DevOps Engineer

Airswift; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Airswift in London offers a hybrid DevOps Engineer position, blending cloud infra, automation, and data engineering. The role focuses on building scalable Azure deployments, IaC with Terraform, and CI/CD pipelines, working with data platforms and governance standards.

Join a high-performance team to enable secure, reliable cloud services, leveraging Spark and modern analytics while promoting DevOps practices and cross-functional collaboration.

Qualifications

• Strong commercial experience in DevOps, Cloud Engineering, or Platform Engineering roles.
• Proven expertise in Infrastructure as Code using Terraform.
• Hands-on experience building and supporting CI/CD pipelines.
• Strong experience with GitLab and deployment automation.
• Experience working within Microsoft Azure environments.
• Knowledge of scripting languages such as Shell or PowerShell.
• Experience supporting cloud-native applications and services.
• Familiarity with big data technologies including Spark and distributed data platforms.
• Strong troubleshooting and incident management skills.
• Excellent communication and stakeholder engagement abilities.
• Experience with Azure Data Factory and Databricks.
• Knowledge of Azure Kubernetes Service (AKS).
• Exposure to containerisation technologies and orchestration platforms.
• Understanding of data governance, security, and compliance frameworks.

Responsibilities

• Design, build, and maintain CI/CD pipelines using tools such as GitLab, Jenkins, and related automation technologies.
• Implement Infrastructure as Code (IaC) solutions using Terraform to support scalable Azure deployments.
• Collaborate with solution architects and engineering teams on end-to-end infrastructure and platform design.
• Manage and optimize Azure cloud services, ensuring high availability, performance, and security.
• Support deployment and operation of large-scale data platforms and processing environments.
• Integrate and support data processing technologies including Spark and modern analytics platforms.
• Monitor, troubleshoot, and resolve infrastructure, deployment, and automation issues.
• Promote DevOps best practices across development and engineering teams.
• Improve operational efficiency through automation, standardisation, and continuous improvement initiatives.
• Ensure compliance with security, governance, and operational standards.

Skills

DevOps

Cloud Infrastructure

Automation

Data Engineering

Azure

Tools

Terraform

GitLab

Jenkins

Azure

Job description

London, UK | Hybrid Working (3 Days Onsite)

We're looking for an experienced DevOps Engineer to join a high-performing team responsible for supporting and evolving a large-scale cloud-based data platform. This is an exciting opportunity to work at the intersection of DevOps, Cloud Infrastructure, Automation, and Data Engineering, helping deliver reliable, secure, and scalable solutions within a modern Azure environment.

You'll play a key role in building and maintaining cloud infrastructure, automating deployment processes, and enabling engineering teams to deliver data-driven solutions efficiently and securely.

The Role

As a DevOps Engineer, you will be responsible for designing and implementing CI/CD processes, managing Infrastructure as Code (IaC), and supporting cloud-native technologies that power enterprise-scale data platforms.

Working closely with architects, engineers, and data teams, you'll help deliver robust environments capable of handling large volumes of business-critical data while ensuring security, scalability, and operational excellence.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using tools such as GitLab, Jenkins, and related automation technologies
• Implement Infrastructure as Code (IaC) solutions using Terraform to support scalable Azure deployments
• Collaborate with solution architects and engineering teams on end-to-end infrastructure and platform design
• Manage and optimize Azure cloud services, ensuring high availability, performance, and security
• Support deployment and operation of large-scale data platforms and processing environments
• Integrate and support data processing technologies including Spark and modern analytics platforms
• Monitor, troubleshoot, and resolve infrastructure, deployment, and automation issues
• Promote DevOps best practices across development and engineering teams
• Improve operational efficiency through automation, standardisation, and continuous improvement initiatives
• Ensure compliance with security, governance, and operational standards

Required Experience

• Strong commercial experience in DevOps, Cloud Engineering, or Platform Engineering roles
• Proven expertise in Infrastructure as Code using Terraform
• Hands-on experience building and supporting CI/CD pipelines
• Strong experience with GitLab and deployment automation
• Experience working within Microsoft Azure environments
• Knowledge of scripting languages such as Shell or PowerShell
• Experience supporting cloud-native applications and services
• Familiarity with big data technologies including Spark and distributed data platforms
• Strong troubleshooting and incident management skills
• Excellent communication and stakeholder engagement abilities
• Experience with Azure Data Factory and Databricks
• Knowledge of Azure Kubernetes Service (AKS)
• Exposure to containerisation technologies and orchestration platforms
• Understanding of data governance, security, and compliance frameworks