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Designs, automates, and maintains DevOps and DevSecOps tools, processes, and CI/CD pipelines across cloud environments. Responsibilities include automating builds, testing, monitoring, and releases; troubleshooting pipeline failures; developing Terraform infrastructure and shell scripts; and collaborating with Agile software teams throughout the development lifecycle. The role also supports cloud-native solutions and continuous automation across technical stacks.

Manage, administer, support, and enhance AWS cloud environments; resolve complex issues; develop cloud solutions; and implement DevOps, container orchestration, and infrastructure-as-code practices. The role involves working with Kubernetes, Docker, Terraform or CloudFormation, and automation tools. Responsibilities include mentoring team members and collaborating on cloud and DevOps design and technical problems. A Top Secret clearance and ability to obtain DoD 8570 certification are required.

Develop and manage cloud infrastructure and DevOps processes for client missions. Automate builds, testing, monitoring, and releases across environments; troubleshoot CI/CD pipeline issues; provision virtual machines, networks, storage, and servers; and develop enterprise cloud-native solutions. Collaborate with cloud architects, engineers, and cross-functional teams while supporting modern IT infrastructure and pursuing DevOps or DevSecOps maturity.

Conduct statistical analyses on large structured and unstructured datasets; develop algorithms, visualizations, plots, and dashboards; and lead data science projects from scoping through delivery. Translate strategic questions into analytical solutions, communicate findings to technical teams and senior DoD leaders, respond to ad hoc requests, mentor junior scientists, and establish reproducible analysis practices. The role supports strategic decision-making, risk assessment, and campaign planning for Department of Defense clients.

Lead a software engineering team in designing, developing, testing, and deploying end-to-end solutions. Analyze architectures and operating environments, implement system improvements, automate workflows, gather client requirements, mentor team members, and apply Agile methods. Develop production-ready applications using Python and modern frameworks, tools, containerization, and CI/CD practices while supporting automated testing and maintenance.

Leads a software engineering team developing end-to-end, production-ready systems in an Agile environment. Designs and implements software using Python, APIs, analytics, infrastructure, open-source frameworks, and modern architectural approaches. Analyzes existing and future system requirements, improves workflows through automation, supports testing and maintenance, mentors team members, and collaborates with clients and cross-functional stakeholders.

The AWS Edge Engineer will design and deliver secure edge computing solutions, integrating AI models, and managing deployments in tactical environments. Responsibilities include optimizing AI/ML models, utilizing containerization, and working within cross-functional teams to solve complex challenges.

Provides second-tier technical support for critical client computer systems, troubleshooting hardware, software, web applications, and user issues. Administers accounts, documents procedures, uses ITSM tools, and collaborates with network, software, and application teams to restore services and resolve root causes. Mentors team members, escalates complex problems, and maintains strong customer service and technical expertise.

Develop and maintain embedded and containerized software supporting mission-critical systems and hardware platforms. Design, test, optimize, reverse engineer, and deploy software using cloud technologies, LLMs, automation, and machine learning pipelines. Acquire client requirements, resolve workflow issues, troubleshoot operational problems, and collaborate with cybersecurity specialists to create secure solutions. The role requires an active TS/SCI clearance and possible polygraph examination.

Design and implement cloud-native full‑stack features: front-end interfaces and back-end microservices, build and integrate APIs, containerize and orchestrate services, deploy to AWS/Azure with IaC, apply DevSecOps and CI/CD, integrate analytic/ML pipelines, troubleshoot full‑stack issues, and participate in Agile delivery.