Infrastructure Software Developer

Job Summary We are looking for an Infrastructure Software Developer passionate about AI-driven automation to join our WorldQuant Aligned Infrastructure team. The successful candidate will deliver high-quality, scalable infrastructure solutions and self-service tools for our growing internal users — with AI at the center of how they think, build, and ship. Responsibilities

• Develop, test and implement infrastructure solutions and self-service tools, leveraging AI-assisted development as a default workflow
• Develop and maintain scalable internal APIs, CLIs, MCPs and packages
• Design and implement CI/CD pipelines, including AI-augmented testing and deployment validation
• Monitor and manage complex distributed systems — automating alerts and implementing self-healing solutions with AI-driven observability and remediation
• Perform AI-assisted code reviews and promote best practices around responsible AI adoption
• Optimize for async collaboration with our global team

Ideal Candidate

• An exceptional infrastructure software developer committed to high quality code and infrastructure solutions
• AI-native by mindset — already using AI tools (Copilot, ChatGPT, Claude, Cursor, custom agents, etc.) daily because they cannot imagine working without them
• A collaborative team player with superior communication and problem-solving skills
• Driven by curiosity, always exploring new technologies — especially emerging AI capabilities

Required Skills / Experience

• Experience as a Systems Engineer, Infrastructure Developer or similar role — years of experience matter far less than demonstrated capability and passion
• Proficiency in Python or Go
• Experience with IaC tools such as Ansible, SaltStack and Terraform
• Hands-on experience with API development and integration
• Familiarity with container orchestration, especially Kubernetes
• Experience designing and implementing CI/CD pipelines
• Deep understanding of complex distributed systems architectures
• Demonstrated fluency with AI/ML tools in a development context — AI should already be part of how you work
• Excellent problem-solving skills and ability to communicate complex concepts clearly

Nice to Have

• Experience building or integrating AI agents for infrastructure tasks (auto-remediation, intelligent provisioning, natural language interfaces)
• Familiarity with LLM APIs, MCPs, prompt engineering, RAG patterns, or agentic frameworks (LangChain, CrewAI, Google ADK, A2A, etc.)