Senior Software Platform Engineer

Team Overview

PsiQuantum's Applications Software Engineering Team (ASET) builds tools for quantum algorithm developers: cloud development environments, circuit design tools, and resource estimation systems. Our most recent public release is PsiQuantum’s open access Construct platform that helps researchers write, simulate, and optimize quantum algorithms for the world's first utility-scale, fault-tolerant quantum computer.

Role Overview

We're looking for someone to take ownership of ASET’s infrastructure and pipelines from our existing platform engineer, continuing to grow our platform and making it easier for quantum researchers to do their best work. That platform includes AWS infrastructure, Terraform configs, CI/CD workflows, and resources our researchers depend on for large-scale, computationally intensive quantum simulations. There's a real opportunity to shape how all of it evolves.

Responsibilities

• Own our AWS infrastructure end-to-end and actively shape how it evolves; building and optimizing, not just maintaining
• Reduce friction in the deployment pipeline so developers can ship features with confidence
• Harden systems with intention: lock down IAM roles, container images, and authentication flows in ways that reflect a clear understanding of where the real risks are
• Develop relationships and work closely with platform engineers across PsiQuantum, including to leverage HPC/GPU resources
• Make deployments faster to roll out, easier to roll back, and less prone to failure
• Lead incident response and post-mortems when necessary

Required Qualifications

• Experience: 5+ years in Platform Engineering, DevOps, or SRE roles
• Production AWS experience: Built and maintained systems on ECS/EKS, managed multi-account networking (VPCs, security groups), and dealt with real-world infrastructure complexity
• Infrastructure as Code: You've written and maintained Terraform (or Pulumi/CDK) in production, including applying ongoing changes as requirements evolved
• CI/CD: Improved build pipelines in production (reduced build times, increased reliability, made deployments easier to debug), including experience with GitLab CI, GitHub Actions, or equivalent

Preferred Qualifications

• Background in scientific computing, research infrastructure, ML platforms, or early-stage startups (especially research computing vendors)
• GPU/HPC experience: Supported GPU workloads in production environments, including code optimization, CUDA debugging, and job scheduler setup
• Security & compliance experience: You've implemented auth systems (Auth0/Okta), managed encryption (KMS), or worked on compliance-driven infrastructure
• Exposure to quantum computing SDKs (Qiskit, Cirq, PennyLane) or hybrid classical-quantum workflows is a plus, but not required; genuine interest in quantum computing matters more than prior exposure