About the company
Our client is a Series B conversational AI company building voice agents for customer service. Its platform has been running in production since 2020 and handles millions of calls each month for enterprise customers. A small, senior engineering team works remotely across North America to build and improve the systems behind these interactions.
The role / why it matters
As Site Reliability Engineer, you will build and operate the platform that helps engineering teams deliver reliable AI products at scale. You will own critical infrastructure domains across CI/CD, developer experience, observability, and agent harness engineering, with room to shape how the platform evolves.
What you'll do
- Own and improve CI/CD pipelines, including caching, architecture, developer self-service, and deployment workflows.
- Build developer tools and platform capabilities that reduce toil and help engineering teams ship faster.
- Extend the agent harness, including continuous integration, sandboxes, guardrails, and validation for autonomous agents.
- Operate Kubernetes-based cloud infrastructure and improve cost management, reliability, and observability.
- Develop monitoring, alerting, and incident-response practices across logs, metrics, and traces.
- Participate in an on-call rotation for core infrastructure; non-business-hours pages are rare.
What we're looking for
- Six or more years in software development enablement roles such as SRE, platform engineering, or DevEx.
- Experience owning CI/CD platforms end to end, including caching, system design, and developer self-service.
- Hands-on experience with TypeScript or Node.js, Python, Terraform, and Kubernetes; familiarity with Helm.
- Practical experience with observability, including logs, metrics, tracing, monitoring, alerting, and incident management.
- Understanding of LLMs and experience using AI development tools with sound judgment about where they help.
- Experience on fully remote teams and the ability to pass a software-engineer-oriented technical screen.
Bonus points
- Experience building platforms for autonomous AI agents, including harness engineering.
Compensation and benefits
The base salary range is $160,000 to $210,000 USD, plus competitive equity. Canadian compensation bands are lower. Benefits include medical, dental, and vision coverage, flexible vacation, a monthly wellness stipend, and a technology and learning stipend.
Location / work model
This is a fully remote role for candidates based in Canada or the United States who can work U.S. time zones. New visa sponsorship is not available; visa transfers may be considered for exceptional senior candidates.
Skills Required
- Six or more years in software development enablement roles such as SRE, platform engineering, or developer experience
- End-to-end ownership experience of CI/CD platforms, including caching, system design, and developer self-service
- Hands-on experience with TypeScript or Node.js
- Hands-on experience with Python
- Hands-on experience with Terraform
- Hands-on experience with Kubernetes
- Familiarity with Helm
- Practical experience with observability, including logs, metrics, tracing, monitoring, alerting, and incident management
- Understanding of LLMs and experience using AI development tools with sound judgment
- Experience working on fully remote teams
- Ability to pass a software-engineer-oriented technical screen
- Experience building platforms for autonomous AI agents, including harness engineering
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
