Senior Site Reliability Engineer

Job Overview

As a Senior Site Reliability Engineer on our Dublin/EMEA team, you will build and operate the Kubernetes-based platform that hosts internal workflows across the business, with a growing focus on hosting AI-driven workflows reliably in production.

Responsibilities

• Building, operating, and improving our Kubernetes platform , cluster management, networking, security posture, and day-2 operations
• Developing self-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required
• Supporting the platform's readiness to host AI-driven internal workflows reliably at scale
• Troubleshooting and resolving production issues, including participating in a follow-the-sun on-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own
• Contributing to and upholding reliability practices , SLIs/SLOs, error budgets, and operational runbooks
• Improving CI/CD pipelines and infrastructure-as-code practices, including change and release management
• Building and maintaining observability and monitoring coverage for the systems you own
• Mentoring junior engineers and contributing to design and code reviews
• Collaborating with the Staff SRE and Dublin team to align local implementation with the broader global platform strategy

Requirements

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering
• Strong hands-on experience with Kubernetes in production , deployment, networking, security, and troubleshooting
• Experience operating large-scale internal infrastructure platforms in a public cloud, preferably AWS
• Solid experience with infrastructure-as-code (Terraform) and CI/CD pipelines
• Exposure to or interest in building infrastructure that hosts AI/ML or agentic workflows
• Experience with observability platforms and monitoring tools (Grafana, Splunk, APM, or equivalent)
• Comfortable working in a fast-moving, evolving environment with ambiguity around process and tooling
• Effective verbal and written communication skills, with the ability to collaborate across time zones
• Computer Science degree or related field, or equivalent experience

Nice to Have

• Exposure to internal developer platform (IDP) concepts or "platform as a product" thinking
• Hands-on experience with AI agent orchestration, vector databases, model routing, or inference infrastructure
• Multi-cloud experience (AWS plus Azure or GCP)
• Service mesh technologies (Istio, Linkerd) or GitOps tooling (ArgoCD, Flux)
• Kubernetes certifications (CKA, CKS, CKAD) or equivalent cloud certifications
• Experience administering an enterprise-scale SCM platform (GitHub, GitLab, or equivalent)

Benefits

• Annual base salary range: €76,000 - €104,500 EUR
• Equity (where applicable)
• Bonus
• Comprehensive healthcare coverage and financial benefits including paid time off and parental leave