Top Senior Python Jobs in Washington, DC

Own and evolve cloud-native and HPC infrastructure to maximize reliability, security, cost-efficiency, and developer experience. Build self-service platforms, integrate MLOps for GPU deployments, support SLURM-based scientific workloads, implement monitoring and CI/CD, adopt AI-powered developer and ops tooling, and participate in on-call to maintain production availability.

Own Quvia Grid’s optimization layer for government connectivity programs. Formulate bandwidth allocation, routing, scheduling, and capacity models; implement production solvers and heuristics; select and tune optimization methods; validate solution quality; diagnose deployed-system performance; document model behavior; and translate customer mission constraints into deployable software. The role requires extensive operations research experience, strong software engineering skills, customer engagement, and eligibility for a Secret clearance.

Designs and supports secure CI/CD pipelines, cloud-native infrastructure, containerized applications, Kafka and Elastic platforms, AWS environments, observability solutions, certificate lifecycle automation, and DoD security compliance. The role troubleshoots infrastructure and application issues, optimizes cloud costs, integrates security controls, monitors reliability, and collaborates with distributed Agile engineering teams. It also provides technical leadership, documentation, stakeholder communication, and operational risk management.

Leads a data engineering team supporting high-volume financial data ingest systems. Designs, develops, tests, deploys, and maintains AWS cloud solutions, databases, ETL processes, migration strategies, and data pipelines. Performs systems analysis, code reviews, quality checks, troubleshooting, and customer requirements gathering within an Agile environment. The role requires AWS architecture expertise, programming, XML transformation, database design, and migration from SQL Server to Redshift and RDS.

Own the navigation and positioning stack for head-worn and body-worn systems. Develop inertial, GNSS, calibration, sensor-fusion, and attitude-estimation solutions; integrate sensors across hardware and embedded software; and build testing, validation, and data-replay infrastructure. Collaborate with perception, firmware, mechanical, and manufacturing teams to deliver robust production navigation in challenging environments. Validate performance through laboratory and field testing against ground truth.

Develop full-stack, user-facing software for distributed autonomous maritime systems. Build real-time data platforms, visualization tools, command-and-control interfaces, external integrations, and cloud-to-embedded system features. Own major engineering projects, make technical architecture decisions, collaborate across hardware and autonomy teams, gather user feedback, mentor engineers, and support software operating in controlled or classified environments.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Own the architecture, governance, reliability, security, and delivery standards for the company’s Azure and Microsoft 365 platform. Lead and mentor DevOps engineers, establish infrastructure-as-code and CI/CD practices, implement identity and networking controls, automate compliance evidence, manage observability and incident processes, reduce technical debt, and serve as the senior escalation point for complex platform issues. The role also manages Microsoft and vendor relationships and communicates platform risks and decisions to executives and cross-functional stakeholders.

Deploy and operationalize Dynamo's AI assurance platform for public sector customers. Responsibilities include writing code, building integrations, creating prototypes and demos, supporting cloud, hybrid, on-premises, and air-gapped deployments, troubleshooting complex implementations, and translating customer mission needs into solution architectures. The role requires close collaboration with customer engineering, security, product, and government stakeholders, with regular on-site engagement and up to 50% travel.

The role involves leading complex deployments of Deepgram's Voice AI platform for federal customers, managing the full technical lifecycle from discovery to production. Responsibilities include technical delivery, customer integration, and contributing to product development based on field feedback.

As a Forward Deployed Infrastructure Engineer, you will build, operate, and maintain scalable services, develop software solutions, automate workflows, and provide support for critical government software systems.

Design, deploy, operate, and scale GPU/CPU infrastructure for classified data centers and AI clusters. Build automation for on-premise Kubernetes clusters and operating systems, manage databases, monitoring, distributed storage, and GPU-as-a-service platforms, and improve service reliability. Collaborate with AI engineers, lead lifecycle operations, mentor junior engineers, and guide technical excellence across the team.

Design, implement, and optimize cloud and edge software for mission-critical autonomous systems. Process heterogeneous sensor data for real-time state estimation and threat detection, integrate sensors and effectors, build LLM/AI-driven decision systems, and engineer scalable, reliable, fail-safe solutions for tactical and operational missions while collaborating with multidisciplinary teams.

Build and maintain scalable full-stack web applications using .NET, React, Next.js, and Azure. Responsibilities include feature delivery, API and microservices development, testing, code reviews, architecture, performance optimization, security, CI/CD support, cloud deployment, and production support. Senior engineers will mentor teammates and influence engineering standards, while early-career engineers receive mentorship and progressively greater ownership.

Design, build, and maintain secure, air-gapped cloud platform services and CI/CD pipelines for Okta Federal. Operate mission-critical infrastructure, monitor SLOs/SLIs, run incident response and POA&M remediation, and support Authority to Operate activities. Advocate SRE/DevOps practices across teams while working autonomously in secure facilities.

Lead enterprise architecture and Java engineering teams developing scalable on-premises and AWS cloud applications. Design baseline and target architectures, optimize Oracle and PostgreSQL data systems, oversee CI/CD pipelines, and guide Agile and DevOps execution. Evaluate architecture gaps and recommend improvements for stability, interoperability, portability, scalability, and security accreditation. Provide technical strategy, client consultation, data analysis, project staff supervision, and leadership for national security missions.

Leads architecture and technical direction for national security enterprise applications. Designs and deploys scalable AWS cloud and AI solutions, develops software, manages CI/CD pipelines, and guides DevSecOps teams using Agile methodologies. Responsibilities include systems integration, technical analysis, infrastructure as code, vulnerability mitigation, troubleshooting, and support for ATO and security accreditation processes. The role collaborates with customers, senior stakeholders, program managers, and cross-functional engineering teams while mentoring technical personnel.

Designs and implements automation, infrastructure improvements, monitoring, observability, and infrastructure-as-code solutions for mission-critical applications and systems. Manages SLOs and SLIs, supports incident response and root cause analysis, optimizes performance and reliability, and collaborates across software, operations, and security teams in cloud and hybrid-cloud environments.

Develop and maintain PHP, Python, C, and C++ applications supporting real-time data enrichment and sharing. Integrate external capabilities and workflows into internal operations, working across web front ends and back-end processing pipelines. Support OpenStack, private cloud, virtualization, Linux, and Windows environments. Collaborate with developers and research AI engine implementation within the cloud ecosystem.

Lead complex deployments of Deepgram's Voice AI platform to federal customers, guiding technical discovery, solution design, and integration builds while ensuring successful implementations.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

Own and develop production systems across backend services, data infrastructure, AI/LLM workflows, and React/TypeScript applications. Build LLM-powered agents and RAG systems on AWS Bedrock, develop scalable ML and data pipelines, and design PostgreSQL, OpenSearch, Kafka, Redis/Celery, and Kubernetes-based architectures. Partner with technical leadership on system design and roadmap decisions while translating customer and analyst needs into reliable software.

Deploys and operationalizes AI security platforms for public sector customers across cloud, hybrid, on-premises, edge, and air-gapped environments. Builds integrations, prototypes, demos, workflows, and deployment architectures; troubleshoots complex implementations; collaborates with customer, engineering, product, security, and mission teams; and translates field feedback into product improvements and implementation strategies.

Architect and develop high-performance Linux user-space daemons and middleware services for aerial and ground robots. Build robotics applications in C/C++, Rust, and Python; implement inter-process communication, device lifecycle features, sensor and actuator integration, ROS2 use cases, autonomous behaviors, and video pipelines. Design comprehensive unit and integration testing, CI pipelines, and technical documentation. Collaborate across controls, vision, hardware, firmware, and manufacturing teams while mentoring engineers and supporting products through launch and post-release.

Leads the development, management, and security of enterprise container platforms and cloud-native solutions. Builds and improves DevOps and DevSecOps automation for CI/CD pipelines, testing, monitoring, and releases across environments. Troubleshoots pipeline issues, develops Kubernetes-based deployment tools, advises clients on secure container adoption, informs platform strategy and design, ensures standards, and mentors team members.