Engineering Manager for Observability​/CI​/CD and Cloud

Engineering Manager for Observability/CI/CD and Cloud

Dublin;
Madrid;
Prague;
Valencia;
Warsaw

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.

At Groupon, we’re rebuilding our platform from the ground up—and AI is at the core of this transformation. We’re looking for a hands‑on, strategic Engineering Manager to own our Observability and CI/CD disciplines, driving the next phase of our digital evolution. This is an opportunity to champion AI‑first engineering practices and modernize mission‑critical infrastructure for 300+ engineers worldwide.

🚀What You’ll Do

• Lead & Inspire:Build and mentor a high‑performing, globally distributed team of CI/CD and Observability engineers (5-10 direct reports), coaching them in cutting‑edge AI‑assisted workflows and best practices.
• Modernize Core Infrastructure:Spearhead the migration from legacy platforms (Jenkins, ELK) to cloud‑native solutions (Git Hub Actions, Google Cloud Logging, GCP Prometheus/Grafana). Eliminate “straggler” pipelines and drive cost‑efficient, reliable operations.
• AI-First Engineering:Operationalize AI tools (Claude Code, Copilot, ChatGPT, etc.) for everything from log analysis and incident summaries to automated infrastructure as code, making AI‑augmented engineering a daily norm.
• Architect & Optimize:Oversee a hybrid tech stack (Kubernetes, Envoy, Terraform, GCP, AWS), ensuring platforms are fast, scalable, and “self‑healing” via LLM integrations.
• Collaborate Globally:Act as a thought leader and cross‑functional partner, advocating for AI‑driven developer experience and collaborating with leaders in SRE, Product, and Cloud.
• Drive Transformation:Deliver strategic projects with tight deadlines and direct business impact, such as the Jenkins‑to‑GHA and ELK‑to‑GCP migrations, while maintaining a high standard of technical excellence and cost efficiency.

🤖The Stack & Tools:

• CI/CD:Jenkins, Git Hub Actions
• Observability:ELK (Elastic, Logstash, Kibana), Prometheus, Grafana, GCP Native Logging, Thanos
• Programming/Scripting:(Nice to have) Java, Golang, Typescript/Node (for pipeline/tooling), Bash
• Generative AI/Automation:Claude Code, Git Hub Copilot, LLMs for log analysis & code generation

🔎What We’re Looking For

• 5+ years’ experience leading infrastructure, Dev Ops, or SRE teams (5+ people), ideally in high‑change, scale‑up environments.
• Deep technical expertise in cloud‑native platforms, observability, infrastructure as code, and CI/CD tooling.
• Proven success operationalizing AI tools within engineering workflows (not just the AI “hype”—real‑world impact).
• Strategic, resilient, and pragmatic approach: ready to own results and thrive under shifting priorities.
• Exceptional communication: able to simplify complexity and effectively partner with C‑level and global teams.
• Bachelor’s or Master’s in Computer Science (or similar)—or equivalent industry experience.
• Track record automating log analysis or incident management using AI.
• Experience managing global, hybrid teams and large‑scale distributed cloud workloads.
• Drive real, high‑visibility change at the heart of a company undergoing major transformation.
• Work on complex technical and operational challenges in a fast‑paced, AI‑first…