Top Python Jobs in Washington, DC

The Cloud Systems Architect will design and support cloud infrastructures including AWS and Azure, ensuring security and managing resources while collaborating with IT Security.

Lead and build the deployment engineering function to operate mission-critical software in accredited, air-gapped, and high-side environments. Own full deployment lifecycle across cloud, on-prem, and disconnected networks; manage Kubernetes/OpenShift and Linux infrastructure; build CI/CD and IaC workflows; integrate security tooling; diagnose and prevent production issues; produce ATO-related artifacts and maintain compliance.

Design, build, and operate secure, production infrastructure spanning cloud-native and air-gapped edge deployments. Own Kubernetes multi-cluster operations, hardened artifact pipelines, monitoring/incident response, and embed security and compliance (STIGs, CVE remediation, FedRAMP/JWICS) into platform delivery while collaborating across product, engineering, and GRC.

Build and maintain full‑stack web applications and Palantir Foundry integrations to connect production data, program governance, and analytics. Implement data pipelines, APIs, dashboards, and AI-assisted tooling; collaborate with program managers and cross-functional teams to deliver mission-critical operational software from concept to production.

Lead technical customer engagements to design, deploy, and modernize data orchestration platforms on Astro/Airflow. Run architecture reviews, build prototypes, diagnose and resolve production issues, ensure scalability, observability, and security, and produce reusable tools and reference architectures to improve delivery quality.

Support Anti-Tamper efforts by reviewing plans, developing databases, and collaborating with senior experts to enhance program protection in defense technologies.

The role involves designing, optimizing, and maintaining PostgreSQL and MySQL databases, ensuring high availability, reliability, and performance for mission-critical systems, while automating operational tasks and responding to incidents.

The Senior Forward Deployed Engineer will lead the development of innovative AI solutions for public sector clients, focusing on mission-critical projects while mentoring junior engineers and collaborating closely with users to ensure bespoke solutions meet operational needs.

Maintain and improve reliability, scalability, and performance of enterprise infrastructure across global sites. Implement automation and infrastructure-as-code, build monitoring and observability, perform RCA and incident response, support patching and RMF changes, integrate new capabilities, and maintain operational documentation and ITIL/ITSM processes to ensure mission-ready, high-availability environments.

Senior Linux Systems Engineer to administer, optimize, secure, and automate enterprise Linux systems across virtualization and cloud environments. Responsibilities include performance tuning, patch management, troubleshooting, automation scripting, documentation, and collaboration with application teams to ensure scalable, compliant, mission-critical infrastructure.

Provide Tier III database administration and O&M support for enterprise applications: monitor and tune SQL Server/MySQL, resolve critical incidents, maintain environments, manage backups/recovery, update documentation, support SDLC/Agile processes, and coordinate security and operational tasks.

Entry-level infrastructure engineer to learn and operate Northwood's cloud and edge stack. Execute IaC, CI/CD, observability, and networking tasks with senior guidance, participate in on-call rotations and incident reviews, write documentation and runbooks. Must obtain Top Secret clearance and meet ITAR-related eligibility requirements.

Operate and own components of the infrastructure stack (CI/CD, cloud/IaC, app platform, networking, observability, security). Build and maintain IaC (Terraform, Helm), automate toil, carry on-call and resolve incidents, run post-incident reviews, implement security/compliance controls with partners, and produce runbooks and design documentation. Collaborate across infra, product, and operations.

Senior individual contributor owning design, implementation, and operation of infrastructure systems. Drive technical direction, write RFCs, lead on-call escalations and post-incident reviews, mentor engineers, eliminate systemic toil, and partner with security, compliance, product, and ops to deliver scalable, deployable ground-station infrastructure.

Lead development and validation of advanced passive RF geolocation algorithms (TDOA, FDOA, interferometry). Build high-fidelity simulations, implement real-time software on DSP/GPU/FPGA, integrate with RF/SDR hardware, define RF/timing requirements, and support system calibration and field validation. Collaborate across engineering, production, and business teams; travel up to 30% and work on-site multiple days weekly.

Lead development of passive RF geolocation algorithms (TDOA, FDOA, interferometry) from first principles through simulation, real-time implementation, integration, calibration, and field validation. Build high-fidelity simulation environments, quantify performance under real-world impairments, and partner with hardware and systems teams to define RF/timing requirements and support field demonstrations.

Lead technical discovery with federal customers to define requirements and design secure, compliant cloud-native architectures. Build POCs/MVPs, produce architecture and deployment documentation, integrate third-party tools, guide implementations, and align sales, engineering, and product teams to deliver AI-driven knowledge management solutions for government environments.

Lead end-to-end integration and deployment of vehicle intelligence products for defense customers, spanning software engineering, OS configuration, system deployment, and hardware integration. Design scalable architectures, collaborate with product and engineering teams, and own technical outcomes in fast-changing, operational environments to ensure mission success.

Lead engineering role integrating Applied Intuition's vehicle intelligence products with defense and government platforms. Own end-to-end technical execution, system deployment, OS configuration, hardware integration, architecture, and customer-facing integration to ensure mission success.

Design and deliver integrated software solutions, configure and customize applications, lead small teams, create technical documentation, advise customers on architecture and implementation, support deployments and training, gather functional requirements, and collaborate with product and development teams to drive continuous improvement.

Lead design, development, enhancement, and maintenance of enterprise geospatial applications and APIs. Implement ArcGIS Enterprise solutions, web GIS apps, dashboards, integrations, and ensure compliance with federal IT, cybersecurity, and privacy requirements while guiding development teams and supporting testing, deployment, and O&M.

Design, develop, enhance, and maintain enterprise geospatial applications, web-based GIS interfaces, dashboards, workflows, and APIs; support ArcGIS Enterprise/Server, integrations, testing, deployment, performance tuning, documentation, cybersecurity, and user support within a federal environment.

Architect, build, and deploy enterprise-grade full stack applications with React front ends and scalable back ends. Use AI-assisted tools and agentic workflows to rapidly prototype and iterate, ensure secure public-facing production readiness, implement authentication/authorization and cloud-based architectures, and partner with stakeholders to evolve prototypes into production systems.

Provide expert Apache Airflow support to customers, troubleshoot and optimize managed Airflow deployments, work with cloud-native stacks (Kubernetes, containers, major cloud providers), own customer experience and SLAs, participate in on-call rotation and contribute to Airflow open-source and internal reliability projects.

Operate, monitor, and maintain Astronomer's managed Airflow platform and underlying cloud/Kubernetes infrastructure. Troubleshoot customer environments, participate in on-call rotation, build monitoring/automation, improve observability, and work directly with customers to meet SLAs and drive reliability.