Top Software Engineer Jobs in Washington DC,

Own customer outcomes from discovery through production deployment. Build decision systems using ontologies, reasoning, graph analytics, optimization, and machine learning over enterprise data. Write Python, SQL, and PyRel; debug unfamiliar systems; tune performance; harden deployments; document reusable solutions; and upstream platform improvements. Lead technical workshops and proofs of concept while partnering closely with customers, Product, and Engineering.

Develop and maintain Microsoft Power Platform solutions for CDC mission programs. Responsibilities include designing solution architectures and data models, building Power Apps and Power Automate workflows, configuring Dataverse, modernizing legacy applications, integrating APIs and Azure services, reviewing technical solutions, supporting Agile delivery and testing, troubleshooting defects, documenting deployments, and maintaining production systems. The role also ensures federal security, privacy, governance, and Section 508 accessibility compliance.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Own PayBox end to end as a founding-style staff engineer, taking the AI payments product from problem definition through production and iteration. Build payment, peer-to-peer transfer, AI platform, application, and ecosystem integrations. Improve onboarding and UX, make pragmatic architectural decisions, collaborate with Product, and use AI tools while maintaining strong independent technical judgment.

Designs and guides application architectures, creates technical specifications and models, and ensures solutions meet enterprise standards for scalability, performance, security, and maintainability. Provides technical direction and mentorship to development teams, collaborates with enterprise and solution architects on integrations, reviews application quality, and evaluates development technologies and frameworks. Requires strong software architecture, database design, integration, documentation, and communication skills.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Own end-to-end supplier integrations: design, implement, test, and monitor third-party APIs. Ship weekly, improve tooling and abstractions, ensure reliability, and mentor peers. Use AI-assisted workflows to speed integration development.

Own and advance Yahoo’s enterprise Node.js development environment, including runtimes, packages, container images, internal integrations, and CI/CD workflows. Manage runtime lifecycles, security updates, dependencies, releases, testing, automation, and troubleshooting. Support GitHub Enterprise and GitLab Enterprise while integrating AI programming tools to improve developer productivity. Partner across engineering and security teams, and document platform changes, migrations, and deprecations.

Build scalable simulation and planning systems for complex communications networks. Model hypothetical scenarios, allow users to vary configurations and assumptions, evaluate impacts, compare tradeoffs, identify risks, and integrate simulation capabilities into broader product workflows. The role involves full-stack engineering across design, development, testing, and operations, with emphasis on distributed systems, algorithms, network modeling, and computational reliability.

Develop production software for maritime route optimization, vessel performance and fuel-consumption modeling, voyage analysis, simulation, and route evaluation. Build and improve optimization algorithms, APIs, services, testing, and explainable recommendation systems using Rust and Python. Collaborate with engineers, product experts, and maritime specialists to translate complex physical and mathematical problems into maintainable software supporting U.S. Government and defense customers.