Top Python Jobs in Washington, DC

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and developer trust. Provide clear, opinionated feedback, distinguish response-quality levels, and help define standards for excellent interactions with tools such as OpenAI Codex, Claude Code, and Cursor. This contract role requires staff- or principal-level software engineering experience and familiarity with modern AI-assisted development workflows.

Owns daily operations, readiness, and growth of Hardware-in-the-Loop and engineering laboratories. Builds, configures, maintains, and troubleshoots racks, test benches, compute systems, networking, wiring, flight hardware, and simulation infrastructure. Manages assets, calibration, schedules, procurement, documentation, safety, cybersecurity, and configuration control. Supports software development, integration testing, customer demonstrations, and operational evaluations while coordinating technical lab needs across engineering and program teams.

Lead technical onboarding and enablement for contact center partners, architecting scalable Zendesk, Amazon Connect, and AWS solutions. Provide co-selling support, technical strategy, solution design, demonstrations, proof-of-concepts, training, documentation, governance, and mentorship. Collaborate with partners, sales, engineering, and vendors to drive successful implementations, security compliance, innovation, and adoption of AI, automation, and omnichannel contact center technologies.

Develops and delivers resilient full-stack applications and services for Vantage’s reinsurance business. Responsibilities include application design, coding, debugging, testing, architecture discussions, risk management, roadmap estimation, stakeholder consultation, and coordination across project teams. The role promotes software engineering standards, DevSecOps, CI/CD, agile practices, innovation, and mentoring while building solutions with JavaScript, React, Node.js, Python, cloud, serverless, and modern infrastructure technologies.

Design, optimize, and maintain secure, scalable multi-cloud infrastructure, primarily AWS. Automate deployments using infrastructure as code and CI/CD, manage containerized environments, improve reliability and performance, and integrate DevSecOps practices. Collaborate with engineering, security, and product teams, troubleshoot production issues, review architectures, mentor team members, and lead cloud capability improvements.

Supports network deployment, integration, testing, commissioning, and troubleshooting for mission-critical FAA air traffic systems. Coordinates site readiness, telecommunications circuits, hardware installation, field teams, change control, documentation, and stakeholder communications. Provides remote and on-site technical guidance during cutovers and resolves infrastructure issues across federal operational environments.

Designs and governs enterprise application architectures for federal modernization initiatives. Develops technical roadmaps, reference architectures, integration strategies, and architectural standards while enabling secure DevSecOps, cloud adoption, CI/CD, and legacy modernization. Collaborates with stakeholders, ISSOs, vendors, and engineering teams; ensures compliance with federal security requirements; troubleshoots complex application issues; mentors developers; maintains technical documentation; and contributes hands-on code, proofs of concept, and AI-assisted development practices.

Operate and deploy AI services for U.S. federal agencies, owning service reliability, performance, observability, and stability. Investigate outages, respond to alerts, resolve customer issues, reduce technical debt, and implement lasting fixes. Partner with product, research, infrastructure, legal, and government stakeholders to prototype solutions and improve systems. Participate in on-call rotations, including occasional weekends, and support resilient, high-uptime production environments.

Own the architecture, analysis, design, integration, testing, and flight validation of aircraft environmental control systems. Perform thermal and fluid-system sizing, aerothermal design, modeling, supplier management, test planning, instrumentation, and flight-test troubleshooting. Deliver flight-ready ECS hardware for a special access defense program while managing rapid design iterations and technical tradeoffs.

Designs, assesses, and optimizes AWS C2S and GovCloud architectures for U.S. Coast Guard intelligence environments. Leads cloud migrations, modernization, right-sizing, security alignment, cost optimization, and target-state architecture documentation. Partners with ISSOs, engineers, project managers, and government stakeholders on controls, monitoring, roadmaps, briefings, and implementation. The role requires onsite work in Washington, DC on a hybrid schedule and an active Top Secret clearance with SCI eligibility.

Administers and supports SAP portal systems, enterprise web applications, databases, integrations, and cloud environments for federal clients. Responsibilities include Control-M job scheduling, system monitoring, performance tuning, security and SSO integration, database administration, troubleshooting, change management, and production support across Windows and Linux. The role also develops and maintains web applications using Java and related technologies, supports SAP platforms and tools, collaborates with stakeholders, and participates in on-call and maintenance rotations.

Administer and engineer Dalet media-asset-management platforms across New York and Washington, DC. Develop PowerShell and Bash monitoring and remediation automation, troubleshoot live production workflows, manage Linux systems and MS-SQL data tasks, support migrations and platform upgrades, validate XML and metadata, and provide frontline, weekend, and on-call production support. Collaborate with editorial teams, vendors, and engineering groups while documenting incidents, root causes, scripts, and procedures.

Designs and operates secure, scalable cloud infrastructure for AI/ML workloads in classified, multi-enclave environments. Responsibilities include optimizing cloud compute, storage, and networking; automating infrastructure through Terraform and DevSecOps; integrating public clouds with on-premises hyperconverged and GPU systems; managing Kubernetes-based platforms; supporting high-availability mission-critical applications; and implementing secure data and model governance. The role also establishes development standards and leads technical initiatives across teams.

Designs, builds, and maintains secure, scalable enterprise frontend applications. Develops reusable Angular UI components, integrates REST APIs and backend services, optimizes performance and accessibility, and supports cross-platform compatibility. Leads technical initiatives, establishes frontend and enterprise development standards, mentors developers, contributes to DevSecOps and CI/CD practices, and collaborates across teams on cloud-native, containerized applications involving ETL, data ingestion, and AI-enabled services.

Leads full-stack architecture, modernization, secure development, and enterprise technology integration. Designs, develops, and optimizes scalable web applications across frontend and backend technologies while ensuring security, performance, interoperability, zero-trust alignment, and cross-enclave compatibility. Establishes development standards, leads technical initiatives, manages complex data ingestion and lineage, and applies cloud-native, DevSecOps, CI/CD, database, and integration expertise in a cleared government environment.

Own Anthropic’s ChromeOS platform end to end, including device standards, Google Admin and Chrome Enterprise policies, policy-as-code automation, zero-touch enrollment, international procurement, security controls, telemetry, lifecycle management, and vendor access models. Support Android Enterprise as a second platform, collaborate with IT, Security, and procurement teams, and create runbooks for vendor programs.

Designs, builds, and maintains secure, scalable enterprise frontend applications and reusable UI components. Translates requirements into intuitive, accessible, high-performance interfaces; integrates frontend systems with backend APIs and data services; supports ETL and cloud-native application environments; and applies DevSecOps, automated testing, CI/CD, and secure coding practices. The role also mentors developers, establishes frontend standards, optimizes processes, and collaborates across teams.

Designs and operates secure, scalable cloud infrastructure for AI/ML workloads in classified, multi-enclave environments. Builds hybrid cloud and on-premises architectures, automates infrastructure with IaC and DevSecOps, manages Kubernetes and OpenShift platforms, integrates GPU and hyperconverged systems, and optimizes cloud networking, storage, databases, monitoring, security, and cost. Supports high-availability distributed training and inference applications while establishing technical standards and governance across teams.

Leads full-stack architecture, application modernization, secure software development, and enterprise technology integration. Designs, develops, and optimizes scalable frontend and backend applications, APIs, databases, data pipelines, and ingestion systems. Establishes development standards, supports DevSecOps and CI/CD practices, addresses cross-enclave interoperability, and ensures secure, high-performing solutions aligned with enterprise architecture and zero-trust principles.

Leads enterprise software architecture, development, testing, modernization, and secure delivery. Establishes development standards and frameworks while building scalable applications across air-gapped, hybrid, and on-premises environments. Designs AI and GenAI solutions, data architectures, ETL pipelines, cross-domain integrations, and distributed systems using modern application technologies. Provides technical leadership for secure, interoperable, high-performing solutions involving AI orchestration, databases, containers, and enterprise infrastructure.

Leads enterprise software architecture, development, testing, modernization, and secure delivery across complex, air-gapped, hybrid, and on-premises environments. Establishes development standards and architectural frameworks while building scalable applications, AI and GenAI capabilities, data pipelines, cross-domain integrations, and distributed containerized systems. Provides technical leadership for zero-trust, interoperability, application security, and enterprise software engineering initiatives.

Own architecture and technical direction for mission-critical Rust services, including an AI/API gateway, policy engine, Kubernetes controller, and ingestion worker. Write production Rust code while supporting Kubernetes, Helm, Argo CD, AWS EKS, Terraform, and Python tooling. Use AI coding tools daily, support secure government deployments, and contribute to on-call, observability, security engineering, and agentic AI services.

Leads engineering teams supporting hybrid cloud architecture, automated data centers, multi-cloud environments, and Tier-3 infrastructure operations. Oversees DevSecOps adoption, Infrastructure as Code, automation, CI/CD, observability, security controls, and federal compliance with NIST, FISMA, and FedRAMP. Manages technical roadmaps, quality plans, service levels, stakeholder communications, hiring, mentoring, and operational reporting across mission-critical government environments.

Build and operate secure, production-grade infrastructure across Kubernetes, commercial and government clouds, edge appliances, classified networks, and air-gapped environments. Responsibilities include platform architecture, infrastructure coding, artifact pipelines, monitoring, incident response, security hardening, CVE remediation, STIG implementation, audit readiness, and DevSecOps improvement. Collaborate with Product, Engineering, GRC, and mission teams to support reliable deployments in IL5, IL6, and JWICS environments.

Develop and maintain custom applications, automation tools, database solutions, integrations, and low-code workflows using C#/.NET, Python, SQL, Oracle, and related technologies. Responsibilities include testing, quality control, data extraction, troubleshooting, documentation, requirements gathering, and stakeholder collaboration. The role also supports AI-enabled solutions, MCP integrations, proof-of-concept initiatives, and client-facing advisory projects.