DevOps Engineer - AWS

Millennium; London; On-site; GBP 50,000 - 100,000; Full time

Job summary

An established industry player is seeking a talented DevOps Engineer to join their innovative team. This role involves collaborating with global teams to develop cutting-edge analytics platforms while leveraging the latest technologies in cloud infrastructure and automation. You will have the opportunity to work with AWS services, CI/CD tools, and modern programming languages like Python and Java. The dynamic and fast-paced environment offers excellent growth opportunities for those who are detail-oriented and thrive in collaborative settings. If you're passionate about technology and eager to make a significant impact, this position is perfect for you.

Qualifications

• 3+ years of experience in CI/CD tools and AWS Cloud infrastructure.
• Strong knowledge of Python and experience with containerization.

Responsibilities

• Develop data-intensive analytics for Fixed Income and Commodities platforms.
• Design and build robust software applications following Agile practices.

Skills

CI/CD Tools

AWS Cloud Infrastructure

Terraform

Python (Flask/FastAPI/Django)

Kubernetes

Unix/Linux

Monitoring/Observability Tools

Relational and Non-relational Databases

Communication Skills

Detail Oriented

Education

Advanced Degree in Computer Science

Tools

TeamCity

Jenkins

Octopus Deploy

ArgoCD

AWS Services

Snowflake

Hadoop

Flink

Spark

Job description

DevOps Engineer - AWS

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 DevOps Engineering team to build next generation in-house platforms for several business lines. Our technology teams provide 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, Singapore, and Bangalore to develop data intensive and multi-asset analytics for our Fixed Income, Risk, and Commodities platforms
• 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)