Top Python Jobs in Washington, DC

The Software Engineer will build and operate ML model infrastructure, integrating AI models in various environments, ensuring security, reliability, and performance throughout the deployment process.

Product Reliability Engineers ensure the health and stability of services by addressing outages, improving code, and enhancing product resilience through strategic investments.

As a Forward Deployed Software Engineer, you will solve critical problems in federal health and civilian agencies, managing high-stakes projects with a strong focus on engineering principles and collaboration with customers.

Interns build software solutions and influence critical industries using AI, working closely with customers to solve complex problems.

The DevOps Engineer will enhance internal compute infrastructure, collaborate on technology integration, manage critical systems, and research improvements.

The Site Reliability Engineer will maintain high-performance cloud and on-premises services, automate tasks, troubleshoot production issues, and collaborate with product teams.

Lead hands-on implementation of Celonis solutions for enterprise (federal) customers. Direct AI deployment agents to build data models, analyses, KPIs and operational solutions; validate AI outputs; run discovery and value workshops; ensure data connectivity; drive rollout, adoption, and handover; and develop domain-specific solution patterns to quantify business impact and sustainably scale process improvements.

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 custom applications, integrations, and automated workflows for Legal operations. Use data and LLMs to eliminate manual processes, drive projects from ideation to deployment, and partner with stakeholders to scale legal tooling across the company.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

The role involves designing and building AI-native systems for revenue teams at Upside, including developing applications, partnering with teams, managing the entire stack, and improving system reliability and performance.

Design, build, and maintain scalable CI/CD workflows and GitOps deployments using GitHub Actions, Argo CD, and Kubernetes. Improve developer experience, embed AI tooling into DevOps, enforce GitHub governance, lead incident response, and mentor engineers to enhance reliability and deployment safety.

Design, implement, and support scalable cloud networking and identity solutions in AWS. Lead cloud strategy, solve complex technical problems, write and maintain Infrastructure as Code, mentor peers, drive cross-team consensus, and track engineering metrics to improve performance, scaling, and cost-efficiency.

Technical lead for production database and storage systems: define and execute cloud DB/storage architecture and strategy focused on reliability, scalability, observability, and security. Support and operate large-scale self-managed and AWS-managed databases, lead incident response and RCA, run HA/DR drills, mentor engineers, participate in on-call rotation, and use AI code-generation tools to improve infrastructure delivery.

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.

As a Mission Software Engineer, you'll develop solutions for government customers by integrating software into existing workflows, requiring significant travel, collaboration, and technical expertise.

Designs, implements, and maintains secure, scalable GCP cloud infrastructure in a federal government environment. Develops infrastructure as code, automates CI/CD pipelines, monitors performance, troubleshoots issues, supports cloud optimization, and ensures compliance with FedRAMP, NIST, and other security standards. Collaborates with software engineers, security teams, and government stakeholders while documenting solutions and sharing knowledge.

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.

Manage and optimize hybrid Azure, AWS, and on-premises infrastructure across its full lifecycle. Responsibilities include cloud administration, automation with PowerShell, Python, and Terraform, AIOps monitoring, Docker and Kubernetes management, identity and security enforcement, disaster recovery, VMware and Windows Server administration, and CI/CD enablement. The role also collaborates with data science teams on machine learning and intelligent-agent infrastructure optimization while mentoring junior staff.

Designs, deploys, maintains, and troubleshoots VMware and Nutanix virtualization clusters supporting Air Force infrastructure. Provides senior technical support, performs migrations, manages patches and upgrades, monitors capacity and performance, maintains documentation, and supports compliance with DISA STIGs and NIST SP 800-171. Collaborates with cybersecurity, network, and application teams, participates in change-control activities, trains engineers, and supports an on-call rotation.

Develop and maintain Palantir MSS dashboards, applications, data pipelines, ontology, access controls, visualizations, alerts, and AI workflows. Integrate external data, optimize platform performance, support operators, document analytical methods, and collaborate with mission leaders to deliver operational decision-support solutions. The role requires onsite work in a SCIF and active U.S. government clearance.

Work on customer-facing, high-impact projects as an intern FDSE: design and implement data-driven solutions, wrangle large-scale data, build web apps, discuss architecture, and own end-to-end execution while collaborating with technical and non-technical stakeholders. May require travel and US government background checks.

Work directly with customers to design and build end-to-end data-driven solutions. Responsibilities include architecture, large-scale data wrangling, custom web app development, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate on high-impact projects.

Work onsite with customers to design and build data-driven solutions end-to-end. Responsibilities include architecture, data wrangling at scale, coding web apps, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate solutions.