Dev Ops Engineer

Millennium

London

Hybrid

GBP 70,000 - 90,000

Full time

14 days+

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Job summary

A global hedge fund in London is seeking a highly skilled Dev Ops Engineer to ensure the stability and performance of their research and trading infrastructure. The candidate will be responsible for monitoring production systems and implementing improvements. Ideal applicants will have over 5 years of experience, strong proficiency in Python, and knowledge of containerization technologies. This full-time position offers a collaborative environment with a focus on innovation.

Qualifications

5+ years of experience in a professional quantitative role.
Familiarity with the trading process and financial markets.
Excellent analytical and problem-solving skills.

Responsibilities

Design and build-out environments.
Perform continuous status checks on automated tasks.
Develop automated testing frameworks.

Skills

Python

Monitoring and observability tools

Apache Airflow

Data pipelines and ETL processes

Docker

Kubernetes

CI/CD pipelines

Problem-solving skills

Communication skills

Job description

Join to apply for the Dev Ops Engineer role at Millennium

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

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 in a professional 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.

Seniority level