Greenhouse - Software Engineer, Developer Platform (Contract, Argentina)
Requirements
• 5+ years of professional software engineering experience building and shipping production software. • Strong programming experience in Python, TypeScript, Go, or Java. Software development should be a primary part of your recent work, not an occasional component of an infrastructure or operations role. • Experience building software used by other engineers, such as an internal platform, SDK, framework, developer tool, API, command-line tool, or shared service. • Strong software engineering fundamentals, including API design, testing, maintainability, system design, and building clear developer-facing abstractions. • Experience treating infrastructure capabilities as a product rather than a collection of tickets, scripts, or manually managed environments. • Hands-on experience operating production services in AWS or GCP, including areas such as compute, networking, IAM, secrets, deployment automation, and infrastructure as code. • Experience with Terraform or similar infrastructure-as-code tooling, while remaining primarily a software engineer rather than a Terraform- or operations-focused specialist. • A developer-experience mindset, including gathering feedback, understanding engineering workflows, and iterating based on adoption and usage. • Strong production security fundamentals, including secrets management, OAuth/OIDC, least-privilege access, and dependency hygiene. • Familiarity with the evaluation, observability, or telemetry challenges associated with LLMs, agents, or other non-deterministic systems.
Responsibilities
• Help build the platform that lets people across Greenhouse build, deploy, and run their own agents and automations against Greenhouse's data and tools, shaping the platform's design alongside the team. • Stand up whatever infrastructure EA's application engineers need to ship reliably, including services, runtime, deployment, scheduling, and observability. • Provide services related to EA's AWS footprint end-to-end, including networking, IAM, secrets, security posture, and deployment automation. • Build the evaluation and observability practices that let us trust AI in front of real workflows. • Think holistically about EA's role across the business; spot the platform investments that pay off across multiple teams, not just one. • Partner with EA's application engineers so the platform actually fits the workflows they're shipping. • At Greenhouse's request, provide availability during agreed windows for production support activities.
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