Top Software Engineer Jobs

Design, build, and own end-to-end features for a regulated global card and wallet product. Lead technical design, implement frontend and backend code, ensure security, reliability, observability, mentor engineers, and collaborate cross-functionally to deliver scalable solutions.

Manage cross-functional software engineering squads, partnering with Product Management to prioritize work, plan milestones, develop technical rollouts, and deliver solutions. Mentor and coach engineers, build technical roadmaps, support staffing and team culture, monitor progress, and make engineering decisions. The role also requires guiding responsible AI adoption in software development, adapting agile processes, and contributing directly to engineering-driven product initiatives.

Design and own secure, scalable wallet infrastructure for custody, key management, transaction signing, authorization, recovery, and multichain systems. Architect support for MPC, HSMs, secure enclaves, TEEs, smart contract wallets, account abstraction, and emerging cryptographic approaches. Define security boundaries, policy engines, secrets management, authentication, and programmable authorization while making foundational build-versus-buy decisions and guiding systems from first principles through production.

Lead the design, development, deployment, and long-term operation of complex full-stack systems and features. Decompose ambiguous customer problems, manage data models and production systems, monitor SLAs, diagnose incidents, and make architectural decisions. Collaborate with Product, Design, Data Analytics, and Lifecycle Comms while mentoring engineers and improving engineering processes, tooling, and on-call practices. Work primarily with TypeScript, GraphQL, Temporal, Postgres, and AWS, using AI tools responsibly.

Designs, develops, integrates, tests, and demonstrates autonomy algorithms and software for unmanned platforms and mission systems. Provides technical leadership and mentoring across the software lifecycle, develops backend-focused algorithmic applications, supports system and system-of-systems architecture, and collaborates with research scientists to transition mathematical concepts into production software. Work includes mission planning, automated control, DevSecOps, CI/CD, code quality, Agile execution, and team leadership.

Lead backend architecture and development for a GenAI framework supporting AI agents and healthcare automation. Establish Python standards, scale production applications, drive AI coding assistant adoption, and oversee testing, observability, infrastructure, and build-versus-buy decisions. Partner across engineering, product, and business teams while mentoring senior engineers and translating strategic goals into technical roadmaps. The role focuses on data-intensive systems, APIs, cloud infrastructure, and agentic workflows in a healthcare technology environment.

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Build and scale Go backend services for agent quoting, configuration, and application submission. Design APIs and distributed systems, write unit and integration tests, resolve partner-specific issues, contribute to architecture, support production debugging, improve CI/CD automation, and use AI coding tools in daily engineering workflows. Collaborate with adjacent teams and mentor teammates through pairing and documentation.

Architect and re-engineer highly scalable, resilient backend data systems supporting patient services. Lead distributed systems strategy, make architectural decisions, improve performance and reliability, mentor engineers, establish operational practices, and collaborate with product managers and cross-functional stakeholders to shape engineering and product direction.

Own the architecture and technical direction of WHOOP’s Android connectivity layer, including BLE transport, history synchronization, firmware delivery, reliability, telemetry, and modular codebases. Collaborate with hardware, firmware, backend, and iOS teams; diagnose device-specific issues; improve testing and code quality; support releases and incident response; mentor engineers; and define modern Kotlin and Android engineering practices.