Role Overview :

A senior, customer-facing SRE who owns the reliability of a client's production systems end-to-end. Embedded as the main technical point of contact, you will design reliable infrastructure, lead incidents, apply AI-assisted operations, and mentor the team.

Key Responsibilities :

- Own the reliability of production systems for one or more enterprise customers on AWS.

- Define and manage SLIs, SLOs, and error budgets, and ensure monitoring provides meaningful insight.

- Lead the response to serious (P0/P1) incidents and run blameless post-mortems that lead to fixes.

- Lead within the on-call rotation.

- Operate and optimise Kubernetes clusters and AWS services as workloads grow.

- Introduce AI SRE tooling and AIOps where it speeds up triage and resolution, with appropriate guardrails.

- Advise customers on improving their reliability practices, and mentor associate engineers.

- Share field learnings with product and engineering teams.

Required Qualifications :

- Substantial SRE experience with real ownership of production reliability on AWS.

- Experience running Kubernetes and AWS services at scale.

- A track record of defining and managing SLIs, SLOs, and error budgets.

- Strong observability practice.

- Proven incident leadership and post-mortem facilitation.

- Strong automation skills (Python, Go, or Bash).

- Hands-on understanding of AI-assisted operations, including introducing AI SRE tooling with sensible guardrails.

- AWS certification at Associate level as a minimum.

Tech Stack :

- Cloud (AWS) : EC2, EKS, ECS, Lambda, S3, RDS, VPC, IAM, CloudWatch, ELB/ALB, Route 53.

- Containers & orchestration : Docker, Kubernetes (EKS), Helm.

- Observability & monitoring : Prometheus, Grafana, Datadog, OpenTelemetry, Loki, Tempo/Jaeger, ELK/Elastic.

- Automation & scripting : Python, Go, Bash, Git.

Soft Skills :

- Confident, customer-facing communication.

- Calm, decisive incident leadership.

- Mentors and raises standards across the team.

- Sound technical judgement.