Site Reliability Engineers with Kubernetes and AI automation experience will find this role in a fast-growing startup environment.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Handoff via Lever
Why join us?
Handoff is the AI agent that runs a construction company. We help remodelers automate estimating, streamline operations, and win more work - backed by real-time cost data, intuitive design, and workflows that “speak contractor.” With over 10,000 monthly active users and $6B in annualized project volume already flowing through our platform, we’re becoming the trusted partner for the people who build our homes.
We are backed by $25M+ raised from Y Combinator, Initialized, and Greycroft. Our team is distributed across hubs in Austin, São Paulo, and Buenos Aires, and we are deeply focused on building intuitive, high-impact solutions that make a real difference for our users.
Site Reliability Engineer at Handoff
When Handoff is down, a contractor can’t send an estimate or run a job. You’ll own making sure that doesn’t happen: uptime, performance and how we respond when something breaks.
You’ll work across our contractor and supplier products. The architecture that got us here now carries heavier workloads, enterprise SLAs and AI agents working in the background. Your job is to make it hold as we keep growing fast. We expect you to do this with AI: agents and automation should handle the repetitive operational work, so one SRE can cover what used to take a team.
What you'll do:
- Define and track our core reliability metrics and SLOs, report them to the company every week, and act when they slip.
- Make production observable in Datadog, so we catch problems before customers do.
- Cut alert noise and set clear escalation paths.
- Run incident response and on-call. You’ll carry the rotation and part of the job is making it sustainable.
- Lead root-cause analysis and see the fixes through.
- Remove bottlenecks across Kubernetes, our databases and heavy data workloads, and make sure backups and recovery are tested.
- Use AI to automate the work: alert triage, incident investigation, runbooks and routine operations.
- Keep improving through experiments: form a hypothesis, test it on a small slice, measure, and keep what works.
- Work with engineers so new services ship observable and resilient by default.
About You:
- You’ve owned a production system under real load and can walk us through an incident you led and what changed afterwards.
- 3+ years in SRE, infrastructure or backend engineering.
- Strong experience running Kubernetes on AWS, with infrastructure as code. We use tools like Terraform, Flux and Helm.
- Hands-on with metrics, logs and traces. We use Datadog.
- You’ve operated relational databases in production: query performance, replication and backups.
- You use AI tools such as Claude and Codex every day to automate what you’d otherwise do twice.
- You back changes with data, and can tell us about one you rolled back because the numbers didn’t move.
- You’ve been on-call before, stay calm in an incident and write clearly about what happened.
- Startup experience is a must. Having been the first or only SRE is a strong plus.
What we offer:
- 💸 Competitive salary in USD
- 💰 Attractive stock options
- 🌴 Unlimited PTO
- 🚛 Relocation allowance
- 👨💻 Top-notch equipment
- 🧳 Team offsites around the world!
We’re especially excited about engineers who treat reliability as part of the product: something customers feel every day and the team can build on.
Please note that we will only consider applications submitted in English.
Source: Handoff careers (Lever)