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This role involves designing, deploying, and maintaining a full-stack, containerized microservices architecture for a data discovery platform, collaborating with various engineering teams to implement DevOps best practices.

Design, develop, and optimize GPU clusters for enterprise AI. Collaborate on architecture, integrate with Linux, optimize performance, and maintain documentation.

Perform systems engineering tasks including defining operational requirements, system design, and coordinating with teams to ensure technical solutions meet requirements.

Provide systems administration for geographically distributed, air-gapped environments. Install and maintain applications, servers, desktops, storage, and network infrastructure; manage Active Directory, patching, certificates, vulnerability assessments, backups, virtualization, and security controls. Troubleshoot hardware and software issues, optimize performance, document complex environments, resolve outages, and support users, developers, testers, engineers, and external personnel. Occasional short-duration travel and the ability to lift up to 50 pounds are required.

Develop, maintain, and enhance complex software systems including high-performance algorithms, large-data processing, real-time systems, and database interfaces. Debug, test, and document software; integrate COTS/GOTS; design and implement new features and algorithms; support system-level design trade-offs and lead small development efforts as required.

Manage and maintain enterprise IT infrastructure; provide Tier I and Tier II support; configure and administer UNIX and Windows systems; install and maintain Cisco routers/switches; troubleshoot servers, storage, network and mobile devices; support dispatch systems; optimize operations and capacity planning; analyze and resolve complex integration issues and support system design and SOA interdependencies.

Design, build, and maintain automated test solutions for REST APIs and web UIs. Develop Python/Pytest frameworks, containerized test execution (Docker/Podman), integrate tests into Jenkins/GitLab CI, improve test reliability, perform T&E planning and analysis, write SQL validations, and lead migration from legacy Robot Framework implementations.

Senior DevOps-focused Software Engineer responsible for designing, building, testing, deploying, and supporting cloud-native software. Duties include automation and CI/CD, infrastructure-as-code, container orchestration, monitoring/alerting, debugging production issues, on-call support, and collaborating with infrastructure and QA teams to improve processes, documentation, and system reliability.