Senior Software Engineer

Stack

Responsibilities

• ▹Design, develop, and own backend services and data pipelines that process large volumes of data 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 connecting data producers and consumers
• ▹Drive technical decisions: evaluate trade-offs, choose tools, and define system boundaries
• ▹Break down ambiguous requirements into deliverable, well-engineered solutions
• ▹Diagnose and resolve complex production issues using strong analytical and systems thinking
• ▹Improve engineering practices: testing, CI/CD, observability, and documentation

Requirements

• ▹8+ years of professional software development experience
• ▹Strong proficiency in at least one major programming language (Python, Java, Go, C++, or equivalent), including language internals
• ▹Proven ability to architect distributed, scalable, and fault-tolerant systems (event-driven architecture, service decomposition, data partitioning, caching strategies)
• ▹Experience building ETL/ELT pipelines, working with batch and streaming data, and large-scale data processing
• ▹Deep understanding of relational databases (PostgreSQL, MySQL), familiarity with analytical/columnar stores, strong SQL skills
• ▹Strong grasp of data structures, algorithms, design patterns, and software architecture applied in production
• ▹Experience designing clean, well-documented REST/gRPC APIs
• ▹Ability to diagnose production issues methodically and drive root-cause analysis and post-mortems
• ▹Openness to working alongside AI coding agents and LLM-powered tools

Nice to have

• ▹Advanced Python: internals, concurrency (asyncio, threading, multiprocessing), performance profiling, FastAPI/Flask, SQLAlchemy, pytest, mypy
• ▹Observability and distributed tracing (OpenTelemetry, Grafana, ELK)
• ▹DevOps practices: Docker, CI/CD (GitLab CI, Jenkins), infrastructure-as-code (Ansible, Terraform)
• ▹Additional languages: C++ for performance-critical systems, Scala for distributed data processing with Apache Spark, or Rust for high-performance data engineering
• ▹Team leadership: running sprints, code reviews, mentoring engineers
• ▹Message queues and streaming: Kafka, Redis
• ▹Data orchestration with Airflow
• ▹Frontend/full-stack awareness: React, TypeScript for internal dashboards
• ▹Financial services or quantitative finance background
• ▹Open-source contributions or a public portfolio of technical work

Soft skills

What we offer

• ▹Base salary plus discretionary performance bonus and benefits

About the company

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets, producing high-quality predictive signals (alphas) through its proprietary research platform. Its culture pairs academic rigor with accountability for results.