Top Remote Python Jobs in Washington, DC

Lead customer migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo. Plan replication, cutovers, network connectivity, and post-migration validation while debugging synchronization issues. Build repeatable automation, runbooks, and infrastructure validation using Terraform, Ansible, Kubernetes, and cloud platforms. Manage multiple customer engagements, advise stakeholders, communicate technical plans, and collaborate with Professional Services, Product, and Engineering teams.

Provide technical leadership for structural and/or thermal-fluids analysis of aerospace vehicles and propulsion systems. Perform FEA, fatigue, fracture, thermal-stress, CFD, and 1D fluid modeling; validate models against test data; support loads development, anomaly investigations, and nonconforming hardware disposition. Collaborate with design, systems, manufacturing, and test teams while improving analysis methods, mentoring engineers, and supporting safety-critical aerospace systems.

Maintains and secures enterprise end-user computing environments across Windows, macOS, Android, and iOS. Responsibilities include endpoint configuration, vulnerability patching, software packaging, virtual desktop administration, policy management, troubleshooting, documentation, hardware standards, automation, root cause analysis, vendor coordination, and support rotation participation.

Develop and operate Arista’s FedRAMP CloudVision SaaS platform at scale. Responsibilities include improving reliability, scalability, observability, autoscaling, disaster recovery, capacity planning, CI/CD, network architecture, cost optimization, and cloud application security. The role develops and manages Kubernetes-native services, distributed databases, and automation using technologies such as GCP, GKE, Go, Python, Ansible, Pulumi, and Bash. Participation in a FedRAMP on-call rotation is required.

Build and operate secure, scalable Azure infrastructure and AI platform capabilities using Terraform, MCP servers, LLMOps/GenAIOps, Docker, Kubernetes, and GitHub Actions. Own CI/CD, observability, reliability, security, compliance, incident response, and production support for platform and AI workloads. Partner on AI platform roadmap development, reusable engineering patterns, tooling adoption, documentation, and Agile delivery while participating in on-call rotations.

Design, build, operate, and maintain high-scale distributed telemetry systems for Grafana Mimir. Deliver features from concept through production, improve reliability and performance, review code and designs, manage releases, collaborate across the squad, contribute to open-source projects, and participate in follow-the-sun on-call rotations. The role involves cloud software development, microservices, observability, DevOps practices, and database query optimization.

Leads the architecture, development, and evolution of enterprise BI and analytics solutions for healthcare coding and clinical data products. Designs data, semantic, cloud, and distributed-system architectures; builds scalable data pipelines and embedded analytics; establishes engineering standards and governance; evaluates technologies and mentors development teams. The role requires extensive software engineering and architecture experience across AWS or Azure, analytics platforms, data modeling, ETL, security, reliability, and large-scale data processing.

Designs and operates enterprise observability, monitoring, telemetry, and automation solutions across infrastructure, applications, IoT platforms, and cloud environments. Responsibilities include managing Grafana and Instana ecosystems, dashboards, alerts, telemetry pipelines, incidents, RCA, databases, and platform health. Automates provisioning, monitoring deployment, remediation, and operational workflows using Python, PowerShell, Bash, Ansible, and Puppet. Supports 24x7 operations, major incidents, ITIL processes, service onboarding, documentation, and cross-functional reliability initiatives.

Own and improve Snowflake platform operations across development, test, and production environments. Responsibilities include security and access governance, reliability engineering, monitoring, incident response, recovery procedures, consumption and cost optimization, change management, automated testing, and controlled releases. The role partners with Data Engineering, Security, Identity, AWS, and commercial technology teams while documenting processes and building reusable automation.

Leads and develops a DevOps platform team responsible for AWS-based developer platforms, CI/CD pipelines, Terraform, EKS, service onboarding, connectivity, secrets, observability integration, and environment promotion. Drives automation, AI-assisted DevOps workflows, platform reliability, security controls, incident response, compliance readiness, and cross-functional delivery. The role combines direct people leadership with hands-on technical oversight of scalable, self-service engineering infrastructure.

Tests, validates, and troubleshoots next-generation cloud server hardware for performance, power, reliability, and quality. Develops test scripts, documents results, identifies defects, recommends improvements, and resolves hardware issues across engineering and manufacturing environments. Requires hands-on embedded systems debugging, Linux and scripting experience, and knowledge of server architecture, firmware, operating systems, networking, storage, and hardware acceleration technologies.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Develops, tests, enhances, and troubleshoots software and database products. Collaborates with senior developers, project managers, and stakeholders throughout design, development, deployment, and code review. Writes unit tests, fixes defects, prototypes features, documents technical decisions, and participates in Agile sprints. The role requires strong programming skills, a bachelor's degree, and the ability to obtain and maintain an active Secret clearance.

Own and accelerate ELSA’s B2B Dashboard during a three-month contract. Build production-ready full-stack features across Go, Python, and Vue.js; shape product requirements; make UI/UX decisions; improve APIs and user experiences; use AI development tools; and collaborate with product, design, business, and engineering stakeholders to deliver high-impact improvements autonomously.

The Staff Software Engineer will shape technical direction, build developer platforms, and design AI agents, enhancing developer productivity and collaboration across teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Lead development and reliability of real-time and batch payment-processing systems across authorization, clearing, settlement, disputes, and card-network integrations. Build scalable, secure, low-latency services using Java, Python, Kotlin, and AWS; improve network peering infrastructure, failover, and capacity. Own initiatives from planning through launch, participate in on-call rotations, reduce technical debt, and drive cross-functional engineering improvements and strategic planning.

Build and maintain backend computation engines for solar and electrical design. Develop simulation and optimization systems for PV and battery storage layouts, component selection, and electrical configuration. Translate physical models into reliable, scalable software, shape computation infrastructure, write tested code, mentor teammates, collaborate cross-functionally, and own services through production and on-call support.

As a Mojo Libraries Engineer, you'll design and implement libraries for Mojo, focusing on performance and integration with AI systems, collaborating with multiple teams to optimize algorithms and deliver high business impact.