Top Remote Python Jobs in Washington, DC

Build and maintain large-scale healthcare data platform software using HL7/FHIR, Apache Spark, Python, Scala, Databricks, and cloud technologies. Shape technical roadmaps, architecture, and implementation approaches; collaborate with product and business stakeholders; maintain CI/CD and staging environments; and mentor junior engineers. The role requires deep healthcare data expertise, technical leadership, and experience with modern software engineering and integration practices.

Leads a team responsible for simulation-based verification and validation of autonomous trucks. Defines V&V strategy, scenario coverage, test campaigns, toolchain requirements, and safety-case evidence aligned with automotive standards. Partners with product, systems, safety, engineering, tools teams, and vendors to establish release criteria, identify testing gaps, analyze results, and report risks and progress to leadership. The role also involves team development, simulation scenario management, and advancing autonomous vehicle validation practices.

Build and maintain full-stack software supporting patient-centered healthcare products. Contribute to architecture, technical standards, code reviews, design discussions, and reliable implementation. Collaborate with product managers, designers, and stakeholders, while advocating for privacy, security, and access to care. Mentor engineers, document knowledge, identify technical improvements, and help shape project direction. The role requires backend, database, cloud, and AI development-tool experience in a fully remote environment.

Leads a team of 4–6 senior network engineers while providing hands-on support for complex customer environments. Oversees daily operations, escalations, incident and major incident management, root cause analysis, preventive measures, performance reviews, on-call scheduling, and workload distribution. Troubleshoots and optimizes Cisco, Nexus, Meraki, Palo Alto, Check Point, F5, and SAN technologies, while supporting monitoring, automation, patching, firmware updates, and hardware lifecycle management.

Owns Site Reliability Engineering for a customer-facing SaaS platform across Azure and Azure Government. Responsibilities include monitoring and observability, incident response, root cause analysis, reliability improvements, automation, infrastructure as code, CI/CD, performance optimization, disaster recovery, and operational security. The engineer will define and track SLIs, SLOs, and error budgets, lead post-incident reviews, reduce operational toil, and collaborate with development teams on scalable, reliable platform operations.

Own the architecture, performance, reliability, and technical direction of high-traffic backend services and public APIs supporting search, browse, autocomplete, and recommendations. Lead distributed-systems design, mentor engineers, drive cross-team projects, participate in on-call and incident response, and balance scalability, latency, cost, and API compatibility.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Designs and maintains automated testing frameworks for AI-powered applications, APIs, backend services, and distributed systems. Defines test strategies, acceptance criteria, evaluation metrics, tolerances, and quality gates for deterministic and non-deterministic software. Builds regression, integration, API, and end-to-end coverage; evaluates LLMs, agents, prompts, and tool-calling workflows; integrates testing into CI/CD; analyzes failures, telemetry, and logs; reduces flaky tests; and partners with AI, engineering, and product teams on continuous quality practices.

Supports multi-cloud lab infrastructure across AWS, Azure, and Google Cloud using Terraform, Ansible, and GitHub Actions. Assists with infrastructure-as-code modules, CI/CD pipelines, security tool evaluations, agentic automation, client POC engagements, technical documentation, and findings reports under mentorship. The part-time remote internship provides hands-on exposure to cloud infrastructure, DevOps, cybersecurity tooling, and AI-driven evaluation environments.

Designs and implements spacecraft attitude determination and control, guidance, navigation, and control architectures in embedded C++. Performs mission-specific analysis, simulation, requirements definition, sensor-calibration and geolocation pipeline development, anomaly resolution, and software- and hardware-in-the-loop testing. The role supports on-orbit systems and collaborates across spacecraft engineering disciplines. Remote work is available from approved states, with export-control eligibility requirements.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Leads multidisciplinary design, analysis, and optimization for unmanned aircraft, missiles, interceptors, and munitions. Integrates aerodynamics, structures, propulsion, GNC, CAD, CFD, FEA, and trajectory models into automated optimization workflows. Owns MDAO tool architecture, validation, documentation, and development pipelines; conducts trade studies, correlates models with test data, supports proposals, presents design reviews, and mentors engineers. Requires experience taking MDAO from conceptual sizing through flight testing and fielded hardware.

Lead and grow the Database Platform team responsible for PostgreSQL, Neo4j, and future data stores supporting NodeZero at scale. Own data architecture, schema governance, reliability, performance, SLOs, migrations, on-call maturity, and multi-tenant data practices. Partner with engineering, security research, and product teams to define data contracts and prioritize the platform roadmap. Hire and mentor engineers while establishing strong operational and engineering standards.

Leads the design and implementation of secure, compliant AWS environments, including GovCloud, multi-account landing zones, networking, containers, infrastructure as code, CI/CD, and hybrid connectivity. Translates an existing GCP platform into AWS while maintaining security-control parity and supporting FedRAMP, NIST, CMMC, and ATO requirements. The role also troubleshoots complex infrastructure issues, develops technical documentation, supports continuous monitoring and remediation, and mentors engineers while collaborating with customers and cross-functional teams.

Build and maintain Python services, REST APIs, batch jobs, shared libraries, claims workflows, and internal applications. Develop maintainable, unit-tested code; write SQL for MySQL databases; participate in design, code review, deployment, and production support; and collaborate across departments. The role also involves handling sensitive healthcare data, using AI-assisted development tools responsibly, and working in a regulated pharmacy benefits domain.

Design and build a scalable, responsive UI; lead frontend architecture and optimization; apply UI/UX best practices; integrate with backend APIs; ensure high web performance and deploy user-facing features.

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

Build and evolve Polar’s finance and monetization platform for AI products. Own product development end-to-end across frontend and backend systems, create intuitive developer experiences, ship reliable software quickly, engage with merchants, and translate feedback into product improvements. The role requires strong technical foundations, product judgment, design sensibility, autonomy, engineering quality, and comfort working across the stack. Payments, billing, developer tools, open-source contributions, and side projects are valued.

Build and operate reliable platform systems supporting billing, payments, financial workflows, and usage-based software. Responsibilities include evolving cloud infrastructure, improving observability and incident response, creating developer tooling and automation, optimizing distributed backend systems and databases, and ensuring security, auditability, and financial data correctness. The role requires pragmatic technical judgment, product awareness, end-to-end ownership, and experience operating production systems at scale.

Designs, implements, and supports scalable AWS cloud architectures for government and CACI customers. Responsibilities include infrastructure as code, network design, security controls, AWS application migration and modernization, troubleshooting, stakeholder training, documentation, and reporting. The role collaborates with cross-functional teams to deliver secure, compliant cloud solutions and requires local commuting access to Washington Navy Yard or Norfolk Naval Shipyard, with occasional customer-site or office work.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Build and operate secure, scalable multi-cloud infrastructure across AWS, GCP, and networking platforms. Develop self-service tooling, infrastructure-as-code defaults, cloud guardrails, and standardized platform patterns. Lead cross-team infrastructure initiatives, technical investigations, and operational improvements while partnering with security, compute, routing, and other infrastructure teams.

Investigate voice AI campaign and platform issues by analyzing calls, transcripts, logs, configurations, and integration data. Reproduce and document bugs, triage root causes, perform pre-launch and ongoing conversation QA, and develop test plans, regression suites, quality metrics, and automation. Collaborate with engineering, deployment, clinical, and nursing teams to improve agent behavior, workflows, handoffs, scheduling, and outcome capture.