Top Remote Python Jobs in Washington, DC

Build and operate internal developer platforms, shared services, cloud infrastructure, delivery pipelines, and golden paths. Own reliability, security, observability, incident response, and cost optimization for production services. Shape platform architecture and engineering standards, advance AI-assisted software delivery, and mentor engineers across operating companies. The role is a hands-on principal individual contributor responsible for taking major platform capabilities from design through ongoing operation.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Designs, scales, and manages AWS WorkSpaces virtual desktop environments, including operating systems, compute, storage, directory and identity integrations, MFA, encryption, networking, monitoring, patching, troubleshooting, application delivery, and cost optimization. The role also requires securing streaming protocols, automating user provisioning, and supporting AWS infrastructure through scripting and core AWS services.

Build, operate, and improve cloud infrastructure for FedRAMP-authorized environments, including AWS GovCloud, Kubernetes, Terraform, Ansible, CI/CD, observability, and security automation. Investigate production incidents, remediate vulnerabilities, support compliance and audits, and improve reliability, scalability, and monitoring. Collaborate with engineering, security, compliance, and international teams while making independent architectural and operational decisions.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

As an AWS Developer, you will design and implement cloud solutions using AWS services, Java development, and web technologies while adhering to enterprise standards.

The Python Developer will enhance features for a web publishing platform, focusing on automated testing and AWS integration within a distributed team.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Develop and architect large-scale enterprise applications as part of an agile full-stack team. Design cloud-native architectures, microservices, APIs, data platforms, and responsive front-end applications. Analyze business and technical challenges, translate stakeholder needs into technical roadmaps, and support modernization initiatives. Collaborate on solution design, coding, reviews, testing, documentation, demonstrations, and production issue resolution while championing secure, scalable, maintainable engineering practices.

Develop scalable full-stack React applications and Java Spring Boot microservices within an Agile team. Responsibilities include architecture design, technical roadmaps, cloud-native and enterprise solution development, API and data platform design, modernization of Angular applications, root-cause analysis, stakeholder communication, documentation, code reviews, and delivery of reusable production features and frameworks.

Build and mature DevOps automation processes and infrastructure. Own the GitLab foundation, including repository standards, CI/CD pipelines, testing, releases, and deployment coordination. Maintain automation and orchestration platforms, define cloud, virtualized, and physical infrastructure requirements, and establish safe AI-assisted automation policies. Partner with security, risk, systems, NOC, and business teams on requirements and deployment. The role requires Python, AWS, Ansible, Terraform, Docker, network automation, and release management expertise.

Develop and integrate mission-critical software within the TAK ecosystem, including ATAK, WinTAK, MILTAK, and TAK Server. Build CoT data pipelines, low-latency APIs, sensor and intelligence data ingestion systems, CI/CD pipelines, containerized deployments, and edge-deployed applications. Troubleshoot tactical networks and integration issues while translating defense mission requirements into scalable solutions. The role requires significant TAK ecosystem experience, multiple programming languages, security clearance, and up to 25% travel.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Lead development and maintenance of character creation, rigging, animation, and simulation tools for game production. Collaborate with artists, engineers, studios, and research teams to prototype workflows, integrate game engines, optimize environments, and apply AI/ML to improve development efficiency. Build and customize internal tools, automate project environments, troubleshoot production issues, document systems, and support varied client pipelines. Participate in internal demonstrations and conferences, with required travel.

Build and maintain full-stack web applications, APIs, services, and internal tools supporting driver experiences, geospatial capabilities, cross-dock operations, and logistics platforms. Develop primarily with React, TypeScript, Go, and Ruby on Rails while contributing to scalable architecture, testing, reliability, performance, code reviews, and cross-functional delivery with Engineering, Product, and Operations teams.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.