DevOps Engineer

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Requirements

  • 5–10 years experience in Cloud/DevOps/SRE with hands-on delivery on Google Cloud Platform (GCP)
  • Strong Infrastructure as Code skills with Terraform (modules, state management, policy controls)
  • CI/CD implementation experience (Cloud Build/Jenkins/GitHub Actions/GitLab) with automated testing and promotion
  • Containers and orchestration: Docker, Kubernetes (GKE), Helm (or equivalent deployment tooling)
  • MLOps fundamentals and tooling exposure (Vertex AI preferred): model registry, deployment patterns, monitoring/drift concepts
  • DataOps/pipeline orchestration experience (Cloud Composer/Airflow) and strong SQL knowledge (BigQuery preferred)
  • Strong programming/scripting skills (Python, Bash) and solid Linux fundamentals

Preferred Qualifications

  • Experience in banking or other regulated environments (controls, audit, SDLC, change management)
  • GCP certifications (e.g., Professional Cloud DevOps Engineer, Professional Data Engineer, Professional Machine Learning Engineer)
  • Experience with platform engineering patterns (golden paths, self-service, reusable modules/templates)
  • Experience with data modeling and analytics engineering
  • Strong problem-solving and analytical skills
  • Automation and reliability mindset
  • Good communication and collaboration skill

#J-18808-Ljbffr”, “datePosted”: “2026-05-07”, “hiringOrganization”: { “@type”: “Organization”, “name”: “HCLTech”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__425532211__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=918” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Leeds” } } }
Company: HCLTech
Apply for the DevOps Engineer
Location: Leeds
Job Description:

Requirements

  • 5–10 years experience in Cloud/DevOps/SRE with hands-on delivery on Google Cloud Platform (GCP)
  • Strong Infrastructure as Code skills with Terraform (modules, state management, policy controls)
  • CI/CD implementation experience (Cloud Build/Jenkins/GitHub Actions/GitLab) with automated testing and promotion
  • Containers and orchestration: Docker, Kubernetes (GKE), Helm (or equivalent deployment tooling)
  • MLOps fundamentals and tooling exposure (Vertex AI preferred): model registry, deployment patterns, monitoring/drift concepts
  • DataOps/pipeline orchestration experience (Cloud Composer/Airflow) and strong SQL knowledge (BigQuery preferred)
  • Strong programming/scripting skills (Python, Bash) and solid Linux fundamentals

Preferred Qualifications

  • Experience in banking or other regulated environments (controls, audit, SDLC, change management)
  • GCP certifications (e.g., Professional Cloud DevOps Engineer, Professional Data Engineer, Professional Machine Learning Engineer)
  • Experience with platform engineering patterns (golden paths, self-service, reusable modules/templates)
  • Experience with data modeling and analytics engineering
  • Strong problem-solving and analytical skills
  • Automation and reliability mindset
  • Good communication and collaboration skill

#J-18808-Ljbffr…

Posted: May 7th, 2026