# Senior Engineer,  Site Reliability Engineering at LSEG

LSEG is hiring a Senior Engineer,  Site Reliability Engineering. Level rates it Little AI ●○○○; you can [apply on LSEG](https://jobsbylevel.com/go/c489686f-18aa-4f9d-abbf-e3c050eac77b?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. IND-BLR-Divyasree Technopolis.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 10 out of 100)
- Location: IND-BLR-Divyasree Technopolis
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/c489686f-18aa-4f9d-abbf-e3c050eac77b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-engineer-site-reliability-engineering-at-lseg-b9691c

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## Description

Role summary As a Senior Site Reliability Engineer (SRE), you’ll provide deep reliability and operational expertise for business-critical cloud services. You’ll help set the reliability strategy (for example, defining SLOs and error budgets), design the observability and automation that keep services balanced, and lead improvements that reduce operational risk and customer impact. This role suits people who enjoy solving complex production problems and raising the standard for engineering excellence—regardless of whether your background is SRE, DevOps, Platform Engineering, Systems Engineering, or Software Engineering with strong operations experience. On-call: You’ll take part in a 24x7 team on-call rotation. As a senior specialist, you’ll help improve how we run on-call by reducing noisy alerts, automating repetitive tasks, and strengthening operational readiness so incidents become less frequent and easier to resolve. From time to time, this may include planned out-of-hours maintenance to support a highly available service. We aim to share the load fairly and continuously improve the on-call experience. Key responsibilities Own reliability outcomes for critical user journeys and cloud components by defining SLIs/SLOs, setting error budgets, and using data to prioritise resilience work. Design observability standards (metrics, logs, traces, dashboards, alerting) using tools such as Datadog and AWS CloudWatch so teams can detect issues early and diagnose them quickly. Lead major incident response as incident commander when needed, drive blameless post-incident reviews, and ensure corrective actions are implemented and measured. Improve platform resilience and scalability through reliability architecture reviews, capacity and performance engineering, and proactive risk assessments. Reduce toil by automating repetitive operational work (for example with Terraform, CI/CD, and scripting), and track improvements through clear operational metrics. Partner with Product, Engineering, Customer Support, Security, and leadership to balance reliability, feature delivery, compliance obligations, and customer impact. Create and maintain operational documentation, runbooks, and change procedures, and raise standards through reviews, templates, and shared practices. Coach and mentor engineers, helping teams adopt SRE ways of working and strengthening operational ownership. What you’ll bring Significant experience in SRE/DevOps/Platform Engineering (or equivalent practical experience) supporting production services and making reliability improvements that stick. Demonstrated ownership of reliability practices such as SLOs, error budgets, incident management, post-incident actions, and operational readiness. Strong AWS knowledge and hands-on experience operating cloud services (for example: EKS, Lambda, SQS, API Gateway, DocumentDB, RDS/MySQL, and CloudWatch/CloudWatch Insights). Experience with infrastructure-as-code and automation (for example, Terraform) and with CI/CD pipelines (for example, GitLab CI/CD). Experience with Kubernetes, including production operations on managed platforms such as Amazon EKS. Ability to script to automate and solve (for example, Python and/or JavaScript), with an engineering approach to testing, review, and maintainability. Experience building actionable monitoring and alerting that balances sensitivity and noise (for example, Datadog and CloudWatch). Confidence presenting, staying calm during incidents, and influencing teams through data, clear writing, and pragmatic recommendations. Good to have Skills: Experience operating Kubernetes clusters beyond day-to-day use (upgrades, networking, security, policy, and multi-tenant considerations). Experience with performance testing, load testing, and capacity modelling for cloud-native services. Software engineering experience in Python and/or JavaScript beyond scripting (testing, packaging, code reviews). Experience improving observability practices at scale (for

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