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.)
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