SRE Observability Analyst

In this role you will strengthen production reliability by building reusable automation and recovery frameworks for Citi’s central SRE enablement team within Services Production. You’ll partner with SREs, developers, and platform teams to reduce operational toil and improve incident response across the enterprise. The work involves automation, tooling, and standards adoption to support LoB teams at scale, with opportunities to influence how production systems are designed and operated. This is a hands-on engineering position that emphasizes learning, collaboration, and continuous improvement in a high-impact fintech environment.

• 27 days annual leave (plus bank holidays)
• discretionary annual performance bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave

• Deliver reusable automation solutions and reliability frameworks to reduce operational burden
• Automate toil and build internal tooling in Python, Go or similar; set and measure toil-reduction goals
• Identify automation opportunities with SREs across Services; share reusable tooling and improve standards adoption
• Maintain and contribute to central production engineering backlog using Jira; prioritize workstreams
• Review architecture and production-readiness for new services; partner with developers on reliability best practices
• Develop utilities, scripts, and templates to improve production support efficiency and reduce manual intervention
• Engage in Services Production Engineering Forum to share knowledge and resolve challenges

• SRE or engineering experience focused on automation, resiliency, and tooling
• Proficiency in scripting/automation languages (e.g., Python, Bash, Terraform, Ansible, YAML)
• Strong understanding of CI/CD, Agile delivery, and reliability integration into pipelines
• Experience with hybrid platforms (on-prem, cloud, containers like ECS/Kubernetes)
• Experience with cloud platforms (AWS, Azure, GCP) and monitoring tools (Splunk, Grafana, Datadog, ELK Stack, etc.)
• Familiarity with issue tracking and problem management tools (e.g., Jira) and incident lifecycle
• Strong communication skills to convey technical information to technical and non-technical stakeholders
• Curiosity and adaptability with a continuous learning mindset

• Strong communication
• Collaborative mindset
• Curiosity
• Automation tooling in Python or Go
• Cloud platforms (AWS/Azure/GCP)
• Monitoring and observability (Splunk, Grafana, Datadog, ELK)