Top Software Engineer Jobs in Washington DC,

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Hands-on senior full-stack engineer building and supporting user-facing features, infrastructure, and AI-powered workflows (LLM integration, RAG, agents). Drive architecture, dev experience, CI/CD, and partner with product and program teams to deliver a scalable education platform.

Build and maintain Rocket Money’s Autopilot banking and investment systems. Responsibilities include developing React interfaces and Node.js/GraphQL backends, making architecture decisions, collaborating with stakeholders, managing vendor integrations, improving observability and performance, and owning the technology lifecycle from planning through production maintenance.

Design, develop, deploy, and support secure, scalable mobile applications and cloud-native solutions. Build React Native applications, integrate REST APIs, improve performance and reliability, and apply mobile security best practices. Drive automation, CI/CD, DevSecOps, incident management, observability, and cloud operations using AI-enabled tools and Infrastructure as Code. Collaborate with stakeholders and vendors, influence technical decisions, and continuously improve engineering practices and platform capabilities.

Designs, develops, deploys, and supports secure, scalable mobile applications and cloud-native solutions. Builds React Native applications and integrates native iOS or Android capabilities, REST APIs, authentication, secure storage, and performance optimization. Drives reliability through CI/CD, monitoring, automation, incident management, and DevSecOps. Coordinates integrations across platforms, applies AI-enabled development practices, and influences technical decisions while collaborating with stakeholders and vendors.

Develop highly available, scalable cloud-based integration services for Axon’s real-time operations platform. Drive cross-team technical architecture, integration frameworks, partner onboarding, technical roadmaps, and reusable platform components. Collaborate with engineering, product, design, professional services, and external partners; lead architecture reviews, mentor engineers, improve engineering processes, and leverage AI to enhance customer experiences.

Build API-first backend services for workflow orchestration, data ingestion, evaluation, and results management, along with analyst-facing web consoles. Implement identity federation, authentication, authorization, relational data models, automated testing, and CI pipelines. Create API documentation, SDK examples, reference implementations, notebooks, and integration resources. Collaborate with security, infrastructure, platform, and ML engineers while supporting external partners and Government users integrating with published interfaces.

Lead technical data conversion for Oracle Fusion Cloud ERP implementations. Design source-to-target mappings, develop SQL and PL/SQL transformation processes, execute data load cycles using FBDI and HDL, and implement validation and reconciliation controls. Resolve complex migration issues, optimize performance, collaborate with functional consultants and client stakeholders, and mentor junior developers throughout the migration lifecycle.

Deploys and operationalizes AI security platforms for public sector customers across cloud, hybrid, on-premises, edge, and air-gapped environments. Builds integrations, prototypes, demos, workflows, and deployment architectures; troubleshoots complex implementations; collaborates with customer, engineering, product, security, and mission teams; and translates field feedback into product improvements and implementation strategies.

Design, implement, and operate cloud-scale secure data access features for Azure Blob Storage. Lead end-to-end development, collaborate with stakeholders, improve availability, observability, performance, and apply AI-assisted engineering to enhance productivity and operations.

Lead design and delivery of cloud and AI production systems, partner with stakeholders to translate needs into architecture, ensure security and quality, mentor engineers, and drive customer adoption and scalable reusable solutions across engagements.

Design, build, test, deploy, and maintain production software and services. Partner directly with customers and multidisciplinary teams to translate business needs into technical solutions. Apply secure coding, privacy, responsible AI, monitoring, and reliability practices. Participate in incident response and on-call support, conduct root-cause analysis, and create reusable engineering assets and documentation. The role may involve deploying AI or LLM-based solutions and traveling up to 25% of the time.