Senior Software Engineer

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: We're seeking a senior developer to join our team. You will design, build, and operate large-scale data and ETL systems that power the firm's research and investment workflows. This is a high-autonomy role - you'll own critical systems end-to-end, make architectural decisions, and deliver solutions with minimal guidance. We need someone who is self-directed, able to lead themselves, take ownership of outcomes, and drive complex problems to resolution independently. You should be comfortable communicating across teams, articulating technical trade-offs to stakeholders, and mentoring others through code review and collaboration.

What You'll Do:

• Design, develop, and own backend services and data pipelines that process large volumes of data optimally and at scale
• Architect data storage and processing solutions, including schema design, query optimization, and data modeling
• Build and maintain APIs, messaging systems, and integration layers that connect data producers and consumers
• Drive technical decisions - evaluate trade-offs, choose the right tools, and define system boundaries
• Take ambiguous requirements and break them down into deliverable, well-engineered solutions
• Diagnose and resolve complex production issues - applying strong analytical and systems thinking
• Improve engineering practices: testing, CI/CD, observability, and documentation

What You'll Bring:

• 8+ years of professional software development experience
• Strong programming proficiency: Mastery of at least one major programming language (Python, Java, Go, C++, or equivalent). Beyond syntax fluency, you should understand language internals and be able to apply that depth to write performant, reliable code
• System design: Proven ability to architect distributed, scalable, and fault-tolerant systems. Understanding of common patterns - event-driven architecture, service decomposition, data partitioning, caching strategies
• Data engineering: Experience building ETL/ELT pipelines, working with batch and streaming data, and handling large-scale data processing
• Database proficiency: Deep understanding of relational databases (PostgreSQL, MySQL) and familiarity with analytical/columnar stores; strong SQL skills including query optimization
• Software engineering depth: Strong grasp of data structures, algorithms, design patterns, and software architecture principles - applied in production, not just theory
• API design: Experience designing clean, well-documented REST/gRPC APIs
• Incident response mindset: Ability to diagnose production issues methodically, drive root-cause analysis, and feed into post-mortems and operational improvement
• AI-agent readiness: Openness to working alongside AI coding agents and LLM-powered tools as part of the development workflow - using A