> Markdown version of [/jobs/ext/4622221-principal-software-engineer-compute-platform](https://www.wearedevelopers.com/jobs/ext/4622221-principal-software-engineer-compute-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer - Compute Platform - **Company:** Apollo Solutions, Inc. - **Location:** Boston, MA, United States - **Contract:** Permanent contract - **Skills:** 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, Golang - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_36355a6e91793e3bf0bb8c040120fdd7 ## About the Role * 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 ## 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