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Thomson Reuters

Legal, financial data, and media services

Junior DevOps Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeWillingham, UKNo salary listed

About the Job

Requirements

  • Working knowledge of at least one major public cloud, AWS or Azure, and genuine interest in learning the other.
  • Scripting ability in PowerShell and/or Python, with willingness to become comfortable in both.
  • Familiarity with SQL and relational databases, sufficient to read and write queries against a live system.
  • Experience with Git version control and understanding of branching and pull request review.
  • Comfort working with XML and JSON and calling REST APIs.
  • Strong analytical and troubleshooting skills, with a methodical approach to isolating problems.
  • Clear written and verbal communication, including communication with non-technical stakeholders, and confidence asking questions early.
  • Good organisational skills and ability to manage several pieces of work while keeping people updated on progress.

Responsibilities

  • Learn to deploy, configure, troubleshoot, and maintain Imagen platform installations across multiple cloud environments, and diagnose issues across the application, database, storage, network, and infrastructure stack.
  • Onboard new Reuters content partners by configuring ingest pipelines, writing and testing XSLT mappings that transform partner metadata into the format Imagen ingests, and validating that content reaches Reuters Connect correctly.
  • Integrate customer Imagen systems with Reuters Connect by following established procedures for platform configuration, API credentials, storage, workflows, and delivery profiles.
  • Maintain and extend infrastructure as code in Terraform and the CI/CD pipelines that deploy serverless ingest functions.
  • Build bespoke automation around customer platforms, including watch folders, event-driven ingest pipelines, integrations with customer and third-party APIs, and Python and PowerShell scripts that automate manual work.
  • Investigate failed ingests and platform incidents using logs, metrics, and API responses, resolve them, and feed fixes back into code or documentation to prevent recurrence.
  • Plan and run media migrations, moving large archives and their metadata between platforms and storage providers, and support decommissioning legacy systems.
  • Document work and learning on the internal wiki and in the repositories used.
  • Work directly with Reuters content partner managers and internal stakeholders to understand requests, agree on requirements, and keep them informed.

Desired Qualifications

  • Experience with infrastructure as code, ideally Terraform.
  • Experience with CI/CD pipelines, ideally GitHub Actions.
  • Experience with XSLT and XPath or transforming data between schemas.
  • Windows Server administration, IIS, and Linux fundamentals.
  • Knowledge of core AWS services, including EC2, S3, Lambda, SQS, IAM, Secrets Manager, and CloudWatch.
  • Networking fundamentals, including DNS, TLS and certificates, firewalls, VPNs, and load balancing.
  • Experience with containers and orchestration, including Kubernetes, EKS, or AKS.
  • Web server configuration with Apache.
  • Monitoring, alerting, and log analysis.
  • Interest in video and media technology, including codecs, containers, transcoding, and delivery formats.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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