Senior Site Reliability Engineer
Quick Summary
Let’s face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can’t cram it all in here, but you’ll start noticing it from the first interview. Even our candidate experience is different.
We do. We can’t cram it all in here, but you’ll start noticing it from the first interview.
Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you’ve ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters.
This makes for a remarkably focused and fulfilling work experience. Frankly, it’s not for everyone. But for people with fire in their belly, it’s a game-changing, career-defining, soul-lifting move.
If that sounds exciting—and the job description below feels like a fit—we really should start talking.
Responsibilities
~1 min read- →
Leverage AI-powered tools and automation to transform how we monitor, troubleshoot, and maintain production systems
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Build and operate cloud infrastructure on AWS, using Terraform to codify and version-control our entire environment
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Manage and scale Kubernetes clusters that power BetterUp's platform, ensuring high availability and performance
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Design intelligent alerting and observability systems
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Collaborate with engineering teams to embed reliability into the development lifecycle, shifting left on operational concerns
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Automate incident response workflows and build self-healing infrastructure
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Experiment with and adopt emerging AI tools for log analysis, anomaly detection, and predictive maintenance
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Drive continuous improvement through data-driven retrospectives and reliability metrics
4+ years of experience in SRE or infrastructure roles
Genuine excitement about AI tooling: you're already using copilots, AI assistants, or LLM-based tools in your workflow and are excited to push your skillset further in this area
Deep experience with AWS
Hands-on Kubernetes experience: deploying, scaling, debugging, and securing clusters
Strong Terraform skills with experience managing complex, multi-environment infrastructure
Familiarity with modern observability stacks (Datadog, Prometheus, OpenTelemetry)
Strong debugging instincts and comfort navigating distributed systems
Clear communication skills - you can explain a production incident to engineers and executives alike
A builder's mindset: you see manual processes as opportunities for automation
Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you’ll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact.
What We Offer
~2 min readLocation & Eligibility
Listing Details
- Posted
- December 17, 2025
- First seen
- May 6, 2026
- Last seen
- May 7, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- May 6, 2026
Signal breakdown
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