SonicJobs Logo
Left arrow iconBack to search

Python Developer - Reliability

Ncounter
Posted 11 days ago, valid for 21 days
Location

London, Greater London EC2V 7WS, England

Salary

£60,000 - £72,000 per annum

info
Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • Join a leading global investment management firm as a Python Developer in the Reliability team, focusing on maintaining software performance and stability.
  • The role requires 5+ years of experience in Python, familiarity with version control systems like Git, and a background in Linux environments.
  • Candidates should have experience in building automation tools, managing system configurations, and enhancing system stability and performance.
  • Knowledge of additional technologies such as C++, KDB/q, Slurm, Airflow, Kafka, or AMPS is preferred, along with skills in observability and performance optimization.
  • This position offers a competitive salary, reflecting the expertise required, and is ideal for software engineers passionate about technology and innovation.

Python Developer - Reliability

Join a leading global investment management firm at the forefront of technology innovation. We’re searching for a talented Python Engineer to join our Risk & Market Access division. At our firm, we harness a diverse portfolio of systematic and quantitative strategies, striving to deliver high-quality, uncorrelated returns. Our success is built on a strong foundation of cutting-edge technology, rigorous scientific research, and deep expertise across trading, technology, and operations.

As a tech-driven organization, we develop our own advanced systems, including high-performance trading platforms and large-scale data analysis infrastructure. With a global presence, we emphasize collaboration across investment, technology, and operations teams, ensuring seamless integration across our offices worldwide. Within this Reliability team, you’ll play a vital role in maintaining the performance, stability, and availability of our software systems. You'll be working closely with mission-critical applications, developing reliability features, improving observability, and building automation tools to streamline operations.

About the Role

- 5+ years in Python, with familiarity with version control (e.g., Git), and experience working in a Linux environment.

- Experience in building automation tools and managing system configurations.

- Knowledge of C++, KDB/q, and experience with technologies like Slurm, Airflow, Kafka, or AMPS.

- Background in enhancing system stability, scalability, and performance while conducting root cause analyses to resolve incidents efficiently.

- Observability skillset, monitoring and analysis of system performance.

- Ability to identify and address bottlenecks to improve response times and resource usage for our production systems, for performance optimization.

- Demonstrable background creating and maintaining automation solutions for system operations, deployments, and incident management to reduce manual tasks and improve system reliability.

This is a unique opportunity to work in a dynamic and fast-paced environment where technology and innovation are at the heart of everything we do. If you're a skilled software engineer with a passion for reliability, we’d love to hear from you!

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.