Cloud DevOps Engineer

Millennium is a top tier global hedge fund with a strong commitment to leveraging innovations in technology and data science to solve complex problems for the business. We are assembling a strong Commodities Technology team to build our next generation in-house Commodities platform.  Commodities Technology provides a dynamic and fast-paced environment with excellent growth opportunities.

Responsibilities 

• Work closely with quants, portfolio manager, risk managers and other engineers in New York, Chicago, Miami, and Bangalore to develop data intensive and multi-asset analytics for our Commodities platform

  
  

• Gather requirements and user feedback in collaboration with fellow engineers and project leads

  
  

• Design, build and refactor robust software applications with clean and concise code following Agile and continuous delivery practices

  
  

• Automation of system maintenance tasks, end-of-day processing jobs, data integrity checks and bulk data loads/extracts

  
  

• Staying abreast of industry trends, new platforms and tools, and coming up with a business case to adopt new technologies

  
  

• Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)

  
  

• Support users and operational flows for quantitative risk, senior management and portfolio management teams using the tools developed

  
  

Qualifications/Skills Required

• Advance degree in computer science or any other scientific fields

  
  

• 3+ years of experience in CI/CD Tools like TeamCity, Jenkins, Octopus Deploy and ArgoCD.

  
  

• AWS Cloud infrastructure design, implementation and support. Experience with multiple AWS Services.

  
  

• Infrastructure as Code deploying cloud infrastructure using Terraform or Cloudformation.

  
  

• Knowledge of Python (Flask/FastAPI/Django)

  
  

• Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments.

  
  

• Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana).

  
  

• Strong knowledge of Unix or Linux

  
  

• Strong communication skills to collaborate with various stakeholders

  
  

• Able to work independently in a fast-paced environment

  
  

• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

  
  

• Experience working in a production environment.

  
  

• Some experience with relational and non-relational databases.

  
  

Qualifications/Nice to have

• Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ.

  
  

• Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)