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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 Atlas Air Worldwide. Move the World with Us! At Atlas Air Worldwide, we're not just an airline, we're a global engine powering cargo, passenger, and leasing operations across more than 70 countries. As a leader in outsourced aviation logistics, we're built on a foundation of safety , service excellence , integrity , innovation , teamwork , and responsibility . With over 30 years of history, a modern all-Boeing fleet, and nearly 5,000 teammates collaborating across operations, technical, and corporate functions, we're driven by purpose. If you're ready to grow, innovate, and help us deliver excellence every single day, you belong here. Position Summary: Atlas Air is seeking a Data Engineer to join our Data Platform and Engineering team. This is an early-career individual contributor role for an engineer who can deliver well-defined data solutions with guidance, build strong engineering fundamentals, and grow ownership over increasingly complex work. As we continue to build our data environment on Databricks, you will help build and operate reliable data pipelines, transformations, and data models. You will work within established architecture and standards, partner with more experienced engineers, and author production-quality code that supports analytics, data science, AI/ML, and operational decision-making. Major Accountabilities Data Pipeline Development Build, test, deploy, and maintain batch and streaming data pipelines for structured and semi-structured data sources using established patterns and frameworks. Develop data transformations that convert source data into accurate, documented, and reusable datasets. Implement data models and data products based on defined business requirements and technical designs. Use Databricks, Spark, orchestration tools, and cloud services to complete scoped engineering work with support from senior team members. Participate in code reviews and incorporate feedback to improve code quality, maintainability, and performance. Data Quality & Operations Create automated tests, validation checks, logging, and monitoring the pipelines and datasets you develop. Investigate data quality, reliability, and performance issues; resolve routine issues independently and escalate broader problems appropriately. Produce clear technical documentation, including data definitions, lineage, runbooks, and support notes. Participate in the team's on-call and incident response practices, with appropriate guidance and escalation support. Follow established security, privacy, governance, and access control requirements. Collaboration & Growth Work with Data Analytics, Data Science, Software Engineering, IT, Security, and business partners to clarify requirements and deliver fit-for-purpose solutions. Break defined requirements into engineering tasks, communicate progress and risks, and deliver work within agreed timelines. Contribute to team standards for source control, testing, CI/CD, documentation, and operational readiness. Learn the Atlas Air business domain and use that understanding to improve the usefulness and reliability of data products. Seek feedback, share knowledge, and progressively take ownership of larger components and less-defined problems. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative field; or equivalent practical experience. Minimum 1 year of professional experience in data engineering, software engineering, analytics engineering, or a closely related field. Working proficiency in SQL and at least one general-purpose programming language (e.g., Python, TypeScript, Rust, Java, C++, etc.). Experience building or supporting data pipelines, transformations, or data models in a professional, internship, academic, or substantial project setting. Familiarity with core data engineering concepts, including ETL/ELT, relational data modeling, data quality testing, and pipeline orchestration. Experience with Git-based development practices and an understanding of code review, automated testing, and deployment workflows. Ability to troubleshoot technical issues methodically, communicate clearly, and collaborate effectively with technical and non-technical partners. Desired Qualifications Hands-on exposure to Databricks, Apache Spark, or another distributed data-processing platform. Experience with dbt or a similar transformation framework and an orchestration tool such as Airflow, Prefect, or Dagster. Familiarity with one major cloud platform and its data services: AWS, Azure, or GCP. Exposure to streaming or event-driven technologies such as Kafka, Kinesis, Spark Structured Streaming, or Flink. Familiarity with BI, data science, or machine learning workflows and the data products that support them. Experience in aviation, transportation, logistics, or another operationally complex industry. Applicants must be legally authorized to work in the United States. This position is not eligible for employment visa sponsorship or employer immigration support either now or in the future. The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws. If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document by clicking "EEO Is The Law" . To view our Pay Transparency Statement, please click here: Pay Transparency Statement Competitive compensation will be offered based on a variety of factors, including a candidate's experience, skills, education, geographic location, internal equity and other factors. In addition, a range of benefits to include medical, dental and vision insurance, employee assistance program, as well as generous paid time off, and 401K contributions are offered as a part of the total compensation package. Pay Range $73,500—$100,000 USD At Atlas Air Worldwide , we believe in the power of people, the promise of innovation, and the responsibility we hold to each other, to our customers, and to the planet. Join us and be part of a team that lifts more than cargo; we lift ambition.

Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Position Details Title: Sr. Data Engineer Department: Information Technology Reports to: Sr. Manager, Data Engineering Location: Dearborn, MI Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job Summary The primary responsibility of this position is to design, build, optimize, and support secure, reliable, and scalable enterprise data solutions. The Senior Data Engineer provides technical leadership for Azure Databricks and Lakehouse architecture, data pipeline design and orchestration, data modeling and performance optimization, cloud-native data platforms, data governance and quality, and AI/ML-ready data products. This role mentors engineers and collaborates across business, analytics, architecture, security, and application teams to deliver trusted data for reporting, advanced analytics, machine learning, and operational use. Inspired by Hard Work At Carhartt, the values of hard work—dependability, honesty, and trust—are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission— We serve and protect all hardworking people by building durable products —we remain dedicated to upholding these principles in every decision we make and every product we create. Associate Responsibilities Design, develop, test, deploy, and support scalable batch and streaming data pipelines using Azure Databricks, Azure Data Factory, Python, PySpark, SQL, and related cloud-native services. Design and evolve Lakehouse architecture using Delta Lake and Azure Data Lake Storage, including reusable data products and medallion-oriented data layers where appropriate. Create and optimize conceptual, logical, dimensional, relational, and physical data models that are aligned with business meaning and analytical requirements. Optimize pipelines, SQL queries, clusters, storage layouts, and processing patterns for performance, reliability, scalability, and cost effectiveness. Implement orchestration, dependency management, scheduling, monitoring, logging, alerting, error handling, recovery, lineage, and observability for production data workloads. Apply data governance and quality practices, including metadata, cataloging, validation, reconciliation, security, privacy, retention, and access controls. Engineer trusted, well-documented, and reusable datasets and features that support reporting, advanced analytics, data science, and AI/ML use cases. Lead technical design discussions, establish engineering standards and reusable patterns, conduct code and design reviews, and document architecture decisions and tradeoffs. Mentor data engineers through pairing, technical guidance, code reviews, troubleshooting, coaching, and clear documentation. Partner with business stakeholders, analysts, data scientists, product owners, architects, security teams, application teams, and vendors throughout the solution life cycle. Apply software engineering practices including Git-based source control, automated testing, CI/CD, deployment automation, and infrastructure configuration. Provide advanced production support, root-cause analysis, corrective actions, and continuous improvement for complex data platform and pipeline incidents. Required Education Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field or equivalent related experience. Graduate degree preferred. Required Skills & Experience Minimum of 8 years of professional experience in data engineering, data warehousing, business intelligence, cloud data platforms, or a related field. Demonstrated experience designing, implementing, and supporting enterprise data solutions using Azure Databricks and Lakehouse architecture. Advanced experience with data pipeline design and orchestration, including batch and streaming patterns, dependencies, scheduling, monitoring, and recovery. Advanced SQL skills, including data modeling, query optimization, performance troubleshooting, and complex analytical transformations. Professional experience with Python and distributed data processing frameworks such as PySpark. Experience with Azure Databricks, Delta Lake, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Unity Catalog, Azure DevOps, and related Microsoft Azure data platform services. Experience designing conceptual, logical, dimensional, relational, and physical data models for analytical and operational use. Experience optimizing cloud workloads for performance, scalability, reliability, and cost effectiveness. Working knowledge of data governance, metadata, cataloging, lineage, data quality, security, privacy, retention, and access-control principles. Experience preparing trusted, governed, reusable, and well-documented data products that enable reporting, advanced analytics, data science, machine learning, generative AI, and future AI-driven business capabilities. Experience with Git-based development, code reviews, automated testing, CI/CD, and deployment automation. Experience integrating data from SAP, SAP Datasphere, APIs, files, events, product and master data platforms, and third-party enterprise systems. Demonstrated technical leadership through architecture and solution design, engineering standards and best practices, design reviews, mentoring, code reviews, reusable patterns, and technical guidance across delivery teams. Excellent verbal and written communication skills, including the ability to explain technical designs, risks, decisions, and tradeoffs to technical and business audiences. Strong cross-functional collaboration skills with business partners, analysts, data scientists, product owners, architects, security teams, and application teams. Ability to isolate complex problems, evaluate options, make practical decisions, and provide advanced production support during critical incidents. Professional cloud or data engineering certification considered a plus. Physical Requirements And Working Conditions Normal office environment. Extended periods of time sitting, standing, typing on a computer is required. Willing to work some weekends if necessary. This position has a Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events. Carhartt is a tobacco free workplace. This position offers a comprehensive suite of medical, dental, and vision insurance for associates and their dependents. In addition to healthcare coverage, Carhartt provides short-term and long-term disability insurance, life insurance, an employee assistance program, and a 401(k) plan with employer matching contributions. Employees can also benefit from paid time off and designated paid holidays. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. All associates are required to understand and act in accordance with the Carhartt Core Values. Carhartt reserves the right to change, modify, suspend, interpret or cancel in whole or in any part, the job duties outlined above at any time and without advance notice to the employee.

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

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. About The Role We're hiring a Senior Software Engineer for our Inference Cloud team. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and global scale. This is a hands-on individual contributor role focused on building cloud services and the Kubernetes infrastructure that runs them. You'll design and own cloud components, improve request routing and service connectivity, work with production databases, and debug issues across the stack. You'll take projects from design through rollout and ongoing operation, partnering closely with ML, Product, and Infrastructure teams. Responsibilities Kubernetes Infrastructure. Build and improve production Kubernetes environments on Amazon EKS. Own improvements to workload scheduling, autoscaling, cluster upgrades, resource utilization, network policies, and failure recovery. Service Networking & Traffic Control. Develop and operate traffic management infrastructure using Envoy and Istio. Improve routing, rate limiting, connection management, timeouts, retries, and failover to keep services responsive under changing demand. Databases. Build database-backed services and improve the reliability and performance of their data stores. Troubleshoot query performance, connection pooling, and availability issues, and strengthen backup and recovery practices. Reliability & Performance. Identify bottlenecks across applications, Kubernetes, networking, and databases. Improve latency, throughput, and capacity efficiency in high-QPS systems, including during traffic spikes and partial failures. Infrastructure & Deployment Automation. Use Terraform, Argo CD, and Kustomize to automate infrastructure provisioning and application delivery. Improve deployment validation, rollback, and operational tooling. Production Operations & Collaboration. Build actionable metrics, logs, traces, dashboards, and alerts. Investigate incidents, deliver lasting fixes, and contribute to design reviews, code reviews, and shared engineering practices. Skills & Qualifications 5+ years of software engineering experience, including building and operating production services or cloud infrastructure. Strong Kubernetes expertise, including workload lifecycle, networking, service discovery, storage, autoscaling, and troubleshooting cluster and application failures. Hands-on experience with Amazon EKS or a comparable managed Kubernetes service. Experience configuring and troubleshooting Envoy and Istio, or comparable proxy and service mesh technologies. Solid understanding of HTTP, gRPC, DNS, TLS, and mTLS. Experience developing services that use production databases, with practical knowledge of query optimization, indexing, connection management, and database reliability. Strong programming skills in Go or another backend or systems language, with the ability to write, test, and maintain production software. Experience with infrastructure as code and automated deployment workflows using Terraform, Argo CD, Kustomize, or equivalent tools. Experience diagnosing performance and reliability issues using metrics, logs, and tracing. Ability to independently deliver projects, explain technical tradeoffs, and collaborate effectively across engineering teams. Preferred Skills & Qualifications AWS networking experience, including VPNs, Transit Gateway (TGW), Direct Connect (DX), VPC routing, and security groups. Experience designing distributed systems, including replication, consistency, fault tolerance, and multi-region operation. Production programming experience in C++. Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience reducing time to first token (TTFT) and tail latency is a strong plus. Familiarity with ML inference infrastructure or model serving systems. Why Join Cerebras About People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Find out more about what it's like to work at Cerebras here ! Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Senior Software Engineer – Kubernetes Operators & Controllers Location: Dallas, TX Preferred Work Arrangement: Hybrid, 3 Days Onsite / 2 Days Remote Remote Flexibility: Full remote may be considered for the right candidate Relocation: Available for qualified non-local candidates Employment Type: Direct Hire Overview Our client is seeking a Senior Kubernetes Engineer to design and build the software powering a next-generation GPU-accelerated compute platform supporting AI, machine learning, LLM, and HPC workloads. This is a software development role focused on Kubernetes , not a traditional DevOps, SRE, or Kubernetes administration position. The core focus is building Kubernetes-native software including custom operators, controllers, CRDs, APIs, schedulers, and internal platform services used to orchestrate large-scale GPU infrastructure. The ideal candidate is a strong developer who understands Kubernetes internals and has experience building software on top of Kubernetes, not simply deploying applications or maintaining clusters. Key Responsibilities Develop Kubernetes-native software using Go, Python, or similar languages. Build custom operators, controllers, CRDs, APIs, and platform services. Extend Kubernetes to support GPU-intensive AI/ML and HPC workloads. Develop automation for cluster provisioning, lifecycle management, scheduling, and infrastructure orchestration. Build GPU scheduling, allocation, workload placement, and resource-isolation capabilities. Integrate NVIDIA technologies including GPU Operator, device plugins, MIG, and DCGM. Develop internal tools and APIs for provisioning and managing GPU compute resources. Improve platform scalability, GPU utilization, workload performance, and reliability. Integrate Kubernetes with high-performance networking, storage, and bare-metal infrastructure. Build observability and automated remediation capabilities for distributed compute environments. Required Qualifications Strong software development experience with Go, Python, or another modern programming language. Hands-on experience building Kubernetes operators, controllers, CRDs, APIs, or similar Kubernetes-native software. Strong understanding of Kubernetes architecture, controllers, reconciliation, scheduling, RBAC, networking, and cluster lifecycle. Experience building platforms or distributed systems on Kubernetes. Experience with GPU infrastructure and NVIDIA technologies. Experience supporting AI/ML, LLM, HPC, or other compute-intensive workloads. Strong Linux and distributed systems knowledge. Experience with Terraform, Helm, Kustomize, Argo CD, Flux, or similar tooling. Ability to troubleshoot across Kubernetes, compute, networking, storage, GPU, and application layers. Preferred Experience NVIDIA GPU clusters. Slurm, Volcano, kube-scheduler extensions, or custom scheduling. CUDA, NCCL, PyTorch, or TensorFlow. InfiniBand, RDMA, RoCE, or other high-performance networking. Bare-metal Kubernetes. Internal developer platforms or self-service infrastructure. AI infrastructure, HPC, cloud infrastructure, or large-scale distributed systems. Ideal Candidate The ideal candidate is a software developer who builds Kubernetes-native systems . This person should be comfortable writing operators, controllers, APIs, schedulers, and automation that extend Kubernetes and manage complex GPU infrastructure. Candidates whose background is primarily DevOps, CI/CD, Terraform administration, application deployment, or Kubernetes operations without substantial software development experience are unlikely to be the right fit. Dallas-based candidates are preferred, but full remote may be considered for candidates with exceptional Kubernetes development and GPU infrastructure experience.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.

OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov's mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com. Job Summary OpenGov is modernizing how governments operate. The infrastructure for that mission must be fast, resilient, and ready to scale. As a Sr. DevOps Engineer, you'll own the design and delivery of the cloud systems, CI/CD pipelines, and security architecture that keep our multi-tenant SaaS platform running for thousands of public sector customers. This is a high-ownership role for an engineer who moves fluidly between deep technical execution and cross-functional influence. This engineer builds AI-forward infrastructure that directly shapes how government services are delivered. Responsibilities Architect and own OpenGov's multi-tenant Azure and AWS infrastructure, ensuring high availability, fault tolerance, and disaster recovery readiness at scale. Lead infrastructure-as-code strategy using any IaC (Terraform, CloudFormation, Pulumi, or Crossplane), driving consistency, repeatability, and auditability across environments. Design, build, and continuously improve CI/CD pipelines (GitHub Actions, Jenkins, CircleCI, or others) that enable rapid, reliable feature delivery. Drive cloud cost optimization and performance engineering across AWS and Azure services, balancing efficiency with reliability commitments. Own the security posture of cloud infrastructure and partner with compliance teams on SOC2 and StateRamp adherence. Establish and manage observability practices using tools like Grafana, Prometheus, and Azure Monitor. Lead incident response and post-mortem processes with a focus on systemic improvement. Serve as a cross-functional technical advisor to engineering, product, and security teams. Translate business priorities into scalable infrastructure decisions. Mentor and develop junior engineers, elevate technical standards, and build a culture of operational excellence. Requirements And Preferred Experience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. 8+ years of software engineering experience with a deep focus on cloud infrastructure, DevOps, and platform engineering. 3+ years running Kubernetes at scale in production on public cloud environments (Azure preferred). Proven track record with AWS, Azure, or GCP infrastructure for SaaS applications. Experience includes managed Kubernetes, databases, networking, and RBAC management. Hands-on expertise with infrastructure-as-code tools (Terraform, CloudFormation, Pulumi, or Crossplane) in production environments. Strong command of CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or equivalent) and modern delivery practices. Deep knowledge of cloud security practices, including encryption, RBAC, IAM, and network security architecture. Proficiency in at least one modern programming language (Python, Go, Java, or Ruby). Experience with AI-driven developer tooling, workflow automation, or agent-based systems in an engineering context. Familiarity with ArgoCD or other GitOps-based deployment frameworks. Experience with regulated environments and compliance frameworks such as SOC2 or StateRamp. Why OpenGov? A Mission That Matters. At OpenGov, public service is personal. We are passionate about our mission to power more effective and accountable government. Government that operates efficiently, adapts to change, and strengthens public trust. Some people say this is boring. We think it's the core of our democracy. Opportunity to Innovate The next great wave of innovation is unfolding with AI, and it will impact everything—from the way we work to the way governments interact with their residents. Join a trusted team with the passion, technology, and expertise to drive innovation and bring AI to local government. We've touched 2,000 communities so far, and we're just getting started. A Team of Passionate, Driven People This isn't your typical 9-to-5 job; we operate in a fast-paced, results-driven environment where impact matters more than simply clocking in and out. Our global team of 800+ employees is united in our commitment to challenge the status quo. OpenGov is headquartered in San Francisco and has offices in Atlanta, Boston, Chicago, Dubuque, Dallas, and Pune. A Place to Make Your Mark We pride ourselves on our performance-based culture, where every employee is encouraged to jump in head-first and take action to help us improve. If you have a great idea, we want to hear it. Excellent performance is recognized and rewarded, and we love to promote from within. Benefits That Work For You Enjoy an award-winning workplace with the benefits to match, including: Comprehensive healthcare options for individuals and families Flexible vacation policy and paid company holidays 401(k) with company match Paid parental leave, wellness stipends, and HSA contributions Professional development and growth opportunities A collaborative office environment with weekly catered lunches.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Infrastructure Engineer based in the United States. The Senior Cloud Infrastructure Engineer will design, build, and operate the cloud infrastructure powering a modern, cloud-native SaaS platform. This hands-on engineering role focuses on Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Kubernetes cluster operations, Terraform, and cloud networking. You will own critical infrastructure foundations, ensuring security, reliability, scalability, and cost efficiency across production environments. Working closely with Platform Engineering, Site Reliability Engineering (SRE), and Security teams, you will improve infrastructure automation, observability, and operational resilience. The role offers opportunities to solve complex technical challenges, influence architectural decisions, and mentor fellow engineers. This fully remote US opportunity is ideal for an infrastructure specialist who enjoys deep technical ownership and building robust systems at scale. Accountabilities Cloud Infrastructure Engineering: Design, build, operate, and maintain production infrastructure on Google Cloud Platform, including GKE, VPC networking, load balancers, Cloud DNS, IAM, and related cloud services. Kubernetes Cluster Management: Own the architecture and lifecycle of production Kubernetes clusters, including provisioning, upgrades, node pool management, autoscaling, networking, capacity planning, and troubleshooting. Infrastructure as Code: Develop and maintain reusable Terraform modules, infrastructure-as-code frameworks, and automated provisioning workflows to ensure infrastructure changes are consistent, repeatable, and reliable. Cloud Networking: Design and manage VPCs, subnetworks, firewall rules, routing, Cloud NAT, load balancing, and connectivity across services and environments. Technical Troubleshooting: Diagnose and resolve complex infrastructure issues involving Kubernetes, Linux, DNS, networking, cloud services, and distributed systems using systematic debugging and production diagnostics. Observability and Monitoring: Improve infrastructure visibility through Prometheus, logging platforms, metrics, alerting, and related monitoring tools. Security and Access Management: Implement and maintain infrastructure security controls, including IAM policies, service accounts, secrets management, least-privilege access, Kubernetes RBAC, and network policies. Reliability and Optimization: Drive improvements in infrastructure availability, scalability, performance, capacity planning, and cloud cost efficiency. Infrastructure Upgrades and Migrations: Plan and execute Kubernetes and GCP upgrades, migrations, and architectural improvements while minimizing production risks and service disruption. Cross-Functional Collaboration: Partner with Platform Engineering, SRE, and Security teams to establish scalable infrastructure standards, improve operational practices, and clarify technical ownership. Technical Leadership: Contribute to architecture discussions and technical design reviews, mentor other engineers, and promote improvements in reliability, maintainability, and engineering quality. Requirements Professional Experience: At least three years of hands-on production experience designing, provisioning, operating, and troubleshooting cloud infrastructure. Google Cloud Platform: Strong knowledge of GCP services and networking, including VPCs, subnets, firewall rules, routing, Cloud NAT, Cloud DNS, Cloud Load Balancing, projects, IAM policies, service accounts, and security configurations. Kubernetes and GKE: At least three years of hands-on experience operating production Kubernetes clusters, preferably GKE. Experience must include cluster provisioning, administration, upgrades, and infrastructure-level troubleshooting; deploying applications into existing clusters alone is not sufficient. Kubernetes Architecture: Strong understanding of control planes, worker nodes, scheduling, networking, services, ingress, storage, resource management, node pools, autoscaling, resource requests and limits, and cluster capacity. Infrastructure as Code: At least three years of professional Terraform experience managing production cloud infrastructure, developing reusable modules, handling remote state, and implementing safe change-management processes. Automation and Version Control: Proficiency in scripting with Python, Go, Bash, or similar languages, along with experience using Git-based infrastructure workflows, code reviews, and automated validation. Linux and Networking: Strong Linux systems administration and troubleshooting skills, combined with a solid understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, routing, firewalls, and load balancing. Diagnostics and Problem-Solving: Ability to investigate complex infrastructure issues using logs, metrics, traces, packet-level analysis, and structured debugging techniques. Production Engineering: Experience designing secure, resilient, and scalable infrastructure for production workloads. Advanced Experience Preferred: Eight or more years of professional engineering experience and a background operating GKE clusters in large-scale, multi-cluster, or multi-region environments. Advanced GCP and Kubernetes Skills Preferred: Experience with GKE networking, Workload Identity, Gateway API, Ingress controllers, cluster autoscaling, multi-project GCP architectures, centralized networking, IAM governance, and infrastructure guardrails. Monitoring and Security Preferred: Experience operating Prometheus, Grafana, and centralized logging infrastructure, along with implementing Kubernetes RBAC, network policies, workload identity, and secrets management. Scale and Reliability Preferred: Experience executing major infrastructure migrations with minimal disruption, optimizing cloud costs, modeling capacity, and supporting highly available SaaS platforms or distributed systems at significant production scale. Technical Leadership Preferred: Demonstrated ability to mentor senior engineers and improve infrastructure architecture, engineering practices, reliability, and maintainability. Work Authorization: Must be authorized to work for any employer in the United States. Current or future employment visa sponsorship is not available. Benefits Annual Salary: US hiring range of $150,000–$175,000, with placement depending on geographic location, professional experience, education, and skill level. Comprehensive Healthcare: Medical, dental, and vision coverage. Retirement Benefits: 401(k) plan. Wellness: Wellness benefits and additional employee support programs. Remote Work: Remote opportunity within the United States. Meaningful Technical Impact: Direct ownership of cloud infrastructure and the opportunity to shape GCP and Kubernetes architecture for a cloud-native SaaS platform. Collaborative Environment: Work alongside experienced professionals across Infrastructure, Platform Engineering, SRE, and Security. Professional Growth: Opportunities to tackle challenging engineering problems, influence technical decisions, mentor colleagues, and improve systems as the platform scales. Inclusive Workplace: Equal opportunity employment with a commitment to a collaborative and inclusive culture. How Jobgether Works We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Title: GCP/GKE DevOps Lead Location: Jersey City, New Jersey Minimum Experience: 08 Years Kubernetes and Compute Platform Design, operate, and upgrade GKE clusters in both Autopilot and Standard modes, including custom compute classes, node pool configuration, and capacity management. Manage multi-cluster architecture using GKE Fleet, Multi-Cluster Ingress, and Multi-Cluster Gateway. Implement workload autoscaling using KEDA and the Custom Metrics Adapter for event-driven and metrics-based scaling. Manage cluster add-ons and operational tooling, including the Secrets Store CSI Driver, Reloader, ConfigMaps, and ingress configuration. Deploy and operate serverless workloads on Cloud Run and Cloud Functions, and provision Compute Engine instances where required. Infrastructure as Code Own and maintain a modular Terraform codebase managed through Terraform Cloud, with environment-specific configurations across development, QA, staging, and production. Build and maintain reusable Terraform modules and enforce consistent standards, reviews, and plan/apply workflows. Manage Harness configuration as code through Terraform, including service, environment, and pipeline onboarding. Networking, Edge, and Certificate Management Manage global and static IP addressing, load balancing, and ingress for internet-facing and internal services. Configure and maintain edge security using Google Cloud Armor and Imperva WAF. Manage SSL/TLS certificates and automated certificate expiry monitoring to prevent service disruption. Security and Identity Define and enforce least-privilege IAM policies, service accounts, and Workload Identity through Terraform. Enforce supply-chain security using Binary Authorization on production clusters. Manage secrets through Google Secret Manager and the Secrets Store CSI Driver, and manage encryption keys in Cloud KMS, including key rotation alerting. Support runtime application security tooling (e.g., Oligo) and contribute to DevSecOps practices across the delivery lifecycle. Data and Messaging Services Provision and manage Cloud SQL (PostgreSQL) instances, including database grants, certificates, backups, and performance. Manage Memorystore, Firestore, and Cloud Storage resources, including access controls and lifecycle policies. Support event-driven architectures built on Pub/Sub. CI/CD and Source Control Build, maintain, and optimise Harness CI/CD pipelines for GKE, Cloud Run, and Cloud Functions deployments, including progressive delivery and automated rollback. Manage GitHub repositories, branching strategies, pull request workflows, and automated code review integrations. Create and optimise Docker images for security, size, and build performance, and manage images in Artifact Registry. Track and deliver work through Jira using agile practices. Observability, Reliability, and Cost Configure and maintain monitoring and alerting through Splunk detectors and Google Cloud Monitoring, integrated with Microsoft Teams notifications. Define SLOs/SLIs, lead incident response, and conduct blameless post-incident reviews. Drive cost optimisation through workload scheduling, scale-to-zero environments, rightsizing, and resource governance. Automation and AI-Enabled Engineering Develop automation and tooling using Python, Bash. Use AI-assisted development tools (Gemini, Claude, GitHub Copilot) to accelerate Terraform authoring, pipeline development, troubleshooting, and documentation. Identify, propose, and prototype AI agents that automate DevOps workflows, such as Terraform plan review, pipeline failure analysis, incident triage, certificate and key-expiry management, IAM access requests, and cost reporting. Promote responsible use of AI tools, ensuring outputs are reviewed and that sensitive data and credentials are protected.

Connsci is seeking an Azure Cloud Engineer to provide support for one of our federal customers. This individual will provide network and systems engineering and administration for multiple cloud-based environments in Microsoft Azure Government Cloud and Microsoft 365 (M365) in GCC High tenants. Responsibilities Troubleshoot, triage, escalate, and assist users with issues related to hybrid network infrastructure consisting of virtual machines (VMs), servers, endpoints, appliances, and services that may be connected and/or hosted in on-premises and remote locations by the agency and partner providers. Build, configure, deploy, secure, and administer cloud system resources, servers, and other multi-user devices to support virtual machines, storage, network, and other off-premises and cloud resources. Design scalable infrastructure for IT projects to meet specified business needs, including planning and scheduling deployments and incorporating cloud optimization to improve efficiency and save on costs. Devise and implement technical solutions to suit each situation; recommends the institution of processes and technologies necessary to meet changing office requirements and improve the quality and efficiency of work products. Assess traffic flow between internal and external networks to determine the necessary firewall rules and forward/reverse proxy exceptions to establish connections successfully. Create new automated jobs and scripts to streamline routine system tasks, including Command Line interfaces, PowerShell/Bash, or experience with CI/CD pipelines to automate the deployment of code. Monitor consumption, identify inefficiencies in cloud-based systems and resources, and suggest improvements to reduce costs and maximize taxpayer value. This may include request fulfillment improvement, application performance, and systems security posture. Administer and manage cloud-based applications and services such as Microsoft 365 and Azure Virtual Desktop (AVD). Perform routine system maintenance, including operating system upgrades, resizing VM resources, and security patching on Azure VMs and servers. Assist system owners in other divisions and offices in triaging issues and escalating tickets as required. Develop, maintain, and debug current custom IT solutions and program code when needed. Produce and maintain technical documentation regarding network and system design and governance. Creating and modifying domain objects, groups, and policies in Active Directory and Group Policy Management. Perform analysis on emerging application enhancements as a benefit to the business models. Provide input and best practice recommendations to current and future policies and procedures as needed or requested. Conduct internal technical reviews to improve performance, support, and technical enhancements. Work assigned service tickets and tasks IAW the Acceptable Quality Level (AQL). Develop standard operating procedures, knowledge base articles, technical bulletins, and other documents supporting the IT Division. Provide required certifications and resume for review and validation. Demonstrate leadership and can work without supervision. Basic Qualifications At least 3 years of experience as a cloud engineer supporting cloud infrastructure and applications to include experience working with Active Directory and Microsoft Azure Current CompTIA Security+ or Microsoft Certified Azure Administrator certification Minimum Bachelor of Science degree in Information Technology, Computer Science, Engineering, or a related field from a US Department of Education accredited University. Extensive and relevant experience may be considered as a substitute for education. Preferred Skillsets/Knowledge Areas PowerShell/Bash DNS DHCP Group Policy Management DevOps methodology and tools such as Azure DevOps, Git, Docker, Kubernetes, etc. Infrastructure as Code (IaC), including provisioning template development and maintenance. Server/Desktop Virtualization Network-Attached Storage (NAS) protocols Linux OS Single Sign-On (SSO) authentication Location: This role requires onsite presence during an initial ramp up period (usually 60 days) and then allows for primarily remote work. However, occasional onsite attendance may still be required for meetings, coordination activities, and other Government-directed work. The office location is in Washington, DC and is Metro and rail accessible. About About Connsci At Connsci, our mission is to be a trusted strategic partner for our clients, helping them achieve impactful results by addressing mission-critical issues that affect their bottom line. We recognize the importance of customizing our services to best fit our clients' needs and understanding what it takes to propel their organizations forward. By implementing industry-leading best practices and leveraging our multifaceted experience and expertise, we deliver services that are essential for any organization aiming to reach its goals. What You Can Expect: Collaboration and Innovation: Work in an environment where collaboration and innovation are key. You'll have the opportunity to contribute to projects that make a real difference for our clients. Professional Growth: Be part of a team that values professional development. We offer opportunities for growth and advancement, allowing you to enhance your skills and career. Impactful Work: Engage in meaningful work that addresses mission-critical issues and supports organizations in achieving their goals. By joining Connsci, you'll become part of a dedicated team that is committed to delivering strategic, impactful solutions tailored to our clients' unique needs, enabling them to achieve their goals with confidence and efficiency. If you're passionate about cybersecurity and IT services, and eager to contribute to a dynamic team, we encourage you to explore opportunities with us. At this time, Connsci will not sponsor a new applicant for employment authorization for this position. Connsci is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Connsci makes hiring decisions based solely on qualifications, merit, and business needs at the time. Salary: $105000.00 - $145000 per year

Location/Address: 100% On-site in San Diego, CA Travel & Passport: 20%, CONUS and OCONUS Position Description We are urgently seeking an experienced Cloud Engineer III to design, build, integrate, and sustain secure cloud infrastructure and application runtime environments supporting mission-critical systems. This role will work across cloud compute, storage, containerization, Kubernetes orchestration, networking, monitoring, and security to provide reliable and scalable platforms for operational applications. The candidate will collaborate with software, platform, network, cybersecurity, and systems engineering teams to integrate commercial, government, and proprietary software into cohesive cloud-based environments. The role requires strong cloud and Linux fundamentals, hands-on troubleshooting capabilities, and the ability to solve complex infrastructure challenges while contributing to the continued evolution of scalable, automated, and secure cloud architectures. Incorporated in 2002, The Marlin Alliance is a digital transformation company dedicated to ensuring our clients compete and win in tomorrow's digital world. We specialize in creating technical solutions that allow for seamless execution of automated business processes and the generation of governed, machine-consumable data. From strategic planning to advanced analytics and cybersecurity, our team provides cutting-edge, cross-disciplinary solutions. We are seeking motivated professionals who share our agile, solution-oriented mindset and are ready to deliver the real, practical results relied upon by our clients. Duties & Responsibilities Design, deploy, configure, and sustain production cloud infrastructure supporting compute, storage, networking, containerized applications, and mission-critical workloads. Manage cloud compute and storage resources, including EC2 instances and block, file, and object storage, to maintain system availability, data persistence, performance, reliability, and efficient resource utilization. Deploy, administer, troubleshoot, and optimize containerized applications and microservices across Kubernetes environments, including container runtime, workload scheduling, service discovery, networking, ingress, and application availability. Implement and optimize dynamic resource management and scaling strategies across cloud and Kubernetes environments using workload demand, performance requirements, operational needs, and infrastructure cost considerations. Collaborate with engineering teams to design and implement application orchestration and runtime environments that integrate decoupled services, commercial products, Government Off-the-Shelf (GOTS) software, and proprietary applications into cohesive application workflows. Implement and maintain monitoring, logging, metrics, alerting, and health telemetry across cloud infrastructure, compute resources, containers, applications, and storage to support proactive system management and rapid troubleshooting. Configure and maintain cloud networking infrastructure, including VPCs, subnets, security groups, route tables, NACLs, load balancers, and supporting network services required for secure application connectivity. Partner with cybersecurity and engineering teams to implement operating system hardening, least-privilege access, IAM controls, secure network configurations, data protection requirements, and applicable security and compliance baselines. Automate infrastructure provisioning, configuration, deployment, maintenance, and operational tasks using Infrastructure as Code, scripting, CI/CD, and other automation technologies where appropriate. Provide technical guidance and troubleshooting support across cloud, Linux, Kubernetes, application, network, storage, and security environments while documenting architectures, configurations, procedures, and recommended solutions. Required Knowledge, Skills, Abilities, Education And Experience Strong experience in cloud engineering, infrastructure engineering, platform engineering, systems administration, DevOps, or related technical disciplines. Hands-on experience deploying, configuring, administering, troubleshooting, and sustaining cloud-based compute, storage, networking, and application infrastructure. Experience administering Linux-based systems and troubleshooting operating system, application, resource utilization, connectivity, and infrastructure performance issues. Experience deploying and supporting containerized applications using Docker, containerd, Kubernetes, or similar container and orchestration technologies. Understanding of Kubernetes architecture and operations, including workloads, Pods, Services, networking, ingress, resource management, scaling, and application deployment. Experience with cloud networking concepts, including virtual networks, subnets, routing, security groups, access controls, load balancing, and secure connectivity. Experience implementing or supporting monitoring, logging, metrics, alerting, and observability capabilities for infrastructure and application environments. Understanding of cloud security, IAM, least-privilege access, system hardening, data protection, network security, and secure configuration practices. Strong troubleshooting and analytical skills with the ability to diagnose complex issues spanning cloud infrastructure, Linux systems, containers, applications, storage, networking, and security. Strong written and verbal communication skills with the ability to collaborate with software, infrastructure, platform, networking, cybersecurity, program, and operational stakeholders. Preferred Skills And Experience Hands-on experience with AWS services including EC2, EBS, EFS, S3, VPCs, subnets, Security Groups, route tables, NACLs, IAM, Auto Scaling Groups, ALB/NLB, CloudWatch, and related infrastructure services. Experience administering AWS EKS or self-managed Kubernetes clusters and supporting containerized microservices in production environments. Experience implementing Kubernetes scaling and resource management using Horizontal Pod Autoscalers, Karpenter, Cluster Autoscaler, resource requests and limits, quotas, or similar capabilities. Experience with monitoring and observability technologies such as Amazon CloudWatch, Prometheus, Grafana, Datadog, OpenTelemetry, or similar platforms. Experience with Infrastructure as Code technologies such as Terraform, AWS CloudFormation, OpenTofu, or similar declarative provisioning tools. Experience integrating cloud and container deployments with CI/CD or GitOps technologies such as GitLab CI/CD, GitHub Actions, Jenkins, Argo CD, Flux, or similar platforms. Experience using Python, Bash, Go, or similar languages to automate infrastructure provisioning, administration, maintenance, monitoring, and health checks. Experience integrating GOTS, Commercial Off-the-Shelf (COTS), third-party, legacy, or proprietary software into modern cloud and containerized environments. Familiarity with AMI management, CIS Benchmarks, STIGs, vulnerability remediation, encryption, secrets management, and other security practices applicable to government cloud environments. Experience supporting distributed, hybrid cloud, or other complex application environments. Experience supporting government, defense, classified, or other security- and compliance-driven cloud environments. Education And Certification Requirements Bachelor's Degree or Equivalent Experience Current Security+ Certificate Citizenship And Clearance Requirements U.S. Citizenship required No dual citizenship TS/SCI Eligible, security clearance required Work Environment / Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Typical office environment with no unusual hazards. The noise level in the work environment is usually moderate. Constant sitting while using the computer terminal. Constant use of sight abilities while reviewing documents. Constant use of speech/hearing abilities for communication. Occasional reaching, stooping, kneeling, or crouching may be required. Occasional lifting, up to 20 pounds. A constant state of mental alertness. Frequent work under deadlines. Job Classification Salary Range: $120,000–$200,000 Disclaimer This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship. An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.