R

RWS

AI-powered language services and localization

DevOps Engineer - Foundational Platforms

Cloud Engineering +1Posted on Nov 11
Full-timeNo salary listedRemote

About the Job

Requirements

  • Proven hands-on experience in a DevOps, Cloud or Platform Engineering role, delivering and supporting production workloads on Google Cloud Platform.
  • Practical experience migrating legacy or on-premises applications and infrastructure into cloud environments, including migration planning, risk management, deployment transitions and service continuity.
  • Strong experience with Google Kubernetes Engine, Kubernetes and Docker, including deploying, scaling, troubleshooting and operating containerised applications.
  • Demonstrable experience with Google Cloud SQL, including database provisioning, migration, availability, backups, security and operational performance.
  • Proven experience designing and building continuous integration and continuous delivery pipelines integrated with GitHub, with a strong understanding of continuous integration, automated testing, build quality gates and deployment automation.
  • Strong hands-on experience using Terraform and Terraform Cloud to provision and manage cloud infrastructure, including remote state, workspaces, reusable modules and governed infrastructure changes.
  • Solid knowledge of core Google Cloud Platform services and cloud fundamentals, including identity and access management, networking, security, service accounts, monitoring and cost-aware architecture.
  • Experience implementing production observability, alerting and incident-management practices, with an understanding of system reliability, scalability and recovery.
  • Ability to automate operational tasks using scripting or programming languages such as Python, Bash or PowerShell, and to troubleshoot across infrastructure, deployments and applications.
  • Experience working across multiple engineering teams and engaging Product, Architecture, Security and Operations stakeholders to deliver shared outcomes.

Responsibilities

  • Design, build and operate reliable, secure and scalable Google Cloud Platform environments that support business-critical financial applications and services.
  • Plan and deliver migration of existing legacy applications, infrastructure and databases to Google Cloud Platform using a pragmatic, phased approach that minimises downtime, operational risk and disruption to business services.
  • Deploy, configure and optimise containerised services on Google Kubernetes Engine, improving workload resilience, scalability, maintainability and operational consistency.
  • Implement and support Google Cloud SQL environments, including database migrations, secure connectivity, backups, high availability, performance monitoring and controlled cutovers.
  • Design, build and maintain continuous integration and continuous delivery pipelines integrated with GitHub, embedding continuous integration, automated builds, tests, quality checks and repeatable deployments throughout the software delivery lifecycle.
  • Build and manage infrastructure as code using Terraform and Terraform Cloud, including reusable modules, workspaces, managed state and controlled changes across environments.
  • Work alongside application engineering teams to modernise deployment approaches for legacy and modern applications, including .NET-based workloads where relevant, and enable safe, incremental releases.
  • Embed effective observability and operational practices through logging, metrics, alerting, troubleshooting and incident response to improve the reliability and performance of production services.
  • Apply cloud security and governance standards, including identity and access management, networking, secrets management and appropriate controls for financial systems.
  • Collaborate with stakeholders across Engineering, Architecture, Product, Security, Quality and Operations to coordinate dependencies, resolve technical challenges and deliver shared platform improvements.
  • Create clear technical documentation, deployment guidance and operational runbooks, share knowledge with teams and continuously improve automation, developer experience and delivery efficiency.

Desired Qualifications

  • A pragmatic, delivery-focused approach to complex legacy estates; experience supporting .NET or .NET Framework applications and an interest in developer productivity and automation would be advantageous.

About the Company

RWS

AI-powered language services and localization

RWS Holdings plc provides language services and technology solutions on a global scale for sectors including aerospace, defense, automotive, life sciences, and more. Its offerings span localization, content management, artificial intelligence, and intellectual property, delivered through AI-powered language services paired with human expertise. Clients engage through service contracts and technology licensing to enable multilingual digital experiences and streamline processes. The company differentiates itself by serving a wide range of industries with tailored, compliant solutions that integrate AI, content management, and IP capabilities under one umbrella. Its goal is to help businesses overcome language barriers and optimize operations across multilingual environments.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Chalfont St Peter, United Kingdom
Founded
1958

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