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Andersen is hiring a Senior DevOps Engineer (Azure) for a project building cloud infrastructure and pipelines, ensuring scalable, reliable environments for developing advanced pricing solutions. The customer is an international organization specializing in data-driven advisory and consulting services. It collaborates with a wide range of clients across different industries, helping them address complex business challenges, manage risks, and improve operational efficiency. The company focuses on delivering practical, insight-based solutions to support decision-making and long-term business performance. The project is focused on building and optimizing cloud-based infrastructure and tooling to support the development of advanced insurance pricing solutions. It involves enabling agile teams through DevOps practices, improving delivery pipelines, and ensuring scalable, reliable environments for product development.
Job Responsibility
Working with the DevOps Lead and the wider Engineering Team to help design and implement a highly available, scalable, secure, and resilient platform and to promote best Practices for SDLC
Debugging tooling and infrastructure issues or performance bottlenecks (3rd line support), and dispatching product-related issues to the teams
Working with the QA Leads to ensure Azure-based test environments are continuously optimized to execute a high volume of test cases in a fast and cost-efficient way
Keeping up with the latest industry research and emerging technologies as well as promoting or showcasing internally
Work within a culture of operational excellence, focusing on appropriate observability tooling (monitoring, logging, tracing, alerting, self-healing)
Designing, implementing and documenting test environments and frameworks, assisting in the design and implementation of automated tests
Participating in scrum meetings as relevant (e.g. sprint demos and retrospectives)
Ensuring compliance and alignment with wider governance policies and standards
Requirements
Experience in Azure DevOps for 2–4 years, administering CI/CD systems, including creating and maintaining YAML pipelines, building configurations, and release processes
Experience using Azure Boards for work management
Experience with Git and GitHub repositories
Experience in Infrastructure as Code using Terraform (preferred OpenTofu) for provisioning and managing cloud infrastructure
Experience in scripting and automation using PowerShell, Bash, or Python
Software engineering background with experience in C# or another programming language (e.g. Python)
Understanding of software delivery practices
Experience with containerisation and orchestration using Kubernetes (preferably AKS)
Experience using Helm for package management and deployments
Strong knowledge of Azure cloud, especially PaaS services (App Service, Functions, Service Bus, Key Vault, Storage)
Experience with observability and monitoring tools (e.g. Azure Application Insights, Log Analytics, Prometheus/Grafana, Datadog or similar)
Experience taking solutions from Proof of Concept to Production following engineering best practices
Strong problem-solving skills with the ability to design simple and reliable solutions
High attention to detail and commitment to quality
Ability to work independently and take ownership
Strong collaboration and communication skills in cross-functional teams
Level of English - Upper-Intermediate and above
Nice to have
Experience with configuration management tools (e.g. Chef, Puppet, Ansible)
Knowledge of other cloud platforms such as AWS
Knowledge of other IaC tools, like Pulumi
Understanding Linux operating systems (e.g. Ubuntu/RHEL)
Familiarity with networking fundamentals, protocols, and common services
Awareness of security best practices, secure coding, and cloud security tooling
Experience with containerisation technologies (Docker) and broader orchestration platforms
Experience with JavaScript frameworks (Node.js, Angular, React)
Unit testing and mocking frameworks
Working in Agile/Scrum delivery teams
Experience within the MLOps space
Solid experience with AI-assisted tooling in the software development lifecycle (e.g. GitHub Copilot, Azure DevOps Copilot, AI‑driven code completion or documentation tools)
General knowledge of the insurance industry
Degree in Computer Science, Engineering, Mathematics, or equivalent experience
What we offer
Mentoring and adaptation systems for new employees
Transparent performance review and assessment systems
Access to best educational platforms, seminars, and practices