SRE Observability Analyst
Role Overview
Hands-on engineering role in a central SRE enablement team within Services Production.
Works with SREs, developers, and platform teams to improve production reliability through reusable automation, recovery frameworks, and enterprise-wide initiatives.
Key Skills for This Role
Full Job Posting
Role overview
Hands-on engineering role in a central SRE enablement team within Services Production.
Works with SREs, developers, and platform teams to improve production reliability through reusable automation, recovery frameworks, and enterprise-wide initiatives.
Key responsibilities
- Deliver reusable automation solutions and reliability frameworks to reduce operational burden.
- Automate toil, develop internal tools, and measure toil-reduction goals.
- Identify automation opportunities and promote reusable tooling and production engineering standards.
- Maintain and prioritize the production engineering backlog using Jira.
- Review service architecture and production readiness; advise developers on reliability practices.
- Build utilities, scripts, and templates that reduce manual production support.
- Collaborate in the Services Production Engineering Forum to share knowledge and resolve common challenges.
Qualifications
- Experience in SRE or engineering focused on automation, resiliency, and tooling.
- Proficiency in one or more scripting or automation languages, such as Python, Bash, Terraform, Ansible, or YAML.
- Strong understanding of CI/CD workflows, Agile delivery, and reliability integration into development pipelines.
- Familiarity with capacity planning, telemetry, and production-data-led service improvements.
- Experience supporting or developing tools across on-premises, cloud, and container platforms such as ECS or Kubernetes.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Technical knowledge and skills
- Foundational AI/ML knowledge, including machine-learning models, NLP, and data pipelines.
- Experience with AWS, Azure, or Google Cloud Platform and monitoring tools such as Splunk, ITRS, Grafana, GCO, ELK Stack, or Datadog.
- Knowledge of SRE principles, system reliability, availability, and stability practices.
- Experience with issue-tracking and problem-management tools.
- Clear written and verbal communication; curiosity, adaptability, and an interest in continuous learning.
Benefits and working model
- The description states a hybrid working model with up to two days working at home per week.
- The base salary is reviewed annually; no salary amount is provided in the supplied description.
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