Senior Python Engineer: Scale‑Up for Distributed Compute in London

Senior Python Engineer: Scale‑Up for Distributed Compute in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Hunter Bond

At a Glance

  • Tasks: Build core distributed compute infrastructure and tackle complex challenges in a dynamic environment.
  • Company: Join a scale-up tech firm with a focus on innovation and collaboration.
  • Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
  • Other info: Collaborate with experienced engineers in a supportive and innovative culture.
  • Why this job: Make an impact by solving real-world problems in distributed systems and data processing.
  • Qualifications: 5+ years of experience in software engineering and expertise in distributed systems.

The predicted salary is between 60000 - 80000 £ per year.

Hunter Bond is seeking a talented Software Engineer in London to help build the core distributed compute infrastructure for a scale-up tech firm. The role focuses on workload scheduling, compute orchestration, and large-scale data processing across cloud-native environments.

With 5+ years of experience, you will tackle complex challenges around distributed systems, performance, and reliability, while collaborating with experienced platform engineers and product teams in a hybrid work setting.

Senior Python Engineer: Scale‑Up for Distributed Compute in London employer: Hunter Bond

Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.

Hunter Bond

Contact Details:

Hunter Bond Recruitment Team

We think you need these skills to ace Senior Python Engineer: Scale‑Up for Distributed Compute in London

Python
Distributed Systems
Workload Scheduling
Compute Orchestration
Large-Scale Data Processing
Cloud-Native Environments
Performance Optimisation