Dev Ops Engineer

Millennium Management LLC; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading global hedge fund is looking for a skilled DevOps Engineer to join their Equities Trading team. This role requires strong proficiency in Python, experience with Apache Airflow, Docker, and Kubernetes, and a solid understanding of CI/CD pipelines. The successful candidate will oversee production systems and work closely with various teams to ensure high performance and continuous improvement in trading infrastructure. Candidates should have 5+ years in a quantitative role and strong problem-solving abilities.

Qualifications

• 5+ years of professional experience in a quantitative role.
• Familiarity with the trading process and financial markets.
• Meticulous attention to detail and a commitment to accuracy.

Responsibilities

• Design and build out production environments.
• Perform continuous status checks on automated tasks.
• Develop automated testing frameworks and solutions.
• Monitor application logs and resolve issues proactively.
• Ensure timely delivery of external data.
• Maintain data accuracy in web scraping pipelines.

Skills

Strong proficiency in Python

Monitoring and observability tools

Apache Airflow

Data pipelines and ETL processes

Docker

Kubernetes

CI/CD pipelines

Problem-solving and troubleshooting skills

Excellent communication and collaboration

Job description

Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns.

Job Description: Dev Ops Engineer, Index Rebalance

Leading index Rebal team seeking a highly skilled and proactive DevOps Engineer to join our Equities Trading team. This role is critical to ensuring the stability, performance, and scalability of our research and trading infrastructure.

The successful candidate will be responsible for monitoring and maintaining production systems, supporting research workflows, and driving improvements across our infrastructure. You will work closely with developers, researchers and portfolio managers to ensure seamless operations and continuous innovation.

Location

London or Dubai

Principal Responsibilities

• Environment design and build-out.
• Perform continuous status checks on research and trading-critical automated tasks.
• Develop automated testing frameworks and AI-driven solutions to enhance the quality of research and development outputs.
• Identify opportunities to improve the stability and performance of infrastructure components and implement solutions to address them.
• Continuously monitor logs for all production applications. Proactively identify and resolve issues before they impact operations.
• Oversee the health and performance of data pipelines, including the team's data pipeline and other dependencies.
• Ensure timely and accurate delivery of external data.
• Work closely with researchers, developers, and portfolio managers to understand their needs and deliver tailored solutions.
• Web Scraping: Monitor and maintain web scraping pipelines to ensure data accuracy and reliability.

Required Technical Skills

• Strong proficiency in Python.
• Experience with monitoring and observability tools.
• Hands-on experience with workflow orchestration tools - Apache Airflow.
• Familiarity with data pipelines and ETL processes.
• Proficiency with containerization and orchestration technologies - Docker, Kubernetes
• Strong understanding of CI/CD pipelines and tools
• Strong problem-solving and troubleshooting skills, with a proactive approach to identifying and resolving issues.
• Excellent communication and collaboration abilities, with the ability to work effectively across teams.
• Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment

Preferred Experience

• 5+ years of experience of professional experience in quantitative role
• Trading Knowledge: Familiarity with the trading process and financial markets.
• Problem-Solving: Excellent analytical and problem-solving skills.
• Attention to Detail: Meticulous attention to detail and a commitment to accuracy.
• Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously.
• Team Player: Ability to work effectively in a collaborative team environment.
• Communication Skills: Strong verbal and written communication skills.