Site Reliability Engineer
Join HappyRobot as a Site Reliability Engineer to enhance operational resilience and improve system uptime in a high-impact role.
Posted by employer 4 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Our AI workers make decisions, take action, and run operations autonomously across enterprise systems.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In the role of Site Reliability Engineer at HappyRobot, the individual will focus on enhancing operational resilience by managing system stability and debugging workflows. Key skills include strong proficiency in Go and Kubernetes, along with experience in observability tools like Grafana and Prometheus. This position is ideal for someone with over three years of experience in production systems, particularly those who thrive in high-impact environments and enjoy solving complex problems. HappyRobot, a rapidly growing startup backed by prominent investors, emphasizes a culture of ownership and craftsmanship.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on HappyRobot's careers page October 27, 2026.
- Kubernetes appears in 63.8% of 218 comparable mid devops/sre roles; Grafana appears in 15.6% of 218 comparable mid devops/sre roles.
Quick facts
- How much experience is required?
- At least 3 years of relevant experience for this Site Reliability Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Grafana, Kubernetes, Prometheus, Sentry.
- What seniority level is this role?
- HappyRobot targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Site Reliability Engineer role at HappyRobot.
From the original posting
About the Role
We're looking for a Site Reliability Engineer to take the lead on scaling our operational resilience as we grow. You’ll own the stability, observability, and debugging workflows that keep our systems running smoothly. You'll be the go-to person for untangling complex failures in real time, designing tools that turn chaos into clarity, and helping us shift from reactive to proactive operations.
This is a high-impact, high-trust role where you’ll shape how reliability is done - reducing incident load, building internal tooling, and directly improving developer focus and system uptime. If you love getting to the root of hard problems and making systems (and teams) stronger, this is your moment.
Must-Have
3+ years of hands-on experience debugging production systems (logs, traces, incidents, etc.)
Strong problem-solving skills and ability to dive into unfamiliar backend codebases
Strong Go and Kubernetes experience.
Familiarity with observability and monitoring tools (e.g., Grafana, Prometheus, Sentry)
Clear, calm communication under pressure — especially during live incidents
Nice-to-Have
Experience working with distributed systems or services at scale
Built or maintained internal tooling for on-call teams or reliability workflows
Familiarity with deployment pipelines, CI/CD, or infra-as-code
Experience improving system observability (e.g., custom metrics, traces, log pipelines)
Why join us?
Join a world-class team of engineers and builders.
Comprehensive Benefits including healthcare, dental, vision coverage.
Our Operating Principles
Extreme Ownership
Craftsmanship
For more information, visit https://www.happyrobot.ai/privacy-policy
Standard company text repeated across HappyRobot's postings is omitted here.