Top Engineering Jobs

Build and own backend services and APIs supporting money movement, payments, settlements, reconciliation, payroll integrations, retirement workflows, and financial compliance. Ship reliable production code, debug incidents, improve observability and operational tooling, and collaborate with product, compliance, operations, and engineering teams. Mentor engineers and ensure systems handling customer funds are correct, scalable, and well tested.

Own and develop Gusto’s PeopleOS internal HR platform, integrations, and AI-powered tooling. Build full-stack software, REST API integrations, MCP servers, and Claude-based workflows across Workday, Greenhouse, Slack, Google Workspace, and other systems. Partner with People Operations stakeholders on design, implementation, testing, documentation, releases, troubleshooting, and user feedback. Handle sensitive HR data while delivering reliable employee-facing tools.

Own end-to-end delivery of greenfield, full-stack product areas for Gusto Solo. Design scalable architectures and data models, build backend APIs and frontend experiences, use AI tools and develop AI-native features including MCP tools, and collaborate with Product, Design, Data Science, and GTM. Help shape product direction, engineering practices, and technical foundations in a high-autonomy environment.

Design, build, test, and scale Gusto’s invoicing and billing platform, including subscriptions, orders, invoice generation, payments, reporting, and accounting integrations. Lead architecture, performance, reliability, and large-scale refactoring for high-throughput distributed systems. Mentor engineers, collaborate across product and business teams, support new billing models, and use AI tools to accelerate development and testing.

Architect and build native iOS and Android financial products using SwiftUI, Jetpack Compose, and GraphQL. Lead mobile architecture, infrastructure, testing, release pipelines, and multi-quarter initiatives while applying AI workflows. Collaborate cross-functionally in a regulated banking environment, resolve ambiguous technical problems, maintain performance and security, and mentor engineers across both platforms.

Architect and develop scalable full-stack benefits platforms, including customer-facing web applications, shared services, benefits workflows, and AI-driven interfaces. The role involves frontend and backend development, system scalability, observability, CI/CD, personalization, and recommendation capabilities. The engineer will mentor colleagues, establish AI-native development practices, influence technical roadmaps, and partner with Marketing, Sales, Operations, and leadership to deliver reliable benefits shopping experiences.

Own full-stack HR Experience features from technical design through implementation, testing, deployment, monitoring, and incident response. Write maintainable code, collaborate with product and design, participate in engineering ceremonies, improve system reliability and performance, and mentor less-tenured engineers. The role requires strong backend and frontend development, relational database expertise, software engineering fundamentals, end-to-end project ownership, and clear technical communication.

Design, build, test, and scale Gusto’s payments infrastructure and platform. Make architectural decisions focused on fault tolerance, scalability, and modularity; modernize Ruby/Rails and TypeScript/React systems; collaborate across engineering, product, design, data science, and operations; deliver software supporting millions of businesses; and mentor fellow engineers.

Design, build, test, and operate Gusto core customer-facing products across frontend and backend. Own multi-quarter projects, scale Ruby/Rails and JavaScript/React systems, mentor engineers, collaborate with product, data, design, and platform teams, and iterate on features that deliver measurable customer impact.

Lead architecture and delivery of Gusto's Commerce Platform (product catalog, promotion engine, subscription, entitlements). Partner with product, data science, and cross-functional teams to drive large, multi-quarter platform projects, ensure reliability and SLOs, mentor engineers, and promote AI-augmented development and platform adoption.