DevOps Engineer

ABOUT JMAN:

JMAN Groupis a fast-growing data engineering & data science consultancy. We work primarily with Private Equity Funds and their Portfolio Companies to create commercial value using Data & Artificial Intelligence. In addition, we also work with growth businesses, large corporates, multinationals, and charities.

We are headquartered in London with Offices in New York, London and Chennai. Our team of over 450 people is a unique blend of individuals with skills across commercial consulting, data science and software engineering.

We were founded by cousins Anush Newman (Co-founder & CEO) and Leo Valan (Co-founder & CTO) and have grown rapidly since 2019. In May 2023 we took a minority investment from Baird Capital and in January 2024 we opened an office in New York with the ambition of growing our US business to be as large as, if not bigger than, our European business by 2027.

Why work at JMAN:

Our vision is to ensure JMAN Group is the passport to our team's future. We want our team to go on a fast-paced, high-growth journey with us – when our people want to do something else, the skills, training, exposure, and values that JMAN has instilled in them should open doors all over the world.

Current Benefits:

− Competitive annual bonus

− Market-leading private health insurance

− Regular company socials

− Annual company away days

− Extensive training opportunities

Key Responsibilities

• Build and operate cloud infrastructure on Azure to support application and data platform environments.
• Implement infrastructure using Infrastructure as Code (IaC) tools such as Terraform, ensuring consistent, reliable, and repeatable deployments.
• Design, build, and maintain CI/CD pipelines using tools such as Azure DevOps or GitHub Actions for automated build and deployment processes.
• Manage source control (Git) workflows, including branching strategies, versioning, and release management.
• Deploy and manage application and platform workloads on Azure, ensuring reliability, scalability, and availability.
• Configure and manage data platform environments, including Azure Databricks and Microsoft Fabric where applicable.
• Implement and manage containerised workloads using Docker and optionally Kubernetes (AKS). Manage and optimise cloud infrastructure across environments, ensuring performance, cost efficiency, and reliability.
• Configure and maintain monitoring, logging, and alerting systems to ensure platform observability and proactive issue detection.
• Implement security best practices across infrastructure and pipelines, ensuring secure configurations and compliance with defined standards.
• Troubleshoot and resolve infrastructure, deployment, and pipeline issues independently within defined timelines.
• Collaborate with development and data teams to streamline deployment processes, improve release efficiency, and resolve infrastructure issues.
• Maintain clear documentation for infrastructure, pipelines, and deployment processes.

Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.
• 2–3 years of experience in DevOps, Cloud Engineering, or Platform Engineering roles.
• Strong hands-on experience with Microsoft Azure, including core services for compute, networking, and storage.
• Azure certification (AZ-104 or equivalent) is mandatory.
• Strong experience with Infrastructure as Code (Terraform preferred).
• Practical experience with CI/CD tools such as Azure DevOps, GitHub Actions, or similar.
• Strong understanding of Git-based workflows, including branching, version control, and release strategies.
• Hands-on experience with containerisation (Docker) and working knowledge of Kubernetes / AKS (optional).
• Experience with monitoring and logging tools in cloud environments.
• Proficiency in scripting (PowerShell, Bash, or Python) for automation tasks.
• Good understanding of cloud security fundamentals and secure configuration practices.
• Strong problem-solving skills and ability to work independently.

Preferred Qualifications

• Experience with Azure Databricks platform setup or environment management.
• Familiarity with Microsoft Fabric platform setup or administration.
• Exposure to Kubernetes (AKS) for container orchestration.
• Exposure to data platforms or analytics workloads from a DevOps perspective.
• Familiarity with agile delivery models and working with cross-functional teams.
• Experience with AWS cloud platform.

• Behavioural Competencies At JMAN, we expect our team members to embody the following: Proactive and accountable in driving platform readiness
• Adaptable and comfortable with ambiguity
• Strong collaborator across engineering and consulting teams
• Committed to continuous improvement and learning
• Professional, reliable, and delivery-focused