Top Software Engineer Jobs

Design, develop, test, and maintain secure full-stack web applications for federal government customers. Build Java backend services, RESTful APIs, and responsive front-end solutions using JavaScript frameworks. Troubleshoot systems, improve performance and scalability, participate in code reviews and testing, and collaborate with technical and mission stakeholders to deliver reliable software.

Leads the architecture and development of AI-first frontend experiences, agent-driven UI, and scalable React component systems. Owns the design system, A2UI renderer strategy, frontend standards, accessibility, performance, and technical health. Partners with AI, backend, product, and design teams; evaluates emerging technologies; mentors engineers; and guides adoption of AI coding tools such as Claude Code and Codex. The role is an individual contributor position requiring hybrid work in Palo Alto at least three days weekly.

Design, build, and ship full-stack features (TypeScript/React frontend, Go backend); develop ServiceNow apps and integrations; scaffold services with IDP templates; maintain CI/CD (GitHub Actions); manage infrastructure with Terraform; build AI/LLM/agentic capabilities (AWS Bedrock); perform code reviews and mentor junior engineers.

Develop, test, troubleshoot, deploy, and maintain mission-critical C++ and Python software, backend services, web applications, automation, and SQL functionality in Linux and Windows environments. Manage GitLab repositories and CI/CD pipelines, support automated testing, document technical work, and ensure compliance with DoD security requirements while supporting the Air Force Distributed Mission Operations Center.

Develop and maintain end-to-end SaaS features spanning backend APIs, data pipelines, AI agents, interactive frontends, databases, and cloud infrastructure. Lead technical workstreams from requirements through rollout, scale performant and secure systems, collaborate with users and cross-functional teams, mentor engineers, contribute to architecture and code reviews, and improve engineering practices. The role requires significant software engineering experience and ownership of enterprise-quality software delivery.

Own Greenboard’s go-to-market technology stack, including HubSpot administration, CRM workflows, integrations, data quality, call intelligence, LLM-powered automation, dashboards, and Slack reporting. Partner with revenue leadership to translate sales processes into scalable systems, investigate funnel and deal data, and ship automation and analytics projects end to end. The role requires strong CRM expertise, SQL, Python or JavaScript, data warehousing, APIs, and experience building executive-facing reporting.

Lead the strategy, architecture, and hands-on delivery of Babel Street’s API and MCP platform. Design semantic, agent-ready APIs, establish governance and reusable frameworks, define context-management patterns, and enable AI-agent integrations. Partner with Architecture, AI, Data, Platform, product, engineering teams, and vendors to drive scalable cloud-native services, API standards, discoverability, and adoption across the organization.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

Develop and architect physics-based modeling and simulation software for advanced space nuclear systems. Lead software engineering standards, architecture, code reviews, testing, verification and validation, release management, CI/CD, and documentation. Refactor scientific codes, build multiphysics simulation interfaces, ensure reproducibility, and collaborate with NASA and multidisciplinary engineering teams. The role requires C++, Python, engineering software development, numerical methods, high-performance computing, parallel processing, and the ability to validate physics-based models.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.