Preferred Qualifications Current Security+ Terraform Kubernetes administration AWS administration Flux Helm DynamoDB NATS configuration Big Bang (Grafana, Prometheus, Loki) Jenkins/GitLab/Bamboo #COSpace #SpaceSoftwareJobs #SPEnhancedERAP Primary Level Salary Range: $114,000.00 - $163,200.00 Secondary Level Salary Range: $135,800.00 - $203,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Job Description Position Summary Base-2 Solutions is seeking a DevOps Software Engineer to design, develop, and deploy a state-of-the-art technology stack supporting the DOMEX Data Discovery Platform (D3P) Modernization program. The role supports the mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise (DIE). The engineer will work as part of a mission-focused, solutions-oriented, and adaptive team that values inclusion, innovation, collaboration, and professional development. Most work is conducted on-site in Bethesda, MD, with a flexible schedule and occasional remote tasks. Essential Duties and Responsibilities Deploy, triage, and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. Enhance and maintain CI/CD and DevOps scripts and processes including AI-integrated solutions for failure analysis, security, and compliance to facilitate faster development, quicker error detection, and resilient deployments. Design, develop, and support scalable, redundant infrastructure including physical and virtualized environments. Configure Kubernetes continuous deployments using Helm, YAML, and ArgoCD. Collaborate with System Engineers to design solutions for new features and requirements. Provide technical input to systems engineering documentation and diagrams/models in coordination with systems engineering and architect teams. Participate in Agile release planning, scrum of scrums, bug triage, design sessions, and other meetings. Develop PaaS solutions for hybrid deployments and secure multi-tenant GPU sharing in Kubernetes environments. Required Qualifications Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 8+ years in software development, system engineering, or related field; 6+ years of experience with a Master's degree. Possess at least one DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate). Ability to obtain Privileged User Account (PUA) certification per DoD 8570 policy. Experience with container/container orchestration, specifically Kubernetes, including troubleshooting ingress/gateway API, multi-tenant GPU sharing, Helm chart design/build, pod disruption budgets, and affinity/anti-affinity rules. Familiarity with external-secrets, ArgoCD, cert-manager, and elastic search (eck). GitLab pipeline development experience including integration of GitLab CI/CD components, code quality reports, and code coverage/test reports. Knowledgeable in navigating Linux OS, specifically sysctls for Kubernetes environments, FApolicyd, and SELinux experience. Comfortable with Elastic Search, Logstash, and Kibana. Demonstrated ability to participate in cross-functional planning, coordination, and task execution. Preferred Qualifications Experience with systems at scale. Experience or knowledge of key Agile processes and techniques. Experience with development languages and tools such as Bash, PowerShell, SALT, Python, Groovy, Java. Experience on a production or enterprise system. Experience with Kafka or other message passing systems (AMQP, JMS). Experience with Kubernetes monitoring tools such as Prometheus, Grafana, Open Telemetry. Experience with SALT for deployment automation. Experience with Nexus. Required Education and Experience Equivalency Bachelor's degree in Engineering, Computer Science, Systems Engineering, or related field with 8+ years in software development, system engineering, or related field. Master's degree with 6+ years in software development, system engineering, or related field. Required Certifications DoD 8570.01-M IAT Level II or higher certification, e.g., CCNA Security, CySA+, Security+ CE, SSCP, CISSP (or Associate). Privileged User Account (PUA) certification per DoD 8570 policy (ability to obtain). Required Security Clearance Active Top Secret/SCI Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: Pay & Benefit Highlights Compensation Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). Employee referral bonuses up to $10,000 per hired referral. Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health 100% company-paid medical premiums for employees and eligible dependents. Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. 100% company-paid dental premiums for employees and eligible dependents. 100% company-paid vision premiums for employees and eligible dependents. Income Protection 100% company-paid premiums for short-term disability. 100% company-paid premiums for long-term disability. 100% company-paid premiums for accidental death & dismemberment (AD&D). 100% company-paid premiums for life insurance up to $200,000. Retirement 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). 401(k) pre-tax and Roth options. Leave Up to 20 days of flexible paid time off (PTO). 11 paid floating holidays. Work-Life Balance Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT