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Lead the AI-Driven Evolution of Groupon’s Global Engineering Platform. 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.
Job Responsibility:
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 (GitHub 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
Requirements:
5+ years’ experience leading infrastructure, DevOps, 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
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
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