Top Remote Python Jobs in Washington, DC

Designs and maintains large-scale production infrastructure across Linux, Windows, VMware, OpenStack, Docker, and Kubernetes environments. The role administers bare-metal servers and virtual machines, develops automation using Python, Go, and PowerShell, troubleshoots hardware and virtualization issues, and supports incident response through an on-call rotation. Responsibilities also include technical architecture, networking, configuration management, documentation, post-mortems, and applying AI tools to improve operational workflows.

Design and scale automated test frameworks for Akamai’s custom Linux kernel, hardware compatibility, performance, reliability, security, and OS imaging. Develop hardware validation suites, support kernel and virtualization upgrades, troubleshoot low-level system issues, and improve continuous integration and testing infrastructure across AI and compute platforms.

Develop and maintain Akamai’s custom Linux kernel and distribution for a globally distributed cloud platform. Responsibilities include adding performance, reliability, and security features; porting modifications to newer kernels; debugging production and test issues; improving build and continuous-testing automation; collaborating with platform, application, test, and hardware teams; and contributing work upstream to the open-source Linux community.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Build and maintain cloud-native applications and services for Akamai’s IaaS platform. Develop platform features from requirements through design, testing, and deployment; integrate Kubernetes and cloud-native technologies; collaborate with product owners, architects, developers, and test engineers in an Agile continuous-delivery environment. The role focuses on creating scalable, reliable, secure platforms that simplify product development and user experience.

Lead complex, cross-team software initiatives from design through rollout; architect backend services, improve reliability and observability, guide technical strategy, mentor engineers, and elevate engineering quality. The role emphasizes AI-assisted coding, agentic development workflows, automated guardrails, testing, incident response, and solving ambiguous technical problems across consumer applications and internal tools.

Participate in a mentored technical art project supporting AAA game development. Build and refine tools and scripts, troubleshoot pipelines and DCC-to-engine integration, optimize character assets, automate production workflows, document fixes, and collaborate with technical artists using Unreal Engine, Maya, and Python.

Leads the design, implementation, and optimization of enterprise infrastructure, cloud services, identity, endpoint management, and monitoring systems. Drives automation, security hardening, incident response, root-cause analysis, migrations, disaster recovery, and operational improvements. Mentors junior administrators, maintains technical documentation, manages vendor escalations, and supports cross-functional technology initiatives. Requires strong infrastructure, cloud, security, troubleshooting, scripting, observability, and IT service management expertise.

Owns the IT aspects of mergers and acquisitions, including technical due diligence, risk assessment, integration planning, migrations, cutovers, and systems retirement. The role administers identity, applications, endpoints, infrastructure, and collaboration platforms while building automation and an M&A playbook. It partners with Security, Legal, Corporate Development, People, Finance, and IT teams, and contributes to broader Corporate Systems projects when acquisition work is limited.

Design, build, test, deploy, and operate reusable enterprise integrations using Workato and modern APIs. Partner with engineering teams, define data flows and security models, create custom connectors and integration templates, and ensure production observability, testing, documentation, and support. Translate partner needs into product requirements, support sales proofs of concept, evaluate agent integration patterns, and use AI coding tools while validating security, correctness, and maintainability.

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Design, build, deploy, and maintain full-stack applications spanning frontend interfaces, backend services, APIs, databases, integrations, and cloud infrastructure. Own complex systems, improve reliability and technical debt, make architectural decisions, mentor engineers, and contribute to code reviews and engineering practices. Evaluate AI-assisted development opportunities and collaborate with product teams, stakeholders, and customers to deliver secure, maintainable software capabilities.

Designs and manages multi-cloud infrastructure across GCP, AWS, and Azure using Terraform and Kubernetes. Provides hands-on developer support, troubleshoots infrastructure and cluster issues, and maintains highly available systems. Responsibilities include networking, container orchestration, monitoring, logging, CI/CD automation, documentation, security collaboration, and on-call participation.

Operate and optimize WEKA data platform deployments for AI hyperscaler customers. Responsibilities include monitoring, upgrades, capacity management, tenant onboarding, storage and networking configuration, Kubernetes and GPU infrastructure support, performance benchmarking, incident escalation, runbook development, and automation using Python, Bash, and Ansible. The role requires strong Linux, storage, networking, cloud, and customer-facing infrastructure administration experience.

Develop and maintain GitLab CI/CD pipelines, containerized environments, and automated deployment systems for web applications. Configure Linux servers and AWS services including ECR, ECS, Fargate, RDS, IAM, and CloudWatch. Containerize legacy applications, implement testing and security scanning, troubleshoot pipeline and cloud issues, write supporting scripts and documentation, and train development teams on DevOps practices.

Leads software engineering teams responsible for designing, developing, and delivering high-quality software solutions. Manages hiring, performance, team development, architecture, code reviews, resource planning, engineering standards, and continuous improvement. Collaborates with product managers to align engineering work with product goals and contributes to project delivery, technical decisions, and an inclusive remote-first team culture supporting healthcare technology systems.

Designs, simulates, implements, and validates control systems for highly integrated digital coherent optical modules. Evaluates optical and optoelectronic device and system designs for reliability and manufacturability across data center, metro, and long-haul applications. The role also involves photonic device characterization, optical validation testing, software development, and collaboration on next-generation multi-terabit fiber transmission systems.

Build and maintain full-stack features using Ruby on Rails and Vue.js, from database design through user interfaces. Develop APIs, background jobs, automated tests, and PostgreSQL queries; review code, troubleshoot production issues, and improve CI/CD pipelines. Collaborate with product, design, QA, and client stakeholders to scope and ship iterative releases. The role also involves dependency upgrades, technical-debt reduction, and responsible use of AI coding assistants.

Designs and maintains CI/CD pipelines, infrastructure automation, deployment processes, monitoring, and operational tooling for Java-based enterprise applications. Integrates automated testing, security scanning, vulnerability management, containerization, and secure credential practices. Collaborates with development, cybersecurity, database, QA, systems administration, and customer teams to deliver reliable releases and support compliance, hardening, patching, and continuous monitoring in a controlled environment.

Administer and optimize on-premises Appian environments across development, test, staging, and production. Responsibilities include configuration, deployments, upgrades, patching, monitoring, troubleshooting, access control, performance management, incident resolution, and operational documentation. The role supports Java enterprise applications in Linux environments and collaborates with developers, infrastructure, cybersecurity, database, release management, vendors, and federal customers.

Designs and advances enterprise data and AI architectures, including cloud platforms, data warehouses, lakehouses, machine learning, generative AI, integrations, and governance. Leads architecture standards, technical evaluations, proofs of concept, design reviews, troubleshooting, and implementation with engineering teams. Establishes data lineage, metadata, model governance, security, privacy, and compliance frameworks while advising executives on roadmaps, risks, trade-offs, and technology investments.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

Lead architecture and hands-on development for cloud data optimization products and Stratusphere’s data platform. Diagnose and improve database, query, storage, networking, and workload performance across AWS, Azure, relational, analytical, search, and lakehouse systems. Build production services, integrations, testing, observability, and infrastructure automation while safely overseeing AI-assisted development. Partner with product teams, forward-deployed engineers, and customers to validate optimizations, document tradeoffs, and convert repeatable solutions into scalable platform capabilities.

Build and operate scalable AI platform infrastructure enabling secure, reliable access to foundation models and AI agents. Responsibilities include developing model gateways, provider integrations, routing, usage controls, observability, governance, and self-service platform capabilities. The role involves architecting distributed systems, improving reliability and security, collaborating across engineering and product teams, mentoring engineers, and establishing high-quality engineering practices.

Architect and deliver complex distributed systems using Azure cloud-native technologies, microservices, APIs, and event-driven patterns. Lead architecture reviews, reliability initiatives, performance optimization, incident response, and root-cause analysis. Drive adoption of AI-assisted development tools while maintaining security and code quality. Collaborate across engineering, DevOps, QA, and product teams, and mentor engineers on technical design, development practices, and AI-enabled workflows.