Senior Backend Engineer: Distributed Systems & HPC

Colossus Technologies Group

Watertown (MA)

On-site

USD 120,000 - 180,000

Full time

19 hours ago
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Job summary

Colossus Technologies Group is seeking a Senior Backend Software Engineer to build scalable backend services and orchestration systems for compute-intensive workloads in a high-performance computing environment. You will work across cloud and HPC environments, focusing on distributed systems and backend infrastructure rather than traditional app development.

You will collaborate with scientific and infrastructure engineering teams, leveraging Kubernetes, Docker, Linux, and cloud platforms to

Qualifications

  • Backend development experience in production.
  • Experience with distributed systems.
  • Hands-on AWS or other cloud platform.
  • Experience with Docker and Kubernetes.
  • Strong Linux and systems troubleshooting.
  • Experience designing RESTful APIs and backend services.

Responsibilities

  • Build scalable backend services and APIs for compute-intensive workloads.
  • Develop systems for job orchestration, scheduling, data management, caching, and storage.
  • Improve distributed task pipelines and reliability for long-running workloads.
  • Integrate cloud infrastructure with HPC and high-performance compute environments.
  • Work with Kubernetes, containers, Linux, networking, and observability.
  • Optimize how CPU and GPU resources are utilized across large workloads.
  • Partner closely with scientific and infrastructure engineering teams.

Skills

Python
C++
Java
Distributed systems
AWS
Docker
Kubernetes
Linux
REST APIs
CI/CD

Tools

Docker
Kubernetes

Job description

Colossus Technologies Group is seeking a Senior Backend Software Engineer to build scalable backend services and orchestration systems for compute-intensive workloads in a high-performance computing environment. You will work across cloud and HPC environments, focusing on distributed systems and backend infrastructure rather than traditional app development.

You will collaborate with scientific and infrastructure engineering teams, leveraging Kubernetes, Docker, Linux, and cloud platforms to

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