Senior Site Reliability Engineer

Jobtailor; Ireland; On-site; EUR 70,000 - 120,000; Full time

Job summary

Jobtailor is seeking an experienced Site Reliability Engineer to help scale and secure our production platform. You will participate in on-call rotations, lead incident response, and partner with product teams to improve reliability and deploy safely.

You have hands-on experience with AWS, Kubernetes, IaC (Terraform), and observability tooling. You will automate toil and improve runbooks, dashboards, and alerting to reduce incidents over time.

Qualifications

• 3–6+ years in SRE, DevOps, Platform, or operations-heavy roles.
• Experience supporting production systems and participating in on-call rotations.
• Comfortable debugging live systems under pressure.
• Experience operating cloud infrastructure (AWS preferred).
• Working knowledge of Kubernetes and containerised workloads.
• Infrastructure as Code experience (Terraform or similar).
• Familiarity with monitoring and alerting tools (Datadog, Prometheus, etc).
• Scripting or automation experience (Python, Bash, or similar).

Responsibilities

• Participate in on-call and incident response: Respond to production incidents, contribute to service restoration, and support clear communication during incidents.
• Improve operational reliability: Identify recurring issues and reliability risks, and drive fixes through better alerting, automation, system changes, or process improvements.
• Own parts of the production environment: Operate and improve Kubernetes clusters, cloud infrastructure, and core platform services, with growing ownership as familiarity increases.
• Strengthen observability: Improve dashboards, alerts, logs, and traces so issues are detected earlier and diagnosed faster, with a strong focus on actionable signals.
• Reduce operational toil: Automate repetitive tasks, simplify runbooks, and improve tooling to make on‑call and day‑to-day operations easier and safer.
• Support safe change: Improve deployments, rollback mechanisms, and operational readiness to reduce the risk of incidents caused by change.
• Contribute to operational practices: Write and maintain runbooks, participate in blameless post‑mortems, and help improve incident response processes over time.
• Collaborate closely with engineers: Work with product and feature teams to improve production readiness, service ownership, and reliability expectations.

Skills

SRE

DevOps

Kubernetes

AWS

Python

Tools

Terraform

Prometheus

Datadog

Job description

Responsibilities

• Participate in on‑call and incident response: Respond to production incidents, contribute to service restoration, and support clear communication during incidents. Over time, take increasing responsibility for leading incidents end‑to‑end.
• Improve operational reliability: Identify recurring issues and reliability risks, and drive fixes through better alerting, automation, system changes, or process improvements.
• Own parts of the production environment: Operate and improve Kubernetes clusters, cloud infrastructure, and core platform services, with growing ownership as familiarity increases.
• Strengthen observability: Improve dashboards, alerts, logs, and traces so issues are detected earlier and diagnosed faster, with a strong focus on actionable signals.
• Reduce operational toil: Automate repetitive tasks, simplify runbooks, and improve tooling to make on‑call and day‑to‑day operations easier and safer.
• Support safe change: Improve deployments, rollback mechanisms, and operational readiness to reduce the risk of incidents caused by change.
• Contribute to operational practices: Write and maintain runbooks, participate in blameless post‑mortems, and help improve incident response processes over time.
• Collaborate closely with engineers: Work with product and feature teams to improve production readiness, service ownership, and reliability expectations.

Requirements

• 3–6+ years in SRE, DevOps, Platform, or operations‑heavy engineering roles.
• Experience supporting production systems and participating in on‑call rotations.
• Comfortable debugging live systems under pressure.
• Experience operating cloud infrastructure (AWS preferred).
• Working knowledge of Kubernetes and containerised workloads.
• Infrastructure as Code experience (Terraform or similar).
• Familiarity with monitoring and alerting tools (Datadog, Prometheus, etc).
• Scripting or automation experience (Python, Bash, or similar).