Top Python Jobs in Washington, DC

Develop and maintain Ruby on Rails applications, write Bash scripts, troubleshoot performance and runtime issues, tune databases (MySQL) and servers (Linux/Solaris), and work with web frameworks, source control, and Agile practices. Contribute to APIs and SOA components and perform system-level analysis and optimization.

Design and implement AWS infrastructure (VPC, S3, EBS, CloudWatch, CloudTrail, IAM, Redshift, HSM). Build hybrid and multi-cloud solutions, handle virtualization and VMware/vRealize, manage networking (DNS, IP, VPC peering), apply ITIL practices, and automate tasks with shell scripting and Python.

Develop and maintain Ruby and Rails applications, write Bash scripts, troubleshoot performance and multithreading issues, optimize SQL/MySQL queries, administer Unix/Linux/Solaris servers, and collaborate in Agile teams. Participate in API and SOA development and use source control (SVN/Git).

Design and implement AWS infrastructure (VPC, S3, EBS, CloudWatch/Trail, IAM, Redshift, HSM), architect hybrid cloud models, support virtualization and VMware (vRealize/vRO/vRA), manage networking (DNS, IP, VPC peering), follow ITIL processes, and automate tasks using shell scripting/Python.

As a Forward Deployed Engineer, you will collaborate with defense and intelligence agencies to deploy customized Mattermost solutions in secure environments, addressing complex operational challenges and integrating AI capabilities.

The Data Engineer designs and builds data pipelines for analytics, ensuring data quality, governance, and integration across systems, while collaborating with teams for effective delivery.

As a Forward Deployed Software Engineer, partner with high-impact public sector customers by developing full-stack applications and providing technical guidance throughout the project lifecycle.

As a Community Engineer, you will develop AI-powered tools and maintain community operations, engaging with diverse software engineers and delivering projects independently.

Develop, implement, and refine advanced digital signal processing algorithms to detect, classify, track, and geolocate RF emissions. Integrate and test signal processing software with RF/SDR hardware, support algorithm modeling, software integration, and field demonstrations, and collaborate with cross-functional teams.

Deploy, operate, and maintain an on-premises, air-gapped observability platform (TimescaleDB, OpenSearch, Prometheus, etc.). Lead network troubleshooting and packet-level diagnostics, manage Linux servers and containerized workloads, build CI/CD and IaC automation, support offline software delivery, maintain monitoring, alerts, runbooks, and participate in on-call rotations to ensure end-to-end data flow and system reliability.

Design and implement scalable, noise-aware quantum circuit simulators (state-vector, tensor-network, stabilizer) and error‑correction pipelines. Integrate hardware-specific noise models, mid-circuit measurement and decoders, and optimize simulation pipelines for HPC, GPUs, or distributed systems. Collaborate with hardware and algorithm teams, prototype new simulation methods, and support performance estimation and business development.

Design, maintain, and govern databases that support project controls (cost, schedule, EVM). Ensure availability, performance, security, and data quality. Integrate systems (Primavera, EcoSys, Power BI), build ETL pipelines and automation (SQL, Python), enable reporting, and support project controls teams with governance, monitoring, and user training.

Embed with a single U.S. Intelligence Community customer to architect, build, deploy, secure, and operate OCI-based cloud solutions. Lead Infrastructure-as-Code, automation, networking, identity, container platforms, observability, and production hardening. Own delivery outcomes and drive adoption, troubleshooting, and knowledge transfer while influencing Oracle product direction.

Lead technical customer engagements to design and operationalize Airflow/Astro data orchestration platforms. Run architecture reviews and design sessions, build prototypes, tune Airflow performance, oversee deployments and migrations, ensure scalability, observability, security, and create reusable tooling and reference architectures.

Design, implement, deploy, and operate large-scale distributed backend systems and Azure infrastructure for AI-driven insights. Apply generative AI/ML, build IaC and CI/CD pipelines, support live-site operations, and execute onboarding and operational tasks for GCC‑High/DoD environments while ensuring security, observability, and cross-team collaboration.

Perform advanced finite element analyses and research to assess structural vulnerability to extreme loads. Design mitigation solutions, investigate failure causes, and develop custom pre/post-processing tools. Collaborate with multidisciplinary teams on defense, infrastructure, and energy projects while expanding software development and mechanics expertise.

Lead technical development for People Systems: design architecture and engineering standards, contribute hands-on to custom apps, own Workday security role architecture and access governance (SOX-compliant), build Workday integrations (including AI/LLM layer), manage Azure environments and release readiness, partner with People Ops, and collaborate with IT Security, Audit, and Compliance.

Act as a liaison to onboard teams to cloud, enforce standards, and provide cost visibility. Design, automate, and operate core cloud infrastructure (compute, VMs, storage, virtualization, OS, Kubernetes) across Azure, GCP, and OCI using IaC (Terraform, Ansible) and scripting (PowerShell/Python). Partner with IAM, Network, Security, and Observability teams, maintain landing zones, tagging, backups, DR, runbooks, participate in on-call, and produce technical documentation.

Support onboarding and operation of multi-cloud infrastructure across Azure, GCP, and OCI. Collaborate with IAM, Network, Security, and Observability teams to apply standards, tagging, and cost monitoring. Contribute to Infrastructure as Code, automation, routine maintenance, patching, on-call rotation, and documentation under senior engineer guidance while learning cloud platform practices.

The Data/AI Cloud Engineer will implement AWS data services, build ETL pipelines, optimize databases, and support data-driven solutions collaborating with technical teams.

Design, deploy, and automate on‑prem and cloud infrastructure; manage Kubernetes and core services (databases, monitoring, storage); collaborate with software engineers to build scalable, operable systems; own service lifecycle from design to deployment and refinement.

Lead architecture and evolution of Kubernetes-based cloud and hybrid platforms. Design scalable, secure, multi-cluster platform capabilities, drive multi-year roadmaps, mentor senior engineers, lead incident response and platform transformations, and enable developer productivity across hundreds of teams.

As a Software Engineer, you will lead software development, improve systems, guide junior engineers, and design solutions in fast-paced environments using various technologies.

Design and build automated API onboarding, lifecycle management, deployment automation, and developer self-service. Implement REST APIs, infrastructure-as-code, CI/CD pipelines, and Git-based workflows. Integrate developer portals, API publishing/governance, and enterprise integration for a federal contractor environment.

Design and automate deployment pipelines for enterprise API Gateway implementations. Develop CI/CD/GitOps workflows, infrastructure and configuration automation, and support API deployments using tools like Terraform, Ansible, Jenkins, and container platforms.