Top Remote Python Jobs in Washington, DC

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

Build and operate services and tooling to automate network lifecycle, ensure safe network changes, develop scalable observability and telemetry, integrate network source-of-truth via APIs, and collaborate with network engineers and SREs to deliver production-grade automation and reliability.

Build and operate Nebius's network infrastructure: define SLIs/SLOs, improve site and inter-site reliability, lead incident response and postmortems, develop observability and alerting, automate change workflows, and collaborate with network and platform teams to embed operability.

Support and operate customer-facing iLottery and loyalty platforms with focus on Kubernetes (on-prem and cloud), GitOps-driven CI/CD (ArgoCD), container management, observability (Graylog, New Relic, ELK, Prometheus/Grafana), infrastructure automation (Ansible, Terraform), incident response, SLOs, capacity/resiliency planning, security remediation, documentation, and 24x7 on-call support.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Lead design, automation, and maintenance of highly available AWS infrastructure. Build CI/CD pipelines, manage container orchestration (EKS/Kubernetes), optimize cost and performance, enforce cloud security best practices (IAM, encryption, network controls), maintain infrastructure docs, and configure CDNs for content delivery.

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Design, administer, and optimize databases for cloud-native platforms. Support production incidents, evaluate and improve schemas and replication, drive DB architecture choices across AWS/GCP, implement IaC (Terraform) and GitOps, and build repeatable database designs for availability, reliability, and performance.

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.

Build end-to-end fullstack features for Threat Narrative and Email Details, implementing backend APIs, data models, and React/TypeScript UIs. Integrate GenAI/LLM systems to generate explainable narratives, own SLAs/SLOs and observability, participate in design/code reviews, and collaborate with product and cross-functional partners to improve detection explainability and customer-facing experiences.

Own and drive the architecture and roadmap of ClickUp's data platform. Build scalable, reliable data pipelines and AI/ML infrastructure using AWS serverless, Snowflake, dbt, and Terraform. Lead cross-team technical initiatives, optimize cloud costs, establish engineering standards (observability, testing, CI/CD), mentor senior engineers, and influence org-wide architecture decisions.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Leads the architecture, design, implementation, testing, and delivery of backend software for Slate’s digital customer experience. Owns code quality, system reliability, functional and integration testing, and technical decision-making. Collaborates with UX and product teams, leads code and design reviews, simplifies complex solutions, and mentors engineers while supporting career development.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

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.

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.

Lead test architect for end-to-end integration testing of a complex genomics product portfolio. Design contract-first validations (OpenAPI/Avro), build resilient API and event-driven test frameworks, embed LLM-driven test generation and log analysis into CI/CD, mentor SQEs, enforce staging guardrails, and run chaos/resiliency experiments across distributed microservices.

Designs, maintains, and modernizes production system integrations and customer-hosted Linux infrastructure. Responsibilities include data interfaces, monitoring, troubleshooting, releases, backups, disaster recovery, security, migrations, CI/CD adoption, documentation, customer coordination, and on-call support. The role works with legacy systems in healthcare environments under HIPAA requirements and uses Claude Code for scripting and code review. It requires strong Linux administration, Bash scripting, Git, build and release management, secure data transfer, and production systems experience.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Develop and enhance core banking applications through requirements analysis, coding, testing, debugging, documentation, deployment, and production support. Partner with business and technical stakeholders to deliver scalable solutions, improve processes, automate workflows, and enhance user experience. Participate in code reviews, technology roadmap discussions, continuous improvement initiatives, and an on-call rotation for troubleshooting critical production systems.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Leads operational support, incident management, troubleshooting, and reliability improvements for Snowflake and cloud-based data and AI platforms. Monitors ETL/ELT pipelines, performs root-cause analysis, develops automation, maintains runbooks, and advises clients on performance and operational strategy. Collaborates with engineering, analytics, architecture, and client teams while mentoring peers and supporting distributed 24/7 production environments.

Build and operate distributed, event-driven backend services for Stacklet’s cloud governance platform. Responsibilities include developing GraphQL APIs, policy execution pipelines, cloud asset and cost data stores, and scalable multi-cloud systems. The role requires designing for reliability, observability, retries, idempotency, and eventual consistency; managing PostgreSQL schemas and migrations; and using AWS serverless services, infrastructure as code, CI/CD, and automated testing. The engineer will also lead backend initiatives, mentor teammates, and contribute to architectural decisions.

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.