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# Production Support Engineer

- **Company:** MILLENNIUM
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Apache HTTP Server, Microsoft Azure, C Sharp (Programming Language), Unix, C++ (Programming Language), Relational Databases, Linux, Distributed Systems, Python (Programming Language), PostgreSQL, Systems Development Life Cycle, Scala (Programming Language), Supervised Learning, Delivery Pipeline, Generative AI, Backend, Apache Kafka, Teamcity, Jenkins, Confluent, Golang
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c5a6865aa45ed123

## About the Role

Do you have experience in UNIX?, Technical Qualification

 * 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.

Preferred Skills and Experience

 * 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.

## Description

* 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.


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