Top Senior Python Jobs in Washington, DC

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

Develop and maintain software solutions for tax technology and client service delivery. Responsibilities include designing, coding, testing, troubleshooting, and reviewing application features using Python, C# .NET, and React Native. The role translates technical requirements into deliverables, improves functionality based on feedback and data, collaborates across teams, manages workstreams, and mentors junior engineers.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Develops and maintains on-premises DevOps infrastructure, CI/CD pipelines, automation, infrastructure-as-code, monitoring, virtualization, and deployment workflows. Supports secure application builds, releases, testing, disaster recovery, and Tier II/III troubleshooting while ensuring compliance with DISA STIGs and DoD cybersecurity requirements. Collaborates with systems, network, security, application, and government teams at the Washington Navy Yard.

Build and maintain enterprise DevOps and developer-experience infrastructure for Hivemind Solutions. Responsibilities include GitLab CI/CD pipelines, runner fleets, automation integrations, cloud-based simulation environments, Artifactory registries, secure container builds, Nix developer environments, and troubleshooting distributed development systems. The role requires strong scripting, Linux administration, cloud, security, and CI/CD expertise, along with eligibility for an active U.S. Secret clearance.

Leads aircraft structural and aerodynamic loads analysis across design and flight-test phases. Develops load envelopes, maneuver, gust, landing, ground, and dynamic load cases; performs aeroelastic stability assessments; validates models using simulation tools; supports structural sizing, instrumentation, and flight-data correlation; and maintains traceability across requirements, FEA models, and technical documentation. Collaborates with aero, structures, GNC, and test engineering teams on aircraft airworthiness and performance.

Supports Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Plans network deployments, develops implementation plans, tests solutions, troubleshoots hardware and software issues, manages JTAC cases, and delivers documentation, root-cause analyses, briefings, and training. The role requires advanced routing and switching expertise, customer-facing service delivery, network automation knowledge, U.S. citizenship, an active TS/SCI clearance with CI polygraph, and approximately 25% travel.

Provides senior network engineering support for Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Responsibilities include network deployment planning, implementation, testing, troubleshooting, customer support, JTAC case management, root cause analysis, documentation, and technical briefings. The role requires expertise in routing, switching, WAN transport, MPLS, VPNs, automation, and network operations, with remote work and customer-site travel.

Develop and validate advanced passive RF geolocation algorithms using TDOA, FDOA, interferometry, detection theory, and estimation methods. Build simulation environments, model real-world signal impairments, translate algorithms into real-time software, and support RF hardware integration, calibration, testing, and field validation. Collaborate with hardware, systems, production, and business development teams while documenting technical assumptions and performance results. The role is on-site in Hawthorne, California, or Washington, D.C., with travel up to 30%.

Develops advanced passive RF geolocation algorithms using TDOA, FDOA, interferometry, detection theory, and estimation methods. Responsibilities span mathematical formulation, simulation, software implementation, real-time acceleration, calibration, hardware requirements, integration, field validation, and technical documentation. The role requires collaboration with hardware, systems, production, and business development teams and periodic travel up to 30%.

Develop and deploy full-stack, geospatial software solutions for strategic defense and security customers. Own the full lifecycle from discovery through delivery, integrate cloud infrastructure and CI/CD pipelines, translate customer challenges into technical requirements, identify reusable platform patterns, and use AI tooling for rapid iteration. The role involves customer collaboration, mentoring, code reviews, and supporting critical commitments while working hybrid in Arlington, Virginia, and traveling 30–50% to regional customer sites.

Lead the design and operation of a secure, reliable enterprise AI platform. Responsibilities include cloud infrastructure, shared runtimes, model access, deployment pipelines, observability, security controls, incident response, disaster recovery, readiness validation, and operational documentation. The role partners with AI, data, and forward-deployed engineering teams while monitoring platform availability, performance, token usage, and costs.

Deploys, configures, integrates, and operates Databricks and enterprise cloud data infrastructure for HUD. Automates infrastructure through IaC, scripting, APIs, and CI/CD; configures security, identity, access, compute, storage, and Unity Catalog. Supports data pipelines and Databricks applications, troubleshoots platform and integration issues, documents procedures, collaborates with cloud, cybersecurity, DevSecOps, and application teams, and provides technical leadership.

Design and implement scalable, noise-aware quantum circuit simulators (state-vector, tensor-network, stabilizer) and error‑correction pipelines. Integrate hardware-specific noise models, mid-circuit measurement and decoders, and optimize simulation pipelines for HPC, GPUs, or distributed systems. Collaborate with hardware and algorithm teams, prototype new simulation methods, and support performance estimation and business development.

Designs and maintains GitLab CI/CD pipelines, Infrastructure as Code, and secure multi-cloud infrastructure across AWS and Azure. Automates cybersecurity compliance, continuous authorization, evidence collection, monitoring, and remediation workflows. Integrates security and observability tools, supports incident response, troubleshoots infrastructure and pipeline issues, and maintains technical documentation. Collaborates across development, security, architecture, and operations teams to implement DevSecOps, cloud modernization, resilience, and Agile delivery practices.

Designs, builds, operates, and troubleshoots enterprise integration platforms, middleware, APIs, data pipelines, and cloud integrations across on-premises, AWS, and Azure Government environments. Responsibilities include API management, message queues, event streaming, integration security, certificate and credential management, platform monitoring, testing, documentation, incident resolution, and FedRAMP/NIST-aligned controls. The role also supports middleware upgrades, Zero Trust implementation, ITSM processes, and integration architecture across federal enterprise systems.

Own enterprise Azure architecture for a federal agency, including landing zones, governance, networking, identity, security, migration, infrastructure as code, CI/CD, AKS operations, observability, and FinOps. Produce reference architectures and design documentation, lead architecture reviews, guide datacenter modernization, oversee engineers, present tradeoffs to senior leaders, and mentor technical staff. The hybrid role requires weekly onsite attendance in Washington, DC.

Develops C++ and Python simulation plugins, adapters, and interfaces for defense modeling and simulation environments. Leads migration from HMSSimBlocks to HMSF, maintains legacy compatibility, builds reusable CIGI integrations, supports DDS and network communications, and troubleshoots simulation-autonomy integration issues. The role also includes designing extensible architectures, writing automated tests, documenting software, and supporting integration teams.

Integrate and verify autonomy software on aircraft hardware across SIL, HIL, ground, and flight-test environments. Develop test plans, test cards, schedules, and automation; identify and resolve interface, timing, protocol, and hardware/software integration gaps. Coordinate with aircraft vendors, configure test benches, troubleshoot anomalies, assess flight readiness, and analyze post-flight data. The role requires Linux and Python proficiency, cross-functional coordination, periodic travel, and eligibility for a U.S. DoD SECRET clearance.

Leads integration, verification, and flight testing of autonomous aircraft systems across simulation, laboratory, ground, and flight environments. Develops test plans, coordinates readiness, defines objectives and metrics, manages technical and safety risks, supports aircraft and software integration, troubleshoots during flight operations, analyzes post-flight data, and drives corrective actions. Collaborates with engineering teams, OEMs, government customers, flight operations personnel, and test ranges to mature Hivemind autonomy capabilities.

Designs, configures, tests, and sustains complex networks for hardware-in-the-loop laboratories, simulations, and aerospace defense programs. Develops network automation, configuration-as-code, observability, and CI/CD tooling; integrates hardware, radios, sensors, flight computers, and simulators; executes performance and interoperability testing; troubleshoots distributed systems; maintains network documentation and baselines; and supports customer demonstrations and operational evaluations.

The Kong API Gateway Specialist will design, implement, and maintain Kong solutions to modernize and secure enterprise APIs, ensuring compliance with federal standards and optimizing API performance.

Provides senior-level engineering and operations support for enterprise applications, integration and middleware platforms, SaaS environments, APIs, releases, and application security. Responsibilities include resolving complex incidents, improving performance and reliability, administering SaaS platforms, engineering CI/CD and deployment automation, implementing security controls, managing APIs, monitoring systems, and supporting Agile delivery in a Federal environment. The role also serves as a technical escalation point and backup to the Applications & Integration Lead.

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.