DevOps Engineer (Based in Dubai)

Salt; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading tech firm in Greater London is seeking a hands-on Lead DevOps Engineer to drive platform engineering standards and automation across data, AI, and application workloads. The ideal candidate will have over 10 years of experience in DevOps, with strong expertise in Kubernetes, CI/CD tools, and security practices. You will work closely with Infrastructure and Security teams to ensure compliance and reliability within a hybrid architecture. This role offers a chance to mentor engineers and contribute to governance forums.

Qualifications

• 10+ years’ experience in DevOps / Platform Engineering, with 5+ years in a leadership role.
• Strong hands-on expertise in Kubernetes and OpenShift.
• Deep experience with CI/CD tools like Azure DevOps and GitHub Actions.

Responsibilities

• Define and enforce DevOps standards across CI/CD, IaC, and container orchestration.
• Design, build, and operate Kubernetes/OpenShift clusters.
• Establish observability frameworks for metrics, logs, and dashboards.

Skills

Kubernetes

OpenShift

CI/CD tools

Terraform

Ansible

Linux systems

Job description

Overview

My client is looking for a Lead DevOps Engineer to define and drive platform engineering practices that enable secure, scalable, and automated environments across data, AI, and application workloads.

This is a hands-on leadership role, responsible for setting standards across CI/CD, Infrastructure as Code, Kubernetes/OpenShift, observability, and security, while ensuring engineering teams can deliver efficiently within a governed and resilient platform.

You will act as a key bridge between Infrastructure, Security, DataOps, and Platform Engineering teams, helping to establish automation, reliability, and compliance as core principles across the organisation.

Responsibilities

Platform Engineering & Architecture

• Define and enforce DevOps standards across CI/CD, IaC, and container orchestration
• Design, build, and operate Kubernetes/OpenShift clusters in hybrid and on-prem environments
• Own cluster lifecycle management, including upgrades, scaling, networking, storage integration, and resilience
• Champion DevOps best practices across a hybrid architecture (Azure + on-prem)

Automation & CI/CD

• Standardise and optimise CI/CD frameworks (Azure DevOps, GitHub Actions)
• Drive adoption of Infrastructure as Code (Terraform, Ansible) across all environments
• Enable automated, consistent, and scalable deployments across platforms

Observability & Reliability

• Establish observability frameworks (metrics, logs, traces, dashboards, alerting)
• Define SLOs/SLAs and ensure platform reliability and performance
• Oversee incident management, runbooks, and automated remediation strategies

Security & Governance

• Embed security-first practices including RBAC, secrets management, encryption, and vulnerability scanning
• Ensure compliance with PHI/PII regulations through secure platform design
• Support auditability and traceability across all deployments
• Contribute to platform governance and design authority forums
• Mentor and develop DevOps engineers, raising platform maturity and best practices
• Collaborate with DataOps, AI/ML, and Engineering teams to support scalable delivery
• Partner with Infrastructure and Security teams to implement shared services and guardrails

Required Experience & Skills

• 10+ years’ experience in DevOps / Platform Engineering, with 5+ years in a leadership role
• Strong hands-on expertise in Kubernetes and OpenShift (cluster operations and lifecycle management)
• Deep experience with CI/CD tools (Azure DevOps, GitHub Actions)
• Advanced knowledge of Terraform and Ansible (Infrastructure as Code)
• Strong Linux systems experience in hybrid and on-prem environments
• Experience implementing observability tools (e.g. Prometheus, Grafana, ELK, OpenTelemetry)
• Solid understanding of security frameworks (RBAC, secrets management, compliance)

Nice to Have

• Experience working with data and AI platforms (e.g. Databricks, Kafka, Airflow, MLflow)
• Exposure to hybrid infrastructure (Azure + on-prem storage such as MinIO or VAST)
• Experience contributing to architecture governance or design councils

Please apply to be contacted with further information.