Build and scale AWS infrastructure for a healthcare data platform, improving reliability, security, cost efficiency, and developer workflows through automation, deployment tooling, and cross-team engineering.
Software Engineer, Infrastructure
📜 Description
- Ensure the platform’s stability, security, scalability, and performance.
- Own critical infrastructure components.
- Build tools and systems that empower product engineers.
- Collaborate on roadmap, architecture, and product discussions with leadership, product, and engineering teams.
- Improve engineering best practices and processes.
- Engage directly with customers to gather product feedback and address issues.
🛠️ Requirements
- Familiarity with our tech stack: Kubernetes, Golang, Postgres, Redis, Terraform, GraphQL, TypeScript, and React
- Experience with cloud providers (e.g., AWS / GCP) and scaling cloud infrastructure
- Has 4+ years experience as a full-time software engineer or equivalent experience building large distributed systems
- Thrives in ambiguous environments with significant ownership and with the opportunity to make decisions that have a huge impact on the business
Full job description
About Opal Security:
At Opal, we’re building modern identity governance for the AI era—intelligent access management that empowers enterprises to move fast while staying secure. Our mission is to bring clarity, control, and confidence to complex enterprise environments, helping teams govern access without slowing down innovation.
About the Role:
Identity is having a moment. Every company is deploying agents, spinning up service accounts, and realizing their IAM stack can't keep up. We're building AI-native security that scales with this chaos and companies like Databricks and Figma are betting on us to get it right.
You will build customer solutions across the entire stack. You'll talk directly to security and eng teams at Fortune 500s and startups alike, understand their messy reality, and architect systems that actually solve their problems. You'll own the problem, not just the solution, which means you get to be creative, challenge assumptions, and build things that don't exist yet.
Please note: We've built a team that works exceptionally well together and has fun doing so. We're looking to bring on new teammates who will both add to and grow with what we're building 🙂
Your responsibilities
Ensure the stability, security, scalability, and performance of Opal Security’s platform
Take ownership of critical components of Opal Security’s Infrastructure
Empower product engineers with the tools and systems they need
Work closely with leadership, our product team, and other engineers in roadmap, architecture, and product discussions
Create and improve engineering best practices and processes
Interact directly with customers on product feedback and issues
Our ideal candidate
Familiarity with our tech stack: Kubernetes, Golang, Postgres, Redis, Terraform, GraphQL, TypeScript, and React
Experience with cloud providers (e.g., AWS / GCP) and scaling cloud infrastructure
Has 4+ years experience as a full-time software engineer or equivalent experience building large distributed systems
Thrives in ambiguous environments with significant ownership and with the opportunity to make decisions that have a huge impact on the business
Similar jobs
Search more Infrastructure Engineer jobsBuild and operate the software behind a global compute fleet, developing control planes, automation, observability, and high-performance networking to improve reliability, efficiency, and scale.
Infrastructure Network & Supply Engineer - FTC (6 months)
As an Infrastructure Network & Supply Planner, you'll design and implement tools and AI agents to optimize capacity planning and ensure efficient infrastructure deployment.
Scale and strengthen production cloud infrastructure by building reliable AWS services, improving observability and deployment safety, and leading incident response on a small engineering team.
Secure, scale, and maintain the cloud infrastructure powering a computer vision platform, spanning Kubernetes, databases, ML pipelines, reliability, observability, cost optimization, and security.
