Senior AWS DevOps Engineer
AI in this role
Are you passionate about building scalable, secure CI/CD platforms that empower global engineering teams?
Do you thrive in collaborative environments where you can innovate, mentor others, and continuously improve how software is delivered?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
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
Requirements
- Hands-on experience with AWS and infrastructure as code using Terraform and/or AWS CloudFormation
- Strong experience designing and supporting CI/CD platforms, with expertise in Jenkins 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
- 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
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
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How we rate this
Senior AWS DevOps Engineer at RELX rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Skills and AI tools this role asks for
Questions you could be asked
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- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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