Principal Site Reliability Engineer (AI-first SRE)

What you will do

About Groupon

Groupon is a marketplace where customers discover new experiences and services everyday and local businesses thrive. To date we have worked with over a million merchant partners worldwide, connecting over 16 million customers with deals across various categories. In a world often dominated by e-commerce giants, we stand out as one of the few platforms uniquely committed to helping local businesses succeed on a performance basis.

Groupon is on a radical journey to transform our business with relentless pursuit of results. Even with thousands of employees spread across multiple continents, we still maintain a culture that inspires innovation, rewards risk-taking and celebrates success. The impact here can be immediate due to our scale and the speed of our transformation. We're a "best of both worlds" kind of company. We're big enough to have the resources and scale, but small enough that a single person has a surprising amount of autonomy and can make a meaningful impact.

About the Role

Groupon is modernizing its global platform — and reliability is at the center of that transformation. We’re looking for a Principal Site Reliability Engineer to lead the evolution from reactive maintenance to predictive, AI-driven resilience.
You’ll design intelligent, self-healing systems that prevent incidents before they happen, ensuring our customers enjoy fast, secure, and reliable experiences across millions of daily interactions.

📍Hybrid work model

Key Responsibilities:

• Architect and maintain self-healing systems with 99.9%+ availability targets.
• Use AI/ML to automate infrastructure governance and detect configuration or IaC anti-patterns.
• Implement adaptive SLIs/SLOs that evolve automatically from real-time data.
• Build AIOps-based observability and auto-remediation pipelines.
• Apply predictive modeling to forecast failures before they impact users.
• Lead chaos, performance, and resilience testing programs.
• Map platform and service behavior to revenue impact and drive improved revenue resilience through better infrastructure performance.
• Mentor engineers and drive reliability standards across teams.
• Partner with platform, data, and product teams to ensure stability aligns with business goals.
• Support major incident response, incident review, and participate in on-call rotations.

What Success Looks Like

• 99.9%+ uptime sustained through predictive rather than reactive responses.
• Faster MTTR via automated detection and auto-remediation.
• Reliability insights used in leadership decisions.
• Mentorship leading to stronger reliability practices across teams.

We Are Interested In

• Technologists who see reliability as a product, not just a metric.
• Engineers who use AI/ML as a tool for scale and insight.
• Leaders who can balance innovation speed with operational excellence.
• Engineers who understand the entire e-commerce stack and how it impacts revenue.

Groupon is an AI-First Company
We’re committed to building smarter, faster, and more innovative ways of working—and AI plays a key role in how we get there. We encourage candidates to leverage AI tools during the hiring process where it adds value, and we’re always keen to hear how technology improves the way you work. If you’re passionate about AI or curious to explore how it can elevate your role—you’ll be right at home here.

Groupon’s purpose is to build strong communities through thriving small businesses. To learn more about the world’s largest local e-commerce marketplace, click here. You can also find out more about us in the latest Groupon news as well as learning about our DEI approach. If all of this sounds like something that’s a great fit for you, then click apply and join us on a mission to become the ultimate destination for local experiences and services.

What we offer

What We Offer:

• The opportunity to work with cutting-edge technologies in a transformative environment.
• Professional growth and leadership development pathways tailored to your aspirations.
• A chance to leave a lasting impact by shaping the future of reliable and scalable systems.

Join us to push the boundaries of platform reliability and drive meaningful change in a fast-evolving digital world!

Requirements

Key Requirements:

• 10+ years in software/systems engineering, including 5+ years in SRE or platform reliability.
• Strong experience with GCP (preferred) or AWS, Kubernetes, and Terraform.
• Proficiency in Python or Go for automation and tooling.
• Deep understanding of observability stacks (Prometheus, Grafana, OpenTelemetry) and service meshes (Istio, Envoy).
• Hands-on AIOps experience: anomaly detection, predictive analytics, ML-assisted operations.
• Strong communication and influencing skills — data over hierarchy.

Nice to Have:

• Experience with MLOps or large-scale data infrastructure.
• Exposure to FinOps or cloud cost optimization.
• Previous leadership of global incident response or SRE transformation programs.