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Technical Lead - Site Reliability Engineering

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-08-29
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
## Technical Lead - Site Reliability Engineering Apply locations:
USA-Raleigh-1 Glenwood Avetime type:
Full time posted on:
Posted Todayjob requisition :
R0118583
** Role Profile:
** We are evolving our Site Reliability Engineering capabilities to strengthen reliability, observability, security, and operational excellence across our Markets and Risk Intelligence division.

As a
** Technical Lead 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.

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.
** Key Responsibilities
** 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.

Collaborate with Architecture and Engineering teams to embed reliability, scalability, security, and observability into system design.

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.

Lead seamless handovers from project delivery into BAU SRE operations by ensuring documentation, readiness, and strong operational practices.

Influence architectural and design decisions through data‐driven cloud cost optimization and efficiency  a technical leader and mentor supporting engineers, shaping engineering standards, and fostering a culture of learning and development.
** PERSON SPECIFICATION
***
* Education:

*** Bachelor’s Degree in Computer Science or related field
** Required skills and experience
*** 10+ years of hands-on technical experience in SRE, Platform Engineering, Infrastructure, or related roles
* Strong experience with
** Azure, including services such as AKS, Azure Container Apps, Virtual Machines, virtual networking (VNet)**, and Azure managed services
* Hands-on experience with
** Kubernetes
* * and containerised platforms
* Strong background in
** Linux systems administrations.
*** Proven experience designing and operating
** observability platforms**, including monitoring, logging, and alerting
* Hands-on experience with
** Datadog
* * for metrics, logs, APM, and alerting
* Strong understanding of
** SRE principles**, including SLOs, error budgets, incident management, and reliability engineering
* Experience working closely with
** architecture and engineering teams
** on system design and delivery
* Solid understanding of
** cloud security principles
** and experience collaborating with security teams
* Experience with
** cloud cost optimisation
** strategies and tooling
* Experience integrating
** AI with observability stacks** (Prometheus, Grafana, ELK, Open Telemetry) for proactive issue detection.
** Good to have Skills
*** Experience or working knowledge of
** AWS
* ** Experience supporting
** multi-cloud
** or hybrid environments
* Exposure to Infrastructure as Code (e.g., Terraform, Cloud Formation)
* Experience in large-scale, complex, or regulated environments
* Knowledge of vector databases and RAG architectures for building internal SRE knowledge assistants.
* Knowledge of Generative AI and LLM platforms (e.g., Claude, Amazon Bedrock)
** Person Specification
*** Strong
** technical authority
** with the ability to influence design and operational decisions
* Highly collaborative, comfortable working across architecture, engineering,…
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