Top Software Engineer Jobs

Build and ship AI-powered revenue software using React, TypeScript, Node.js, and Python. Own projects from conception through deployment, monitoring, and iteration while working directly with customers. Develop agent-building workflows, real-time collaboration, voice AI, simulations, evaluation systems, and monitoring tools. Improve platform performance, reliability, scalability, and agent efficiency. Collaborate closely with engineers and provide thoughtful code reviews in a fast-moving, customer-focused environment.

Build and improve full-stack software for engineers operating mission-critical hardware. Responsibilities include developing React and TypeScript/JavaScript interfaces, contributing to backend services and APIs, creating reliable data flows, debugging across systems, writing tested code, and collaborating on greenfield products. The intern will work closely with software engineers and operators while gaining experience across frontend, backend, databases, and hardware-connected systems.

Develop, test, deploy, and maintain complex software systems. Lead feature and project execution, contribute to architecture and design reviews, review code, automate testing, monitor service health, perform root cause analysis, and support DevOps practices. Document enhancements and mentor junior engineers while collaborating with product management and cross-functional stakeholders.

Develop, test, deploy, and maintain complex software systems using Java, React, and SQL. Lead feature delivery, participate in architecture and code reviews, mentor engineers, automate testing, monitor service health, resolve incidents, and contribute to DevOps practices, documentation, and production support.

Develop and maintain full stack payroll applications using React, TypeScript, Java, REST APIs, and SQL/NoSQL databases. Lead architectural design, code reviews, automated testing, deployment, monitoring, and production support. Manage feature delivery, collaborate with product and UX teams, resolve service issues, document solutions, and mentor junior engineers while ensuring scalability, reliability, security, and quality.

Develop and own payroll software features from design through production. Implement payroll calculations, data transformations, APIs, and backend services with strong correctness, auditability, performance, and reliability. Investigate production issues, conduct code reviews, improve existing systems, and apply testing, monitoring, resiliency, and DevOps practices. Collaborate with product, QA, and platform teams while mentoring junior engineers and contributing to technical design decisions.

Develop and maintain full-stack customer-facing web and mobile features using .NET and React or Angular. Responsibilities include API development, SDLC participation, automated testing, code reviews, issue triage, root-cause analysis, on-call support, agile collaboration, technical solution delivery, and mentoring engineers. The role requires enterprise software experience and familiarity with cloud deployment, Docker, Kubernetes, MongoDB, and modern testing practices.

Lead technical direction and hands-on development of Bitcoin and stablecoin iOS products across Cash App, Square, and Bitkey. Own architecture, implementation, testing, service integration, rollout, observability, security, and post-launch improvements. Build foundational systems, mentor engineers, influence cross-team standards, collaborate across platforms, and integrate AI-assisted development tools while maintaining software quality and reliability.

Develop and maintain full-stack applications using Java, Spring Boot, Angular, PostgreSQL, and AWS. Leverage AI coding assistants to accelerate development while reviewing, debugging, securing, and optimizing generated code. Build unit tests, modernize applications, ensure adherence to cloud and database standards, and collaborate across teams in an Agile environment. The role requires an active Top Secret clearance and potential SCI/CI Poly eligibility.

Design, build, and maintain high-throughput, low-latency backend APIs and microservices for flight search, booking, payments. Own features end-to-end, ensure resiliency with testing and observability, collaborate with cross-functional partners, and modernize cloud-native systems at scale.

Develop and maintain Windows and web applications for radio products, implement communications protocols, create requirements and protocol documentation, troubleshoot field and design issues, correct defects, and collaborate with engineering teams. The role supports subscriber and encryption products and follows product lifecycle processes. Travel may comprise up to 20% of the position.

Leads infrastructure platform software engineering within an agile team. Develops, reviews, tests, debugs, and operationalizes secure, scalable production code; provides technical guidance; influences architecture and technical operations; and promotes engineering standards. Drives responsible adoption of AI-assisted development tools, establishes validation and security controls, advances automation across the SDLC toolchain, and serves as a subject-matter expert. The role may involve cloud-native infrastructure, Kubernetes ecosystems, multiple cloud platforms, and database technologies.

Leads the design, development, testing, and operation of secure, scalable Java backend systems and Kafka-based event-streaming platforms. Drives architecture decisions, writes design documentation, improves reliability and observability, reviews code, troubleshoots production issues, and promotes responsible AI-assisted engineering practices. Collaborates with vendors and internal stakeholders, mentors engineers, and leads communities of practice. The role requires expertise in microservices, cloud platforms, distributed systems, databases, high-throughput streaming, and operational stability.

Build full-stack AI governance and observability features for Hex’s data platform. Responsibilities include developing React and TypeScript interfaces, backend language parsers, SQL generation, AI context systems, semantic models, agent audit tools, and workflows for governing and debugging AI-generated answers. The role requires solving front-end UX and backend scalability challenges while working with data teams and modern data warehouse technologies.

Design and evolve shared backend infrastructure, including APIs, realtime transport, storage frameworks, background job systems, workflow orchestration, and internal tooling. Improve reliability, performance, observability, and security while partnering with product teams on reusable abstractions. Lead technical design discussions, drive migrations and refactors, mentor engineers, and help establish backend architecture and engineering standards.

Build backend-leaning product features for Hex’s AI analytics platform, including APIs, CLI workflows, MCP integrations, access-control systems, enterprise administration, and full-stack product changes. Design scalable systems, implement complex business logic, collaborate through RFCs and code reviews, and contribute across the application stack. The role uses TypeScript, GraphQL, Postgres, Redis, Kubernetes, AWS, and related infrastructure technologies.

Develops, customizes, tests, debugs, and maintains software applications for retail automation. Responsibilities include database design, SQL development, application testing and validation, performance improvements, documentation, customer and cross-functional consultation, and resolving hardware-software interface issues. The role requires Java proficiency, web and mobile development knowledge, REST API experience, and familiarity with relational databases.

Design, develop, test, deploy, and support scalable Java microservices, cloud-native applications, event-driven systems, secure APIs, and AI-powered solutions. Build relational database solutions, messaging systems, and CI/CD pipelines while applying DDD and DevSecOps practices. Monitor system health, troubleshoot production issues, evaluate emerging technologies, and support cloud modernization. Collaborate in Agile teams, mentor junior engineers, and promote engineering excellence across mission-critical healthcare and PBM transaction platforms.

Build and maintain scalable full-stack experimentation and analytics applications using Java, Spring Boot, TypeScript, React, Databricks, and Spark. Develop APIs, backend services, frontend components, and data-processing capabilities; contribute to architecture, testing, deployment, performance optimization, and production support. Collaborate with Product, Data Engineering, QA, and business stakeholders to deliver reliable cloud-native solutions and continuously improve engineering practices.

Entry-level software engineers will contribute to team projects, write tested and extensible code, navigate large codebases, debug and review code, collaborate with stakeholders, manage quality and delivery trade-offs, and actively pursue professional growth. The role is part of Affirm’s early-career program and involves hybrid work in New York City or San Francisco during the first year.

Develop and maintain well-tested, extensible software that supports Affirm’s team projects and business goals. Collaborate with engineers and stakeholders, navigate and debug large codebases, participate in code reviews, communicate risks and trade-offs, and balance delivery speed with system quality and reliability. New graduates will receive mentorship and work across teams and technology stacks in a hybrid early-career program.

Design, develop, and scale Pi’s core platform, including backend systems, shared services, internal APIs, frameworks, and abstractions for authentication, authorization, multi-tenancy, asynchronous jobs, and service communication. Improve system architecture, reliability, performance, and maintainability while collaborating with product, AI, and infrastructure teams to solve shared engineering challenges.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Build and own major components of Mercor’s automation platform, including AI agents for sourcing, vetting, staffing, compensation, workflow management, and revenue optimization. Engineers will work with substantial autonomy in an ambiguous, fast-paced environment to develop high-quality systems that scale data production businesses and support frontier AI development.

Build secure, scalable AI integration platforms connecting enterprise systems, external tools, and data sources. Design backend APIs, distributed services, authentication boundaries, and agent orchestration workflows. Drive reliability through observability, SLOs, incident readiness, and performance optimization. Partner cross-functionally on technical strategy, lead architecture reviews, mentor engineers, and own delivery from design through production.