Top Software Engineer Jobs in Washington DC,

Build backend APIs, Go services, data pipelines, and agent infrastructure for Vega, LaunchDarkly’s AI-powered observability platform. Design sandboxed agent execution, usage metering, dashboard creation capabilities, and enterprise data integrations. Own features from design through production, operate high-throughput systems, contribute to architecture and code quality, mentor teammates, collaborate cross-functionally, and participate in on-call rotations.

Lead senior engineering teams responsible for ZoomInfo’s operational and analytical data platforms. Set strategy, architecture, and roadmaps for Bigtable, BigQuery, ingestion pipelines, CDC systems, reliability, scalability, observability, and compliant customer data deletion. Manage technical leaders, develop engineering talent, prioritize competing initiatives, and partner with executives, product, legal, compliance, security, and downstream engineering teams to accelerate data onboarding and maintain platform integrity.

Audit backend services, APIs, databases, queues, and data flows for scalability and reliability issues. Identify bottlenecks, document findings, and implement production fixes including code refactoring, schema redesign, caching, indexing, query optimization, and service restructuring. Partner with engineers through pairing, reviews, and handoffs. Conduct performance and load testing while improving system latency, resilience, and infrastructure efficiency.

Design, build, and maintain backend services in TypeScript for millions of users; develop full‑stack features with React/React Native; participate in code reviews; provide technical leadership, mentorship, and architecture guidance; collaborate with PM and design; use monitoring/metrics and Agile practices to deliver scalable, user-focused products.

Build and own Dia’s enterprise administration products, including the Admin Console, entitlement and provisioning APIs, identity and policy configuration, usage metering, commerce integrations, and Atlassian Admin Hub integration. Partner with platform and client engineers to deliver enterprise features across web and native clients, establish technical direction, and shape the enterprise roadmap in a high-ambiguity startup environment.

Build and scale Daymark Health’s cancer care platform across the stack. Responsibilities include developing secure infrastructure and core systems, collaborating with product, data, operations, and customers, integrating workflows, following HIPAA and SOC 2 controls, handling PHI securely, and using AI coding tools to accelerate development. The role requires contributing to technical strategy, improving user experience, and adapting quickly in a startup environment.

Lead the platform’s technical architecture, coordinate the development team through sprints, contribute hands-on full-stack development, and oversee Solana wallet integrations, transaction safety, security, and gaming mechanics for poker, slots, and fantasy sports.

Forward Deployed Engineer responsible for managing client relationships, supporting end-to-end data product implementations, ensuring data quality and adoption, and coordinating account and engineering teams. The role develops scalable data pipelines and product lines, applies SQL or Python and statistical methods, creates visualizations, documents code, trains employees, and drives customer value. Experience with data products, retail or consumer data, BI infrastructure, and alternative data sources is valuable.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Serve as the technical anchor for HubSpot’s Breeze Assistant platform. Architect and ship scalable distributed and agentic AI systems using LLMs, RAG, vector databases, and tool-calling. Build platform primitives, customer-context integrations, dynamic artifacts, and multi-step workflows across HubSpot and third-party tools. Drive reliability, evaluation, observability, guardrails, privacy, and production readiness while mentoring engineers and partnering cross-functionally on product and platform strategy.