RELX

Senior Cloud DevOps Engineer

Philippines · Work style not stated · Full time

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About the role

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EmployerRELX
LocationPhilippines
Work styleWork style not stated
Employment typeFull time
Employer posted6 Oct 2026

About the Role
As a Senior AWS DevOps Engineer, you will play a key role in shaping and evolving a global CI/CD platform. You will partner with engineering teams to build secure, scalable, and reliable delivery pipelines, leveraging infrastructure as code, automation, and modern DevOps practices. This role offers the opportunity to influence platform standards, improve developer experience, and enable efficient, consistent software delivery across cloud environments.

Responsibilities

Design, build, and maintain infrastructure as code using Terraform and/or AWS CloudFormation
Develop and support Jenkins shared libraries, pipeline templates, and reusable deployment patterns
Support the migration of legacy pipelines to standardized CI/CD approaches with clear documentation and best practices
Integrate automated security, quality, and compliance checks into CI/CD pipelines and improve observability using tools such as Open Telemetry
Build and support Python-based tooling, packages, and automation to enhance platform capabilities and developer experience
Collaborate with application teams to design CI/CD flows aligned with platform standards
Provide operational support for pipelines and platform components, including critical incident support when needed
Mentor team members and contribute to a collaborative culture of continuous improvement

Show full description

Requirements

Atleast a bachelor’s degree
Hands-on experience with AWS and infrastructure as code using Terraform and/or AWS CloudFormation (Atleast 3 years)
Strong experience designing and supporting CI/CD platforms, with expertise in Jenkins (or Github Actions) and modernizing pipelines
Strong Python skills, including building reusable tooling and automation and have a good understanding of container and deployment practices such as Docker, ECR, GitOps, and blue/green deployments. Knows python coding and testing practices
Experience integrating security, quality, and compliance controls into engineering workflows
Experience improving observability using Open Telemetry or similar monitoring practices
Strong troubleshooting skills with experience supporting platform and pipeline issues, including critical incidents
Strong communication, collaboration, and documentation skills, with experience working across global teams
Practical experience using AI tools in engineering workflows to improve productivity and delivery outcomes
Experience with GitHub Actions and/or Azure DevOps, and exposure to Kubernetes including troubleshooting in containerized environments
Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives

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