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LSEG

Global financial market infrastructure and data

Technical Lead - Site Reliability Engineering

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeTaguig, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or a related field is required.
  • At least 10 years of hands-on technical experience in Site Reliability Engineering, Platform Engineering, Infrastructure, or related roles is required.
  • Strong experience with Amazon Web Services, including EKS, ECS, EC2, networking, IAM, and managed services is required.
  • Deep hands-on experience with Kubernetes and containerized platforms is required.
  • Proven experience designing and operating observability platforms, including monitoring, logging, and alerting, is required.
  • Hands-on experience with Datadog for metrics, logs, application performance monitoring, and alerting is required.
  • Strong understanding of Site Reliability Engineering principles, including service-level objectives, error budgets, incident management, and reliability engineering, is required.
  • Experience working closely with architecture and engineering teams on system design and delivery is required.
  • A solid understanding of cloud security principles and experience collaborating with security teams is required.
  • Experience or working knowledge of FinOps practices, including monitoring, optimizing, and controlling costs associated with machine learning models and application programming interface-based artificial intelligence services, is required.
  • Hands-on experience integrating artificial intelligence with observability stacks such as Prometheus, Grafana, ELK, and OpenTelemetry for proactive issue detection is required.
  • Strong technical authority and the ability to influence design and operational decisions are required.
  • The candidate must be comfortable working across architecture, engineering, security, and operations teams.
  • The candidate must remain calm and methodical under pressure, especially during incidents and critical issues.
  • The candidate must be able to balance reliability, security, cost, and delivery speed in problem-solving.
  • The candidate must be able to explain complex technical concepts to diverse audiences.

Responsibilities

  • Establish Site Reliability Engineering foundations for new projects by building environments, monitoring, and 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 service-level indicators and objectives.
  • Design and evolve monitoring and alerting solutions to improve visibility, reduce toil, and strengthen system health.
  • Drive reliability improvements across environments through incident reduction, performance tuning, and resilient patterns.
  • Partner with Security teams to ensure platforms meet compliance, security, and risk-management expectations.
  • Lead handovers from project delivery into business-as-usual Site Reliability Engineering operations by ensuring documentation, readiness, and strong operational practices.
  • Influence architectural and design decisions through data-driven cloud cost optimization and efficiency initiatives.
  • Provide technical leadership and mentorship to engineers, shape engineering standards, and foster learning and development.

Desired Qualifications

  • Experience or working knowledge of Langfuse administration and observability.
  • Experience supporting multi-cloud or hybrid environments.
  • Exposure to Infrastructure as Code tools such as Terraform and CloudFormation.
  • Experience in large-scale, complex, or regulated environments.
  • Knowledge of vector databases and retrieval-augmented generation architectures for building internal Site Reliability Engineering knowledge assistants.
  • Knowledge of generative artificial intelligence and large language model platforms such as Claude and Amazon Bedrock.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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