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About Tiger Analytics Shape the Future of AI. Transform the World's Leading Businesses. Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact. We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India. At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it. What You Will Be Doing We are looking for a Senior Azure Data Engineer with strong expertise in Microsoft Azure data services, Python, Scala, and Apache Spark. The ideal candidate will design, develop, and maintain scalable data pipelines and ETL/ELT solutions to support enterprise data platforms. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure data services, Python, Scala, and Apache Spark Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources Build and manage data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Develop and optimize Spark applications to improve data processing performance, scalability, and reliability Work with Hadoop and related big data technologies where applicable Monitor pipeline execution, troubleshoot failures, and resolve data processing issues to ensure reliable data delivery Implement data validation, error handling, and data quality checks to ensure accuracy and consistency Collaborate with data architects, analysts, and cross-functional teams to understand requirements and deliver reliable data solutions Follow coding standards, testing practices, version control, and CI/CD procedures Support production deployments, incident resolution, performance tuning, and ongoing maintenance of data engineering solutions Requirements What we need Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related field 10+ years of overall Data Engineering experience Strong hands-on experience with Microsoft Azure data services, particularly Azure Data Factory, Azure Databricks, and Azure Data Lake Storage Proficiency in Python and Scala for data processing and application development Strong experience with Apache Spark and distributed data processing Hands-on experience with Hadoop and big data technologies Strong understanding of ETL/ELT processes, data transformations, and data pipeline architecture Strong SQL skills and experience with performance tuning, debugging, troubleshooting, and production support Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management Familiarity with version control, CI/CD, and deployment practices Excellent analytical, problem-solving, and collaboration skills Benefits Why Join Tiger Analytics: Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is seeking a Data Engineer to join our Data team, comprising both Data Scientists, Data Analysts, and Data Engineers. Our team is at the forefront of enhancing data analysis efficiency and effectiveness. Our data engineers develop and maintain data pipelines integral to our analytics data model. As a Data Engineer, your primary responsibility will be designing and maintaining data pipelines, primarily utilizing SparkSQL and Pyspark, within our central data lake. These pipelines are crucial for ingesting and transforming source data from our IOT devices and software products into our core data model, facilitating statistical analysis, model training, and dashboard creation. This is a remote position open to candidates residing in the US. Relocation assistance will not be provided for this role. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win – together. In this role, you will: Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured data like video and audio, Samsara sensor & product data, and customer metadata. Access, manipulate, and integrate external datasets with internal data. Deliver high-quality data with strong uptime and reliability requirements, including customer-facing data sets. Collaborate closely with cross-functional teams such as Data Science & Analytics, AI/ML, and other Data Engineers to ensure high-quality data for diverse purposes from causal inference, model training, and dashboarding. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: BA / MS degree in Computer Science, Statistics, or a related discipline. 4+ years experience in a data engineering-focused role. Demonstrated experience in designing data models at scale. Proficiency in building ETL pipelines to handle large volumes of data. Experience with Spark-based data platforms. Strong command of at least one data orchestration tool (e.g Airflow, Dagster, or Prefect). Expertise in SQL, Python, and working with REST APIs. Familiarity with software engineering fundamentals and reading backend development code. Experience with version control systems such as Git/GitHub. An ideal candidate also has: Familiarity with time series data and late-arriving data. Knowledge of Databricks, Delta Lakes, and Dagster. Previous experience working in a public cloud (e.g AWS, GCP, Azure). Exposure working on a data model for a product's first-party data. Exposure to complex data, including ML outputs and/or client-side signals. The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below. Annual Base Salary: $99,365 USD - $167,000 USD Total Rewards At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time. Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you're ready to build for the long term and own the outcome, your journey starts here. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Belonging at Samsara At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process. Our Commitment to Authenticity We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara's Candidate Privacy Notice for more information. Fraudulent Employment Offers Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We're seeking a Sr. Data Engineer to design and implement data pipelines powering analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will also have a key role in modeling the Core Data Domain to best support various access patterns and use-cases. Key Responsibilities Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads Understanding of data warehousing concepts, dimensional modeling, and building data marts. Required Qualifications 5+ years of applicable work experience Strong proficiency in SQL and experience in developing complex queries Experience in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Knowledge of data governance best practices in a cloud environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred Qualifications Experience with machine learning flows on GCP Experience working with healthcare data (Tuva or OMOP Models a plus) Education Bachelor's degree preferred/specialized training/relevant professional qualification. Anticipated Weekly Hours 40 Time Type Full time Pay Range The Typical Pay Range For This Role Is $83,430.00 - $222,480.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great Benefits For Great People We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments. We anticipate the application window for this opening will close on: 11/06/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Description AWS Global Network Delivery Services keeps the cloud running. We own the delivery and operation of all AWS global infrastructure — every data center, every server, every cable that gives hundreds of millions of customers uninterrupted access to the services they depend on. We tackle some of the hardest supply chain and infrastructure problems on the planet, with thousands of variables in play, and we're looking for exceptional people to help solve them. You'll join a diverse, cross-functional team — Product, BI, network engineers, planners, builders, and operations leaders worldwide — collaborating across AWS to deliver the highest standards of safety and security while providing seemingly infinite capacity at the lowest possible cost. You'll work in an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We're seeking a talented Data Engineer who thrives with a startup mentality — someone who moves fast, thinks big, and partners directly with business and senior leaders to turn ambiguous problems into clear, data-backed recommendations. What makes this role exciting? You won't just move data from point A to point B — you'll build context through your pipelines. You'll own the context-driven source-of-truth tables that track the infrastructure delivery process across its full lifecycle — from intake through deployment to decommission — fueling analytics, LLMs, and business decisions. You'll manage the infrastructure behind those pipelines, keeping it lightweight, auditable, and highly available. And you'll partner closely with Data Engineering, Product, and Software teams to design pipelines that let business teams answer their own questions — without waiting in a queue. The ideal candidate is passionate about understanding the business and making an impact with data. You ask sharp questions, design thoughtful data models, and build relevant pipelines with low tech debt. You know great data engineering isn't about shipping pipeline after pipeline — it's about data quality, governance, and knowing your sources well enough to make the right trade-offs. You'll build well-documented, context-rich datasets and self-service tools (new or reused) that put data directly in the hands of the people who need it most — applying data mining, data modeling, and AI to evaluate business health and drive measurable improvement.. Key job responsibilities Know why you're building, not just what. Ask sharp questions first, understand your data and its significance, reuse before you rebuild, and set clear data contracts so data is always traceable to its source — and correct. Own the design, development, and operation of scalable, production-grade, context-driven data pipelines — including the infrastructure behind them — keeping them lightweight, cost-efficient, auditable, and highly available to power metrics, reporting, analytics, and ML/LLM use cases. Build context-rich "source of truth" datasets and reusable, dimensional data models that track the infrastructure delivery lifecycle (intake → deployment → decommission), serving as a trusted, intuitive-to-query foundation for downstream consumers while keeping tech debt in check. Design data models and ETL/ELT workflows to ingest, transform, and integrate data from diverse sources using AWS services (e.g., S3, Redshift, Glue, EMR, Athena, Lambda) and internal Amazon data platform tools. Define and champion data quality/ engineering and governance best practices — validation, monitoring/alerting, testing, design standards, documentation, and governance — to keep pipelines accurate, trustworthy, and well-maintained. Partner with Software, Product, and other Data Engineering teams to source and model the right business entities, so any team can answer their own questions without waiting in a queue. Troubleshoot operational and data-quality issues with root-cause analysis and durable fixes; audit existing pipelines, jobs, and queries, and recommend improvements to upstream sources for greater accuracy, simplicity, and scalability About The Team We are the PAX Data and Analytics team — a small, high-conviction group of BI Engineers and Data Engineers embedded in one of the world's largest and fastest-growing data center organizations. We were established less than a year ago with a clear mandate: turn operational complexity into decision-ready clarity. We don't build data pipelines and dashboards . We build context — the kind that lets leaders act with confidence and operators spot problems before they become incidents. Our work spans the full data lifecycle: sourcing and integrating raw operational signals, engineering relevant and reliable pipelines, and surfacing insights through self-service tools that hundreds of people rely on daily. Every pipeline we ship, every standard we define, and every contract we establish becomes the foundation for what comes next We are young, we are scrappy, and we are building something that will outlast us. If you want to lay foundations that an entire organization will stand on — you're in the right place. Basic Qualifications 4+ years of data engineering experience Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field Experience with data modeling, warehousing and building ETL pipelines Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with SQL Experience working on and delivering end to end projects independently Preferred Qualifications Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually Company Amazon.com Services LLC Job ID: A10580357

Description Do you love turning messy, large-scale data into pipelines people can trust? If you want to solve hard data warehousing problems, partner directly with stakeholders, and see your work impact millions of customers in weeks — not years — we'd like to talk to you. At Amazon, we hire the best minds in technology to innovate on behalf of our customers. Customer obsession is part of our DNA — it's why we're one of the world's most beloved brands. As a Data Engineer, you'll use the latest technology to solve complex problems and see the impact of your work first-hand. As a Data Engineer in WWSNA, you'll work in one of the world's largest and most complex data warehouse environments, building the infrastructure that powers Amazon's Inbound & Outbound Transportation business. You'll design and operate scalable data models and pipelines — integrating diverse data sources and curating datasets that fuel reporting, analytics, ML models, and ad-hoc requests. This role is highly collaborative: you'll partner with business owners, product teams, and tech leaders to gather requirements and build the data solutions that meet real business needs. Strong business and communication skills matter as much here as technical depth. Key job responsibilities Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda). Architect scalable data pipelines that power customer reporting and analytics infrastructure for internal Finance customers. Integrate data across heterogeneous sources: extracting, transforming, and loading with a focus on data quality and sound design trade-offs. Partner with finance managers, developers, and BI Engineers to deliver data architecture projects and next-generation financial solutions. Drive engineering excellence through code reviews, design discussions, and team planning; continually improving reporting processes and expanding self-service automation. Identify and implement process improvements that scale existing solutions, launch new ones, and drive innovation based on stakeholder needs. Own operational reliability: diagnosing and resolving issues through rigorous root cause analysis to maintain high system availability. A day in the life You start your morning reviewing pipeline health dashboards and triaging data quality alerts on cost data flowing across transportation segments. Mid-morning, you collaborate with finance analysts to validate cost allocation logic for a carrier segment being onboarded into the platform. After lunch you build and test an ETL module that integrates a partner team's operational data feed, then pair with a teammate on a code review to ensure the solution scales across regions. Your afternoon wraps up with a design session on extending item-level cost granularity to support new reporting dimensions. About The Team Our team within Operations Finance builds and operates the self-serve data platform that powers financial reporting, bridging, and analytics for over 2,500 finance customers across multiple regions. We support 10+ data producer teams and are focused on scaling automation, improving data quality, and incorporating AI-driven workflows for both our builders and customers. If you want to shape how a global finance organization interacts with data, this is the place to do it. Basic Qualifications 1+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Bellevue - 101,300.00 - 160,000.00 USD annually Company Amazon.com Services LLC Job ID: A10593516

About Karoo Health Cardiovascular care is often the #1 cost for health plans and employers, with the current fee for service model incentivizing providers to maximize volume and throughput at the expense of clinical outcomes and patient satisfaction. Karoo's mission is to improve the lives of every cardiac patient in America by transforming the current care model to improve patient outcomes at significantly lower cost. Karoo deploys a value-based approach which combines a blend of traditional, guideline-based medicine and state of the art digital tools to accomplish this important mission by enabling the conversion to, and success in, value-based care arrangements for cardiovascular networks, health systems and payers. Karoo is backed by leading venture capitalists, including First Trust Capital Partners and BIP Ventures, and has near and medium-term plans for further rounds. Senior Data Engineer Overview Job Description Location: Pittsburgh preferred, or remote, U.S.-based Type: Full-time technical role An Industry Defining Company Karoo is a venture-backed startup, prior to Series A, on a mission to transform cardiovascular care. Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. While our initial focus is cardiology, we are building a scalable operating system for managing complex conditions across the healthcare spectrum. This is a rare opportunity to join a mission-driven founding team at a pivotal stage and help define the future of healthcare technology, with the power to improve the lives of patients with cardiovascular disease, the number one cause of death in America today. The Role Karoo Health is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Karoo Health, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. When applying, please include a description of why you're interested in this role. What You'll Do Design and Architect Data Systems: Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture. Design Core Healthcare Data Models: Own the design and evolution of foundational data models and schemas from the ground up, leveraging industry standards such as TUVA, OMOP and FHIR to translate clinical, operational, product, and reporting needs into scalable table structures, entities, and relationships. Develop Data Pipelines: Build and maintain complex, production-grade data pipelines that ingest, process, enrich and normalize large volumes of healthcare data ensuring consistency, usability, and data integrity across downstream applications. Data Quality and Governance: Establish and enforce data quality standards, monitoring, and validation processes to ensure the accuracy, completeness, and consistency of data used for analytics. Performance Optimization: Implement query tuning, indexing, and partitioning strategies to maximize the performance and efficiency of data processing systems and data retrieval. Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging infrastructure-as-code best practices. Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA, HITRUST) and implement data security best practices. Build and Maintain EMR Integrations: Develop direct, bi-directional integrations with electronic medical record platforms. What We're Looking For Deep, hands-on experience working with healthcare data, including healthcare data standards and common data models such as TUVA, OMOP, or FHIR. Demonstrated experience designing core data models and schemas from scratch, including translating business, clinical, product, or user requirements into scalable data structures. Experience mapping raw healthcare data into standardized healthcare data models, including resolving data quality, normalization, terminology, and structural inconsistencies. Hands-on experience integrating directly with EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne, Epic, or comparable systems. Experience with healthcare data regulations (e.g., HIPAA, HITRUST) and data formats (e.g. FHIR) Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience Minimum 5 years of dedicated professional experience in a Data Engineering role, preferably within a startup or fast-paced healthcare technology environment. Expert proficiency in SQL and at least one programming language used for data processing (Python or Scala). Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake). Demonstrated hands-on experience with Big Data processing frameworks like Apache Spark or Dask. Deep understanding of cloud platforms (AWS preferred) and cloud-native development, including services like S3, Lambda, and RDS. Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions for managing data pipelines. Expert knowledge of system architecture, scalability, and performance optimization for data systems. Experience with test automation, CI/CD, and DevOps best practices for data deployments. Ability to work independently and make high-impact technical decisions. Must be legally authorized to work in the United States and not require employer sponsorship now or in the future Why Join Us Competitive salary and equity in an early-stage startup. Opportunity to define the technical solution from the ground up Possibly fully remote work environment with flexible hours Health benefits, learning stipends, and professional development support A collaborative and transparent company culture that values creativity and ownership Equal Opportunity Statement At Karoo Health Inc ("Karoo"), we believe that improving healthcare starts with creating a more equitable and inclusive world, both inside and outside our organization. We are committed to fostering a diverse workforce that reflects the communities we serve, and to building a culture where every team member feels valued, supported, and empowered. Our commitment to inclusion is reflected in initiatives such as equitable compensation practices, employee resource groups, inclusive benefits, and more. Karoo Health is proud to be an equal opportunity employer. We maintain a strict policy of non-discrimination for all applicants and employees. What does that mean for you? It means that we are dedicated to providing a workplace that is inclusive, respectful, and free from discrimination or harassment of any kind. Employment decisions at Karoo Health are made based on merit, qualifications, and business need, without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran status, political affiliation, or any other characteristic protected under applicable law. This policy applies to every aspect of the employment journey, from recruitment and hiring to compensation, benefits, training, promotion, performance evaluation, and beyond. We're committed to doing the right thing, always, and that includes creating a fair and inclusive hiring process and workplace for all. Karoo Health welcomes all. In the United States, compensation is determined by factors including location, role level, job-related skills, experience, and market conditions. Some positions may also be eligible for bonuses, equity, or other benefits. To learn more about Karoo Health's benefits, please contact our People Team.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to : Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution. Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity We are seeking a highly skilled and experienced Senior DevOps Engineer to design, implement, and optimize scalable DevOps solutions that support the build, release, and deployment of modern cloud-based applications. The ideal candidate will have strong hands-on expertise with DevOps tools, CI/CD processes, and Azure cloud services, along with a deep understanding of source control and release automation. What You'll Work On Design, implement, and maintain robust CI/CD pipelines to automate build, test, and deployment processes. Drive best practices for DevOps processes, including continuous integration, continuous delivery, and infrastructure as code. Manage and optimize source code repositories and branching strategies using tools like GitHub and Azure Repos. Build and maintain release automation workflows using Azure DevOps, GitHub Actions, Jenkins, or similar tools. Provision, configure, and manage Azure cloud infrastructure, ensuring scalability, security, and high availability. Collaborate with development, QA, and operations teams to streamline delivery pipelines and improve deployment frequency. Monitor system performance, troubleshoot issues, and implement improvements to ensure reliability and efficiency. Implement and maintain infrastructure as code (IaC) using tools such as ARM templates, Bicep, or Terraform. Ensure compliance with security standards and implement DevSecOps practices across pipelines. Required Qualifications Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 5+ years of experience in DevOps, Site Reliability Engineering, or related roles. 3+ years of experience building iOS and Android mobile applications. Strong hands-on experience with : Source code management systems (GitHub, Azure Repos) CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) Proven expertise in build and release automation processes. Solid experience in Azure cloud platform, including : Azure Kubernetes Service (AKS) Azure Database for PostgreSQL Azure Service Bus Azure Cache for Redis Azure AD B2C Azure API Management (APIM) Experience with containerization technologies (Docker, Kubernetes). Strong scripting skills (e.g., Python, Bash, PowerShell). Experience with monitoring and logging tools. Cloud Infrastructure & Identity Management Design, configure, and maintain Azure infrastructure including CDN rules, Key Vault secrets/certificates, managed identities, and B2C tenant integrations for mobile applications across multiple environments (Dev, QA, Prod). CI/CD Pipeline Development & Automation Build and maintain Azure DevOps pipelines for mobile app builds (iOS/Android), including secure file management, environment-specific configurations, and automated deployments to TestFlight and Google Play Console. Mobile Backend & API Platform Configuration Configure backend services including APIM policies, JWT validation, Service Bus authentication, SSL certificate pinning, and mobile Graph API integrations to support Flutter mobile applications. Firebase & Push Notification Infrastructure Set up and manage Firebase projects, configure APNs authentication keys, manage Firebase Admin SDK credentials in Key Vault, and ensure reliable push notification delivery for both iOS and Android platforms. Security, Compliance & Release Management Implement security controls including certificate management, keystore generation, provisioning profile management, and coordinate cross-functional releases ensuring all pre-deployment checklists and environment registrations are validated. Preferred Qualifications Experience implementing infrastructure automation using Terraform, Bicep, or ARM templates. Knowledge of DevSecOps practices and security integration in CI/CD pipelines. Experience working in microservices and cloud-native architectures. Familiarity with observability tools (Prometheus, Grafana, Azure Monitor, etc.). Experience in high-availability, distributed systems environments. Relevant Azure certifications preferred, such as : Microsoft Certified : Azure Administrator Associate (AZ-104) Microsoft Certified : Azure DevOps Engineer Expert (AZ-400) Microsoft Certified : Azure Solutions Architect Expert (AZ-305) Kubernetes/AKS-related certifications (e.g., Certified Kubernetes Administrator - CKA, CKAD) Apply Now Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives : www.abbottbenefits.com Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews. The base pay for this position is $90,000.00 – $180,000.00. In specific locations, the pay range may vary from the range posted.

Job Description BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, enables the U.S. government to transform data into intelligence and provides engineering, integration and sustainment support for critical military platforms and systems. Intelligence & Security provides services and products to the Department of Defense, the government, federal law enforcement officials, and troops deployed around the world. At BAE Systems, we promote a strong, collaborative culture and provide our employees with the tools, skills and training they need to succeed. We are all about trust, camaraderie, and a shared ambition to lead the world in defense technologies and national security services. We offer flexible work environment to support the balance in your life and keep you performing at your best. Be a part of a company that is part of the community; driven to improve our future and protect our freedom. Job Description: BAE Systems is seeking a highly motivated Azure Pipeline Deployment Engineer to support enterprise‑scale cloud modernization and secure software delivery initiatives. In this role, you will design, implement, and maintain automated deployment pipelines that enable rapid, reliable, and compliant delivery of mission‑critical applications. You will partner closely with development, cybersecurity, and infrastructure teams to ensure solutions meet rigorous security, performance, and operational standards. This position requires strong technical depth in Azure DevOps, CI/CD automation, and cloud‑native deployment patterns, along with the ability to operate in a fast‑paced, solutions‑focused environment. Key Responsibilities: Design, build, and maintain Azure/Cloud DevOps CI/CD pipelines supporting application deployments across development, test, and production environments. Implement automated build, test, and release processes using YAML pipelines, Git repositories, and Azure DevOps Services. Manage and optimize Azure infrastructure deployments using ARM/Bicep templates, Terraform, or similar IaC tools. Collaborate with development teams to integrate secure coding, automated testing, and quality gates into deployment workflows. Troubleshoot pipeline failures, deployment issues, and environment inconsistencies with a focus on root‑cause analysis and long‑term stability. Ensure compliance with BAE Systems security, configuration management, and change‑control processes. Support containerized workloads using Docker and Azure Kubernetes Service (AKS) where applicable. Monitor pipeline performance, implement improvements, and maintain documentation for operational continuity. Participate in Agile ceremonies and contribute to continuous improvement of engineering practices. Provide technical guidance to junior engineers and cross‑functional partners. ABC Required Education, Experience, & Skills Bachelor's Degree and 11 years work experience or equivalent experience. Experience designing and maintaining Azure, or other Cloud, DevOps pipelines (YAML and classic). Hands‑on experience with Azure/Cloud services, including App Services, Key Vault, Storage, Networking, and Azure Monitor. Strong understanding of CI/CD principles, DevSecOps practices, and automated deployment strategies. Proficiency with Infrastructure‑as‑Code (ARM, Bicep, Terraform). Experience with Git‑based version control and branching strategies. Ability to troubleshoot complex deployment and configuration issues across cloud environments. Familiarity with secure development and compliance frameworks. Strong communication skills and ability to work in a collaborative, mission‑driven environment. Preferred Education, Experience, & Skills Experience supporting DoD or defense‑sector programs. Knowledge of containerization and orchestration (Docker, AKS). Experience integrating security scanning tools (SAST, DAST, dependency scanning) into pipelines. Familiarity with PowerShell, Bash, or Python for automation. Certifications such as AZ‑400, AZ‑104, or related Azure credentials Pay Information Full-Time Salary Range: $149603 - $254317 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. About BAE Systems, Inc. BAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support. Our culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters. This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

As a forward-deployed engineer, you'll work on-site with customers — writing code, integrating systems, and solving hard problems in the field. You're part engineer, part technical advisor, and wholly accountable for making the mission succeed. The position requires a current or active U.S. TS/SCI clearance. Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. As we expand, we're building a culture where innovation meets mission-critical work. We operate with a flat organizational structure that empowers every team member to make an impact, collaborate directly with leadership, and contribute to projects that matter. Whether you're joining our Hardware, Software, or Services division, you'll work alongside talented professionals who are committed to excellence and advancing the capabilities that keep our nation safe and secure. Spear AI builds sonobuoy sensors that are deployed into the water and collect edge data. We also work with the U.S. Navy to collect and process their SONAR data. You'll have an opportunity to work on real-world projects that directly impact warfighter capabilities and mission success. What You'll Do We're a small team wearing many hats, and you'd have a wide variety of responsibilities that include: Design and implement cloud architecture. Develop Infrastructure as Code using Pulumi. Build and maintain GitLab CI/CD and DevSecOps pipelines. Continuously deploy to AWS cloud and air-gapped environments. Monitor applications/services with OpenTelemetry, Sentry, and SigNoz. Enforce CMMC compliance policies and rules. Manage secrets and configuration. Deploy, configure, and troubleshoot infrastructure within customer and air-gapped environments. Support RHEL/Linux-based platforms using Kubernetes, Podman, Docker, and Helm in operational environments. Partner directly with customer engineering teams to integrate, test, and resolve infrastructure issues. Travel to customer sites as needed to support deployments, upgrades, and mission execution. Who You Are We're looking for someone with strong Software Engineering skills who shares our most important values: You're fanatical about polish. Every detail matters. You love to make sure your code is linted, formatted, fully typed, and has 100% test coverage. You care about correctness. You take pride in the fact that downstream consumers trust libraries and services you build. You obsess over performance. You daydream about Lighthouse scores and query speed. You dive deep. It's important for you to really know how things work. You're always building prototypes and setting up experiments to reinforce your understanding. You live on the bleeding edge. You've got a long list of upcoming platform features you're excited about and can't wait for the next nightly to drop. You're a great teacher. You know how to break down a concept for a specific audience and make it click with them in a way that gets them excited. Why work with us We ship — We don't work on 18-month projects that are irrelevant before they're even finished. Our work has impact — We build products that are deployed to U.S. submarines and integrate with the sonobuoys we manufacture. We're growing responsibly — We have the resources to hire a lot more people, but we don't want to build a massive team of people who don't share our values. We're profitable — We aren't burning through cash trying to make the business work. But we also have investors who believe in us and are committed to our success. We care about doing great work — You don't need permission to sweat the details here. We don't take ourselves too seriously — We're building products that make the world safer. But we don't let that get to our heads. Important Skills Expert in Infrastructure as Code using Pulumi or Terraform. Expert in Docker and Kubernetes. Experience with Red Hat Enterprise Linux (RHEL), Linux system administration, and Podman. Experience deploying and managing containerized environments using Docker, Kubernetes, Helm, and Podman. Expert in CI/CD and DevSecOps, including GitLab CI/CD and GitHub Actions. Proficiency in AWS and/or other cloud services. Experience with scripting and automation using Bash, Python, Go, or TypeScript. Proficiency with networking. Familiar with cybersecurity compliance frameworks like CMMC, PCI, or SOC. Familiar with Single Sign-on and Identity Providers (IdP) like Authentik and Keycloak. Experience deploying to air-gapped environments. Experience self-hosting on bare metal servers. Nice to have Experience supporting classified DoD or Navy environments. Experience deploying infrastructure to air-gapped environments. Familiarity with observability tools such as OpenTelemetry, Sentry, or SigNoz. Experience supporting edge computing, maritime systems, or sensor platforms. Experience with AWS GovCloud or other secure cloud environments. Experience working directly with government customers in operational environments. What we offer Unlimited PTO — Take the time you need to recharge and maintain work-life balance. Dedicated sick time — Your health and well-being come first. Comprehensive health and benefits – Medical, dental, and vision coverage to keep you and your family protected. 11 Paid Holidays — Enjoy time off throughout the year to celebrate and spend time with loved ones. Professional development — Educational opportunities and resources to help you grow your skills and advance your career. Collaborative environment — Work directly with leadership in our flat organizational structure, where your ideas and contributions matter. Mission-driven work — Contribute to projects that directly support national security and make a real-world impact. Growth opportunities — Join us during an exciting expansion phase where you can help shape our future. Additional benefit opportunities when you choose Spear AI: 401(k) with company match. Onsite / Remote / Flexible work arrangements or hybrid options (position dependent). Relocation assistance (position dependent). Referral bonuses. Performance bonuses. Life insurance and disability coverage. Technology home office setup stipend. Professional certification reimbursement (position dependent). We offer competitive compensation tailored to your experience, location, and the impact you'll make. We're committed to equitable pay and will share a range aligned to your level and geography during the hiring process. In accordance with state law, candidates in jurisdictions such as CA, CO, WA, NY, and others, where applicable, will be provided a good-faith salary range upon request and throughout the hiring process. This is a full-time, exempt position under the Fair Labor Standards Act (FLSA) and is not eligible for overtime pay. Compensation for this position is provided on a salaried basis and is not subject to reduction based on hours worked. At Spear AI, you'll find more than just a job; you'll join a mission-driven team where your work directly contributes to national security. Our flat organizational structure means your voice matters, your ideas reach leadership, and your impact is visible. As we grow, we're committed to building robust processes and infrastructure that support both our mission and our people. We value collaboration, continuous improvement, and the expertise each team member brings to the table. If you're looking for a place to grow professionally while working on projects that truly matter, we'd love to hear from you.

About Digital Harbor Digital Harbor has been a pioneering innovator of Composite Risk & Compliance solutions for over a decade. Our award-winning platform is trusted by some of the largest U.S. Financial Institutions, Government Intelligence Agencies, and Healthcare organizations. Currently, Digital Harbor is driving the integration of Web 3.0 into enterprise solutions through its Social Enterprise Technology (SET) platform. We are seeking creative and innovative engineers who are passionate about building scalable cloud platforms and enabling modern software development. Location: Hybrid (Remote + In-Office) Office Location: Lehi, UT 84043 Job Description As a DevOps Engineer at Digital Harbor, you will play a critical role in building, automating, and scaling the cloud platform that powers our SaaS products. You will work shoulder-to-shoulder with software engineers to improve developer productivity, automate software delivery, and build reliable, secure infrastructure that enables rapid product innovation. This role is ideal for someone who began their career as a Software Engineer or Software Developer and transitioned into DevOps, Platform Engineering, or Site Reliability Engineering. You understand modern software development because you've built software yourself and now enjoy improving how software is delivered at scale. Your primary objective will be to build world-class cloud infrastructure and developer platforms that empower engineering teams to rapidly deliver secure, scalable enterprise software. Ideal Candidate Background The strongest candidates will typically have career paths similar to: Software Engineer → DevOps Engineer Software Engineer → Platform Engineer Backend Engineer → DevOps Engineer Full Stack Engineer → DevOps Engineer We're seeking someone who understands software development from firsthand experience and enjoys building platforms, automation, and developer tooling that enable engineering teams to move faster. Experience working within a software product company or SaaS organization is strongly preferred. Key Responsibilities Build, automate, and deploy application code through modern CI/CD pipelines. Design, provision, and maintain scalable AWS cloud infrastructure. Build and maintain developer platforms that improve engineering productivity and deployment reliability. Design and optimize Continuous Integration (CI) and Continuous Delivery (CD) environments. Automate cloud infrastructure and operational processes using Infrastructure as Code. Partner daily with Software Engineers, QA Engineers, Product teams, and Architects to improve developer experience and software delivery. Troubleshoot and resolve issues related to application availability, scalability, performance, and reliability. Support modern microservices-based architectures, container orchestration, and cloud-native applications. Contribute to software development initiatives using technologies such as Java/Spring Boot and JavaScript/Node.js. Research emerging technologies, build proof-of-concept solutions, and recommend improvements to engineering platforms. Required Qualifications Experience Professional experience as a Software Engineer, Software Developer, or similar software-focused engineering role before transitioning into DevOps, Platform Engineering, or Site Reliability Engineering strongly preferred. 3+ years of DevOps, Platform Engineering, or SRE experience supporting modern software delivery. Experience working within a software product company or SaaS organization strongly preferred. Experience partnering closely with software engineering teams throughout the software development lifecycle. Demonstrated ownership of engineering platforms, automation, and cloud infrastructure. AWS & Cloud Technologies Strong experience with AWS services including ECS, EC2, S3, CloudFront, IAM, VPC, and related cloud technologies. Experience designing and supporting highly available, multi-tier cloud architectures. Experience automating cloud infrastructure using Infrastructure as Code. Programming & Development Strong software development experience using Java, JavaScript, Python, Go, or similar programming languages. Comfortable reading, debugging, and contributing application code when necessary. Experience using Git-based workflows within CI/CD environments. Strong understanding of REST APIs, distributed systems, and microservices architectures. Experience deploying and operating services on Kubernetes. Infrastructure & Databases Knowledge of Linux system administration. Familiarity with Elasticsearch and Redis. Strong understanding of relational and NoSQL databases. Experience supporting highly available cloud-native infrastructure. Methodologies & Collaboration Experience working within Agile software development environments. Experience collaborating with distributed engineering teams. Familiarity with Jira and modern engineering collaboration tools. Excellent written and verbal communication skills. Comfortable working in a remote-first engineering organization. Engineering Mindset Builder mentality with strong ownership of engineering outcomes. Passion for improving developer productivity through automation. Comfortable contributing code, automation, and infrastructure improvements. Continuously seeks opportunities to simplify engineering workflows. Bias toward automation over manual processes. Leads by example as a highly collaborative individual contributor. Preferred Qualifications Experience with Terraform or other Infrastructure-as-Code (IaC) platforms. Experience with CI/CD technologies such as GitHub Actions, Jenkins, GitLab CI, or equivalent. Experience with Docker and Kubernetes in production environments. Previous experience working for a software product company or SaaS organization. Experience supporting engineering organizations building commercial software products. Experience building developer platforms or internal engineering tooling. Education Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related technical field preferred. Why Join Digital Harbor? At Digital Harbor, DevOps is an engineering discipline, not simply infrastructure management. You'll help shape the platform that enables our engineering teams to deliver secure, scalable SaaS products while working alongside experienced software engineers in a highly collaborative environment. If you enjoy solving engineering problems through automation, cloud technologies, and platform design, you'll have the opportunity to make a significant impact on products used by some of the world's most demanding organizations. Digital Harbor is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state, and local laws that prohibit employment discrimination. Reasonable accommodations are available on request for candidates taking part in all aspects of the selection process.

REQUIRES AN ACTIVE/EXISTING TS/SCI WITH CI POLYGRAPH Location: Charleston, SC (Preferred) or Washington, DC Position Overview DAn Solutions is seeking a Senior DevOps Engineer to design, automate, deploy, and maintain secure cloud infrastructure supporting mission applications and enterprise services. The ideal candidate will have strong hands-on experience with AWS, Kubernetes, Infrastructure as Code, CI/CD automation, and cloud security within government environments. Key Responsibilities Design, build, and maintain AWS cloud infrastructure. Develop Infrastructure as Code and Ansible automation for consistent deployments. Deploy and manage containerized applications using Kubernetes and Red Hat OpenShift. Develop and maintain CI/CD pipelines supporting automated builds, testing, security checks, and deployments. Integrate automated security testing and vulnerability remediation into development workflows. Support AWS GovCloud and DoD Impact Level 5 environments. Implement centralized logging, monitoring, and alerting. Manage platform access controls, secrets management, and certificate handling. Troubleshoot Linux, cloud networking, storage, and container orchestration issues. Automate patching, deployment validation, rollback, and recovery processes. Maintain technical documentation and operational procedures. Required Qualifications Active TS/SCI clearance with CI Polygraph. Bachelor's degree in Computer Science, Engineering, Information Technology, Mathematics, or a related field. Typically 10 years of professional software engineering experience. Previous Intelligence Community experience. Hands-on AWS infrastructure experience, including networking, compute, storage, and IAM. Experience managing Kubernetes environments. Experience with Ansible, Infrastructure as Code, and CI/CD pipelines. Strong Linux administration and troubleshooting skills. Experience scripting with Python, Bash, or similar languages. Experience with Git and version-controlled infrastructure. Experience with Agile, DevOps, or DevSecOps practices. Agile Developer or Certified Scrum Developer certification. Preferred Qualifications Master's degree in a relevant discipline. DoD 8140/8570 IAM Level II or III qualifications. Experience with Red Hat OpenShift. AWS GovCloud and DoD IL5 experience. Terraform, AWS CloudFormation, and reusable Ansible automation. Automated application security testing and container image scanning. Experience supporting stateful services, databases, and recovery procedures. AWS, Kubernetes, Red Hat, or infrastructure automation certifications. Work Location This is a full-time, on-site position at a government facility. Charleston, SC is preferred; highly qualified candidates in the National Capital Region will also be considered. Salary Range Disclaimer: The posted salary range represents the good-faith minimum and maximum compensation DAn Solutions expects to pay for this position. The position may be filled at different Labor Category (LCAT) levels depending on the selected candidate's qualifications and applicable contract requirements. Final compensation within the posted range will be determined based on the applicable LCAT and factors including education, relevant experience, certifications, and other required qualifications

Mission GroqMetal is building the infrastructure platform that turns large-scale physical compute into a reliable, isolated, customer-consumable product. As a Kubernetes Platform Engineer, you will build and operate production software within the GroqMetal platform, helping deliver Kubernetes as a commercial product for customers running large-scale AI training and inference workloads. You will own meaningful platform components, work alongside experienced infrastructure engineers, and develop deep expertise in Kubernetes, distributed systems, and large-scale AI infrastructure. Location: This role will be based in one of our three hiring hubs: the Dallas, San Francisco, or New York City area . The person hired for this role must be based in one of these three areas. You'll have the flexibility to work remotely while we establish our local Groq office, with the expectation that this role will transition to onsite once the office opens. Responsibilities & Opportunities In This Role Build production Kubernetes platform capabilities: Implement APIs, controllers, operators, automation, and platform services that support the GroqMetal product by extending Kubernetes. Own components end to end: Take responsibility for well-defined platform capabilities from design and implementation through testing, deployment, operation, and continuous improvement. Operate what you build: Improve reliability, observability, performance, and operational efficiency, and participate in diagnosing and resolving production issues. Build a Kubernetes platform as a commercial platform: Develop capabilities used by dedicated customers running large-scale AI training and inference workloads. Develop distributed systems expertise: Build software that handles retries, failures, concurrency, reconciliation, and changing infrastructure state correctly. Improve the platform: Identify reliability, scalability, and usability problems and work with the team to deliver durable solutions. Collaboration is a core skill: Work within a team of experts to elevate the collective efforts of our team. Collaborate with engineers across infrastructure, inference, networking, infosec, and related teams to integrate platform capabilities holistically. Grow your technical scope: Contribute to design discussions, engineering practices, and technical decisions while developing toward ownership of increasingly complex platform systems. Ideal Candidates Have/are Software engineers first: Experience designing, implementing, testing, shipping, and maintaining production software. Hands-on Kubernetes experience: Experience building or operating Kubernetes-based systems, including areas such as controllers/operators, CRDs, cluster lifecycle, node management, scheduling, networking, or platform services. Production infrastructure experience: Experience operating software in production and debugging problems across application, Kubernetes, networking, compute, and infrastructure layers. Solid distributed-systems fundamentals: An understanding of failure handling, retries, idempotency, consistency, reconciliation, availability, and recovery, with an interest in developing deeper expertise. Experience with disciplined software development: Comfortable with code review, automated testing, CI/CD, observability, deployment, and production operations. Product-minded infrastructure engineers: Experience building Kubernetes, cloud infrastructure, or platform capabilities consumed by customers is highly valued, but not required. Hands-on experience with modern development tools: Experience using coding agents such as Codex, Claude Code, or similar tools in substantive engineering work is valued. Interested in the AI infrastructure domain: Experience with hyperscalers, neoclouds, GPUs, accelerator infrastructure, or AI workloads is valuable, but candidates with strong platform engineering fundamentals can develop this expertise in the role. Comfortable growing through ambiguity: Able to independently solve well-scoped problems, ask good questions when requirements are unclear, and work with senior engineers on broader architectural decisions. Why Join Us Purposeful Hiring: You're not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build what matters. Builders Wanted: You're not just riding the rocket ship, you're building it. Your work directly shapes the trajectory of our company. Mission-Driven Work: We're here to make a real impact. Our mission fuels everything we do. Tackling Hard Problems: If easy isn't your thing, you're in the right place. We solve some of the most complex and exciting challenges in our space. Excellence Is The Standard: High performance isn't just encouraged, it's the baseline. And it's contagious. If this sounds like you, we'd love to hear from you! Compensation Groq is committed to providing competitive compensation through our Total Cash philosophy, which incorporates potential bonus value directly into base pay. The total cash salary ranges for this position, which is inclusive of the potential bonus value, is dependent by level: Engineer: $184,800 - $250,000 Sr. Engineer: $223,600 - $302,500 Individual placement within these ranges is determined by your geographic location, experience, skills, and alignment with internal compensation standards. These ranges are specific to candidates located in the United States. Compensation for international candidates will vary based on local market dynamics. Beyond cash compensation, Groq also offers a Long-Term Incentive (LTI) Program and a robust suite of employee benefits.