Software Engineer, People Technology

About the role

At Gusto, we are seeking a Software Engineer to join our People Technology team as the dedicated engineer behind PeopleOS - our AI-native internal HR platform - and the broader suite of custom tools and integrations that power our People tech ecosystem. You will design, build, and ship software that directly shapes how every Gustie experiences HR, from recruiting and onboarding to performance and offboarding. The ideal candidate is a hands-on full-stack engineer and problem solver who thrives in ambiguity, cares about the employee experience, and wants to see their work used every day by real people. You will be the technical owner for PeopleOS, partnering directly with People Ops stakeholders to translate workflows into working software that drives technical design, implementation, UAT support, and release. In this role, you will design, build, test, and maintain integrations across Workday, Greenhouse, Lattice, Slack, and Google Workspace while building and maintaining custom MCP (Model Context Protocol) servers that give AI agents structured access to People Systems data where no native tool MCP exists. You will integrate the Anthropic API (Claude) to build intelligent internal tools including QPR coaching agents, HR front door chatbots, and ticket deflection workflows, and you will document integration specs, data mappings, and system configurations in Notion.

Key facts

What you'll do

Be the technical owner for PeopleOS, our internal AI-powered HR platform that was built with the purpose of enhanced Gustie experiences for people programs and a more efficient People team with features like the Offer Workflow Engine, People Home Base portal, Celebration tools, and automated Talk Track generation.

Partner directly with People Ops stakeholders to translate workflows into working software driving technical design, implementation, UAT support, and release.

Design, build, test, and maintain integrations across Workday, Greenhouse, Lattice, Slack, and Google Workspace.

Build and maintain custom MCP (Model Context Protocol) servers that give AI agents structured access to People Systems data where no native tool MCP exists.

Integrate the Anthropic API (Claude) to build intelligent internal tools including QPR coaching agents, HR front door chatbots, and ticket deflection workflows.

Design prompts, handle structured outputs, and build safe, reliable AI-assisted workflows for People Ops use cases.

Document integration specs, data mappings, and system configurations in Notion.

Participate in Jira sprint planning and demo work to stakeholders bi-weekly.

Troubleshoot issues, identify root causes, and proactively implement corrective actions across the portfolio.

Optimize workflows, enhance service delivery, and free up teams to focus on meaningful, high-impact work to support a more responsive, efficient, and future-ready people experience.

Collaborate closely with cross-functional partners to ensure solutions meet business needs and are scalable and maintainable.

Contribute to a culture of continuous learning and experimentation by exploring new technologies and techniques relevant to people operations and internal tooling.

Champion quality by writing tests, performing code reviews, and maintaining high standards for reliability, performance, and security in the products you build.

Requirements

3-5 years of full-stack software engineering experience, with production-quality work in Python, TypeScript/Node.js, or both.

Strong experience building and consuming REST APIs - including OAuth flows, rate limiting, pagination, and error handling.

Demonstrated ability to integrate SaaS platforms such as Workday, Greenhouse, Slack, or Google Workspace.

Comfortable working with large, complex data sets and data models in relational databases and data warehouses.

Experience with modern software development practices including version control, testing, CI/CD, and agile methodologies.

Strong written and verbal communication skills, with the ability to translate technical concepts to non-technical stakeholders.

Ability to work independently and collaboratively in a fast-paced, dynamic environment while managing multiple priorities.

A passion for building tools that improve the employee experience and a commitment to owning end-to-end product outcomes.

Practical notes

Hours

Full-time (40 hours per week).

Travel

No travel is required for this role.

Visa

This role is open to candidates who require sponsorship in the United States.

Application deadline

Applications will be accepted until the role is filled.