2 days ago
Chicago, IL, USAMid Level
Base Salary
$175k - $225k/yr
Responsibilities
- Partner with engineering teams to understand workflows, clarify needs, and shape solutions aligned with broader priorities.
- Own software projects from problem definition and technical design through implementation, rollout, and ongoing improvement.
- Develop agent harnesses and developer workspace capabilities for AI coding tools.
- Improve agent access to relevant context from internal systems.
- Build shared MCP server tooling, including authentication patterns, reusable components, and project templates.
- Contribute to in-house agents and evaluation and benchmarking tooling.
- Embed security, reliability, and observability into software and integrations.
- Collaborate with global Development Platform colleagues to support adoption, gather feedback, and improve developer experience.
Requirements
- 3+ years of work experience in a relevant role.
- Bachelor’s degree in Computer Engineering, Computer Science, or equivalent.
- Strong programming experience in a high-level language, preferably Python or Java.
- Experience building developer-facing tools, APIs, or production systems.
- Understanding of security principles, authentication and authorization patterns, and secrets management.
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Curiosity about AI/LLM application patterns; exposure to coding agents or MCP servers is a plus.
- Strong communication, stakeholder collaboration, ownership, and problem-solving skills.
Benefits
- Full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.
- Based in Chicago; collaboration with global Development Platform colleagues is required.