Top Remote Python Jobs in Washington, DC

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Designs, implements, and troubleshoots large-scale platform deployment automations supporting DoD ABMS and JADC2 systems. The role integrates technologies into secure orchestrated solutions, develops installation and testing procedures, automates infrastructure and system management, maintains containerized PaaS environments, documents technical processes, and participates in Agile ceremonies. Responsibilities include DevSecOps, GitOps, infrastructure as code, Linux administration, virtualization, networking, and configuration management.

Develop scalable full-stack applications and services for millions of users, with a backend focus. Design APIs, event-driven systems, and database solutions; collaborate with product, UX, and engineering teams; promote automated testing, reliability, code quality, and incident management. Participate in on-call responsibilities, pair programming, technical mentoring, and evaluation of new technologies.

Designs and leads enterprise Cisco ThousandEyes deployments, including architecture assessments, agent rollouts, test and alert strategies, integrations, migrations, and client roadmap sessions. Serves as a Level 3+ escalation point for networking issues, develops automation using Python, APIs, and Terraform, supports presales and SOW scoping, mentors engineers, and advises strategic accounts on digital experience monitoring.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Build and scale developer platform capabilities, AI-powered coding and review tools, CI/CD systems, Kubernetes infrastructure, and self-service developer workflows. Improve reliability, security, observability, and delivery speed through automation, reusable templates, guardrails, documentation, and incident-response practices. Collaborate closely with platform teammates, contribute to roadmap decisions, and communicate clearly about progress, blockers, and technical tradeoffs.

Lead performance engineering for massive-scale HPC and AI workloads across InfiniBand-connected GPU clusters. Diagnose communication bottlenecks, analyze fabric behavior, tune RDMA and QoS, develop telemetry tooling, optimize topology-aware communication, benchmark distributed workloads, and collaborate with operations and hardware vendors on next-generation interconnects.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

Develops digital pre-distortion algorithms for radio products, optimizing nonlinear power amplifier performance, modeling accuracy, and bandwidth. Collaborates with hardware design teams on DFE, AFE, feedback paths, and DPD engine selection. Implements production-grade DPD software on radio hardware, conducts robustness testing, troubleshoots lifecycle issues, and contributes to hardware integration. Requires expertise in digital signal processing, nonlinear system modeling, RF design, wireless standards, FPGA or ASIC development, and Matlab, Python, and C++.

Designs, deploys, and maintains Azure cloud infrastructure, infrastructure-as-code, CI/CD pipelines, monitoring, observability, and production systems. Responsibilities include improving reliability, scalability, security, performance, and cost efficiency; troubleshooting complex incidents; supporting migrations and modernization; developing automation; and collaborating with development, QA, security, and business teams on software delivery and operational readiness.

Leads the Developer Platform and Experience engineering team supporting PingOne multi-tenant SaaS. Owns CI/CD pipelines, build systems, self-service developer tooling, platform modernization, operational reliability, and AI-enabled engineering automation. Provides architectural oversight, drives observability and incident response practices, and manages a globally distributed team of senior and staff engineers while improving developer productivity and platform adoption.

Own Telnyx’s global phone-number ordering pipeline, carrier integrations, regulatory automation, AI-powered order review, and Postgres data layer. Build reliable async Python services with retries, rollbacks, queues, SLA monitoring, document verification, auditability, and human escalation. Improve automation across dozens of vendors and 45+ countries while maintaining dashboards, analytics, and operational alerts across a large microservice estate.

Designs, deploys, and manages secure, scalable AWS infrastructure using Terraform, CloudFormation, containers, and Kubernetes. Builds CI/CD pipelines, implements cloud security controls, monitors performance and costs, troubleshoots infrastructure and deployment issues, and supports high availability and disaster recovery. Collaborates with development and operations teams to deliver reliable cloud solutions for a Department of Veterans Affairs project.

Designs and delivers Amazon Connect and Salesforce contact center solutions for enterprise customers. Leads discovery, technology assessments, ROI development, architecture, integrations, and cloud deployment discussions. Translates business requirements into contact center designs, oversees technical teams, manages stakeholder communications, and ensures projects meet quality, budget, and timeline goals. Provides customer training and documentation while guiding cloud infrastructure, automation, monitoring, security, and compliance practices.

As an AWS Solution Architect, you'll design and implement Amazon Connect solutions, improve customer processes, lead technical teams, and educate clients on AWS value.

Leads and develops a team of 4–6 software engineers building and operating React Native mobile applications, backend services, and administration platforms. Responsibilities include people management, architecture, code quality, technical debt reduction, delivery planning, cross-team collaboration, infrastructure and security coordination, engineering metrics, and rotating on-call support. The role remains technically engaged through design reviews, coding, troubleshooting, and architectural guidance.

Leads a team responsible for hardware-in-the-loop verification and validation of autonomous trucks. Owns HiL strategy, roadmap, test campaigns, bench development, requirements traceability, safety compliance, defect triage, and V&V reporting. Partners with product, systems, safety, tools, and external vendor teams. Guides testing aligned with ISO 26262 and ISO 21448, including fault handling, safety mechanisms, autonomous driving systems, and performance limitations.

Builds and operates AWS developer-platform infrastructure, CI/CD pipelines, Terraform-based service infrastructure, Kubernetes and serverless workloads, and self-service onboarding workflows. Responsibilities include configuring connectivity, secrets, observability, security controls, and environment promotion; troubleshooting delivery and production issues; supporting releases; managing infrastructure drift; and contributing to AI-augmented automation and tooling. The role partners with Engineering, Release, SRE, and Infrastructure teams while maintaining documentation and compliance evidence.

The Senior IT QA Engineer owns quality strategy and outcomes across complex technology initiatives. Responsibilities include designing automated testing solutions, integrating quality verification into CI/CD pipelines, analyzing quality and production data, developing dashboards, managing risk, leading root-cause analysis, and influencing product, engineering, architecture, security, operations, and business stakeholders. The role requires technical contributions across web, mobile, API, data, cloud, and distributed systems, plus mentoring engineers and advancing quality engineering practices.

Own system-level testing for Lance and LanceDB across correctness, reliability, scalability, performance, data integrity, fault recovery, upgrades, and compatibility. Build automated test frameworks, realistic workloads, fault-injection scenarios, performance and soak tests, and reproducible CI environments. Investigate failures using logs, metrics, traces, and source code, create minimal reproductions, and partner with engineers on fixes. Apply AI tools responsibly to accelerate test development, failure analysis, and debugging.

Lead the design, development, reliability, scalability, and operational excellence of Humana’s Next Best Action platform. Build platform services, automated testing, observability, resilience, and production-readiness capabilities across distributed systems. Write production code, manage and mentor engineers and contractors, establish quality standards, and coordinate with platform, data, decisioning, orchestration, and activation teams. Ensure high performance, traceability, fault tolerance, and compliance in a regulated healthcare environment.

Designs, automates, and improves the reliability, availability, and recoverability of on-premises, hybrid, and cloud technology platforms. Builds infrastructure-as-code, recovery workflows, self-healing systems, monitoring, and validation processes; defines resiliency objectives; conducts disaster recovery tests and chaos experiments; and facilitates architecture reviews and recovery exercises. Partners across engineering, infrastructure, cloud, application, and business teams while maintaining regulatory-ready documentation.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Build and operate an AI-native platform spanning Kubernetes, infrastructure as code, CI/CD, identity, networking, security, compliance, observability, and cost management. Develop reusable platform modules, delivery pipelines, policy gates, isolated client environments, and AI development tooling. Lead through hands-on engineering, architecture decisions, design reviews, migrations, documentation, and developer enablement while ensuring reliability, security, and measurable developer outcomes.

Build and own automated testing frameworks, CI/CD infrastructure, load and stress testing, and chaos engineering practices for a brokerage platform. Write primarily Go, integrate AI and LLM tooling into quality workflows, investigate application and Kubernetes failures, improve developer tooling, and mentor engineers on reliability and test coverage.