Principal Software Engineer - Compute Platform

Apollo Solutions, Inc.
Boston, MA, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Computing Platforms Microsoft Azure Continuous Integration Job Scheduling Python (Programming Language) Performance Tuning Reliability of Systems Kubernetes Infrastructure Automation Frameworks Terraform
+1 more
Golang

Job description

You’ll be responsible for shaping how compute is provisioned, scaled, and optimized across thousands of research and production workloads - directly impacting researcher velocity, system reliability, and capital efficiency. It’s a deep systems + platform engineering position for someone who enjoys solving hard problems at scale., * Architect and evolve a high-performance compute platform supporting large-scale research, simulation, and production workloads

  • Design systems for job scheduling, resource allocation, workload isolation, and cost/performance optimization
  • Partner closely with quant researchers and engineers to understand compute needs and remove infrastructure bottlenecks
  • Lead complex initiatives in AWS
  • Set technical direction, raise engineering standards, and mentor senior engineers
  • Own reliability, scalability, and observability of core compute services

Requirements

  • Strong background in systems, infrastructure, or platform engineering
  • Strong development experience with languages such as Python, Java, Golang etc
  • Hands-on experience with Kubernetes / container orchestration or custom schedulers,
  • Experience with cloud platforms (AWS/GCP/Azure) and/or large on-prem clusters
  • Experience with infrastructure automation (Terraform, internal tooling, CI/CD)
  • Comfortable operating at Principal / Staff level - driving architecture.
  • Strong communication skills and ability to work with highly technical stakeholders, * Enjoys owning foundational systems
  • Thinks deeply about compute efficiency and scale
  • Wants to operate at the intersection of engineering, research, and real-world impact

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