Principal Software Engineer - Compute Platform

Apollo Solutions; Boston (MA); On-site; Full time

Benefits offered by this job

Highly competitive compensation

Strong bonus

Job summary

A top-performing investment firm in Boston seeks an experienced engineer to architect a high-performance compute platform for large-scale research and production workloads. In this pivotal role, you will shape compute provisioning, optimize performance, and lead complex initiatives on cloud platforms like AWS. The ideal candidate will have a strong systems engineering background, development expertise in languages like Python and Java, and hands-on experience with Kubernetes. This position involves significant interaction with quant researchers to enhance operational efficiency.

Qualifications

• Strong background in systems, infrastructure, or platform engineering.
• Hands-on experience with Kubernetes or custom schedulers.
• Experience with cloud platforms and large on-prem clusters.

Responsibilities

• Architect a high-performance compute platform for research and production workloads.
• Design systems for job scheduling and resource allocation.
• Lead complex initiatives in AWS.

Skills

Systems engineering

Python

Java

Golang

Kubernetes

Infrastructure automation

AWS

Cloud platforms

Technical communication

Tools

Terraform

CI/CD

Job description

Compensation: Highly competitive + strong bonus

We’re working with a top-performing, quantitative investment firm building and operating large-scale compute platforms that underpin systematic research, portfolio construction, and live trading.

This role sits at the core of the firm’s engineering and research infrastructure.

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.

What You’ll Do

• 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

What They’re Looking For

• 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

This role is ideal for someone who:

• Enjoys owning foundational systems
• Thinks deeply about compute efficiency and scale
• Wants to operate at the intersection of engineering, research, and real-world impact