Software Engineer, Infrastructure

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