Job Summary We are looking for an Infrastructure Software Developerpassionate about AI-driven automationto join our World Quant 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, Chat GPT, 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 Ia C tools such as Ansible, Salt Stack 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 (Lang Chain, Crew AI, Google ADK, A2 A, etc.)