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# SRE Observability Analyst

- **Company:** Citigroup Inc.
- **Location:** Belfast, United Kingdom (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Continuous Integration, Monitoring of Systems, Issue Tracking Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Operational Databases, Reliability Engineering, Ansible, Working Model 2D, YAML, Datadog, Scripting, Google Cloud, Cloud Platform System, Delivery Pipeline, Grafana, Reliability of Systems, Kubernetes, Information Technology, Terraform, Splunk, Data Pipelines, Elk Stack
- **Published:** November 5, 2026
- **Apply:** https://citi.wd5.myworkdayjobs.com/2/job/Belfast--United-Kingdom/SRE-Observability-Analyst_261006801/apply

## About the Role

* Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

 * Familiarity with monitoring tools such as Splunk, ITRS, Grafana, GCO, ELK Stack, Datadog, with the ability to use these platforms to detect, investigate, and resolve issues.

 * Knowledge of Site Reliability Engineering (SRE) principles, with an understanding of system reliability, availability, and stability practices.

 * Experience using issue tracking and problem management tools to log, report, and manage incidents through to resolution.

 * Clear and concise written and verbal communication skills, with the ability to convey technical information to both technical and non-technical stakeholders.

Beneficial Skills & Qualifications

 * Scripting ability in Python or similar languages, supporting automation, diagnostics, or tooling improvements within the support function.

 * Understanding of financial markets and products, providing useful context when supporting trading or business-facing applications.

 * Experience contributing to process improvement or standardization initiatives within a technology support environment.

 * Familiarity with how application support integrates across broader technology functions, and an awareness of its commercial impact.

Qualifications:

 * Experience in SRE or Engineering roles with a strong focus on automation, resiliency, and tooling.

 * Proficiency in one or more scripting or automation languages (e.g., Python, Bash, Terraform, Ansible, YAML).

 * Strong understanding of CI/CD workflows, Agile delivery, and reliability integration into development pipelines.

 * Familiarity with capacity planning, telemetry, and using production data to improve service operations.

 * Experience supporting or developing tools across hybrid platforms (on-prem, cloud, and containers like ECS/Kubernetes).

 * Good communication skills

 * Curiosity and adaptability - a strong interest in experimentation, innovation, and continuous learning in the SRE domain.

Education:

 * Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

## Description

* Contribute to the delivery of reusable automation solutions and reliability frameworks to support LoB teams and reduce operational burden.

 * Automate toil and build internal tooling in Python, Go or similar; set and measure toil-reduction goals

 * Work with SREs across Services to identify automation opportunities, share reusable tooling, and improve adoption of production engineering standards.

 * Maintain and contribute to the central production engineering backlog using Jira, helping prioritize and organize workstreams aligned to Services Technology needs.

 * Review architecture and production-readiness for new services; partner with developers on reliability best practices

 * Support the development of utilities, scripts, and templates to improve production support effectiveness and reduce manual intervention.

 * Engage in the Services Production Engineering Forum, collaborating with other engineers to share knowledge and resolve common challenges.

 * Strong foundational knowledge of AI/ML concepts, including machine learning models, natural language processing (NLP), and data pipelines.