Principal Site Reliability Engineer (AI-first SRE) - Remote

Overview

Groupon is a marketplace where customers discover new experiences and services every day 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.

In Short

• 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.

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.

Benefits

• 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.