Full-Stack Software Engineer, People Intelligence

The People Intelligence team builds the internal software Applied Intuition's leaders use to run the company as it grows and scales to many thousands of employees: tools for performance management, team planning, headcount and budget, organizational insight, and the everyday experience of working here. Building a great company is as much a people problem as a technical one, so we work side by side with leaders and internal teams to understand the problem before we build. Much of that understanding comes from data: turning people, financial, and operational data into measures and analysis leaders can trust.

You'll join a small team where every engineer owns products end to end: working directly with company leaders as customers, turning operational bottlenecks into durable systems, and shipping to production continuously. Few roles offer this combination of company-wide impact, executive visibility, and real ownership.

AT APPLIED INTUITION, YOU WILL:

• Own products end to end, from an ambiguous problem to shipped, reliable software: Go services (Gin, sqlc) and React/TypeScript frontends (Vite) on Postgres
• Build with AI coding agents (e.g., Claude Code) and LLM APIs every day, while keeping a high bar for quality: tests, code review, safe migrations, and careful deploys
• Build data pipelines and integrations with company systems of record (Workday, Slack, Jira), with versioned schema migrations (Alembic)
• Deploy and run what you ship on GCP and AWS (ECS, RDS, Terraform), with CI/CD in GitHub Actions and your own monitoring and alerting
• Retire legacy Python/Flask systems by migrating their data and APIs onto the modern service platform without disrupting the people who depend on them
• Turn people, financial, and operational data into metrics, analyses, and visualizations that leaders use to make decisions, using SQL and Python
• Keep sensitive people and financial data correct and access-controlled: identity-aware access, authorization enforced in code, and tests that catch regressions before deploy
• Work directly with company leaders and partner teams (People, Finance, IT, and others) to decide what gets built

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