What are the responsibilities and job description for the Systematic Production Support Engineer position at Millennium?
We are looking for an experienced professional to help us scale our systematic operations and support engineering capabilities. This role directly supports portfolio management teams across Millennium, with operational excellence at the core. Our efforts are focused on delivering the highest quality returns to our investors – providing a world-class and reliable trading and technology platform is essential to this mission. This is a unique opportunity to drive significant value creation for one of the world’s leading investment managers.
Principal Responsibilities
Principal Responsibilities
- Build, develop and maintain a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations.
- Work with portfolio managers and other internal customers to reduce operational risk through:
- Implementation of monitoring, reporting, and trade workflow solutions.
- Implementation of automated systems and processes focused on trading and operations.
- Streamlining development and deployment processes.
- Implementation of MCP servers focused on assisting rest of the Support Engineering team as well as proactively monitoring production environment.
- 5 years of development experience in Python.
- Experience working in a Linux / Unix environment.
- Experience working with PostgreSQL or other relational databases.
- Ability to understand and discuss requirements from portfolio managers.
- Understanding of NLP, supervised/non-supervised learning and Generative AI models.
- Experience operating and monitoring low-latency trading environments.
- Familiarity with quantitative finance and electronic trading concepts.
- Familiarity with financial data.
- Broad understanding of equities, futures, FX, or other financial instruments.
- Experience designing and developing distributed systems with a focus on backend development in C/C , Java, Scala, Go, or C#.
- Experience with Apache / Confluent Kafka.
- Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline).
- Experience with containerization and orchestration technologies.
- Experience building and deploying systems that utilize services provided by AWS, GCP or Azure.
- Contributions to open-source projects.