Senior Site Reliability Engineer

London Stock Exchange; Nottingham; Hybrid; GBP 95,000 - 125,000; Full time

Job summary

The London Stock Exchange is seeking a Senior Site Reliability Engineer to strengthen reliability across Risk Intelligence platforms. You will lead SRE foundations for new projects, define observability standards, and mentor engineers to ensure robust, secure, and scalable systems from day one.

You will collaborate with Architecture, Engineering, Security, and Platform teams, championing cost-efficiency and multi-cloud resilience while maintaining high service reliability in a demanding

Qualifications

• Bachelor’s degree or equivalent in CS/Engineering or related field.
• Experience with cloud cost optimization strategies and tooling.
• Hands-on Datadog for metrics, logs, APM, and alerting.
• Strong AWS (or Azure) experience including EKS, ECS, EC2, IAM.
• Solid knowledge of SRE principles: SLOs, incident management, reliability.
• Design and operation of observability platforms (monitoring, logging, alerting).
• Cloud security principles and collaboration with security teams.
• 5+ years in SRE, Platform Engineering, or related roles.
• LX experience with Linux system administration.
• Ability to influence architecture and operational decisions.
• Calm under pressure during incidents; clear communicator.
• Collaborative across architecture, engineering, security, and ops.
• Experience with IaC (Terraform/CloudFormation) and multi-cloud.
• Experience in large-scale, regulated environments.
• Knowledge of vector DBs and RAG for internal SRE tools.
• Familiar with Generative AI / LLM platforms.

Responsibilities

• Lead the establishment of SRE foundations for new projects with monitoring and readiness from day one.
• Define and champion observability standards, tooling, and guidelines across metrics, logs, traces, and SLOs.
• Design and evolve monitoring and alerting solutions to improve visibility and reduce toil.
• Drive reliability improvements through incident reduction and performance tuning.
• Partner with Security teams to meet compliance, security, and risk-management expectations.
• Influence architectural and design decisions via data-driven cost optimization.
• Mentor engineers, shape engineering standards, and foster learning and development.

Skills

Cloud cost optimization

Datadog

AWS

EKS

ECS

EC2

IAM

SRE principles

SLOs & error budgets

Incident management

Observability platforms

Linux administration

Collaboration with architecture

IaC (Terraform)

IaC (CloudFormation)

Multi-cloud / hybrid

Vector databases knowledge

RAG architectures

Generative AI / LLM

Education

Bachelor's degree or equivalent in Computer Science or Engineering

Tools

Datadog

AWS

Terraform

CloudFormation

Claude/Bedrock (LLM platforms)

Job description

• We are evolving our Site Reliability Engineering capabilities to strengthen reliability, observability, security, and operational excellence across our Risk Intelligence division
• As a Senior SRE, you will be a senior hands‑on technical person help shape the foundations of reliability across both new and existing platforms
• You will collaborate with Architecture, Engineering, Security, and Platform teams to ensure reliability is built into systems from day one
• While this is not a people‑management you will work closely with global teams and may occasionally be called upon for major incidents or critical issues
• This position requires a highly proactive, hard-working expert with strong leadership presence and ownership of platform reliability outcomes
• We are looking for a person who is passionate about reliability engineering and who bring a continuous improvement approach to everything they do!
• Lead the establishment of SRE foundations for new projects building environments, monitoring, alerting, and ensuring operational readiness from day one
• Define, implement, and champion observability standards, tooling, and guidelines across metrics, logs, traces, and SLIs/SLOs
• Design and evolve monitoring and alerting solutions that improve visibility, reduce toil, and strengthen system health
• Continuously drive reliability improvements across our environments through incident reduction, performance tuning, and building resilient patterns
• Partner with Security teams to ensure our platforms meet compliance, security, and risk‑management expectations
• Influence architectural and design decisions through data‑driven cloud cost optimization and efficiency initiatives
• Be a technical leader and mentor supporting engineers, shaping engineering standards, and fostering a culture of learning and development

Bachelor’s Degree or equivalent experience in Computer Science, Engineering, or a related fieldExperience with cloud cost optimization strategies and toolingHands-on experience with Datadog for metrics, logs, APM, and alertingStrong experience with AWS (or Azure), including services such as EKS, ECS, EC2, networking, IAM, and managed servicesStrong understanding of SRE principles, including SLOs, error budgets, incident management, and reliability engineeringProven experience designing and operating observability platforms, including monitoring, logging, and alertingSolid understanding of cloud security principles and experience collaborating with security teams5+ years of hands‑on technical experience in SRE, Platform Engineering, Infrastructure, or related rolesStrong background in Linux systems administrationsExperience working closely with architecture and engineering teams on system design and deliveryStrong technical authority with the ability to influence design and operational decisionsCalm and methodical under pressure, especially during incidents and critical issuesClear communicator, able to explain complex technical concepts to diverse audiencesHighly collaborative, comfortable working across architecture, engineering, security, and operations teamsPragmatic problem-solver who balances reliability, security, cost, and delivery speedExperience supporting multi-cloud or hybrid environmentsExposure to Infrastructure as Code (e.g., Terraform, CloudFormation)Experience in large-scale, complex, or regulated environmentsKnowledge of vector databases and RAG architectures for building internal SRE knowledge assistantsKnowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)