DevOps Engineer

Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide .

As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

We are modernizing a large, business-critical operational platform that has evolved over many years and combines application logic, database-level rules, and partly manual operational processes. The project involves transitioning the existing solution towards a modern, cloud-native architecture , delivered by a small senior team working with heavy AI leverage.

We are looking for a DevOps Engineer to maintain Azure infrastructure, support application and data platform deployments, and improve automation. You will work with software engineers, data engineers, and operations teams to keep production and non-production environments reliable, secure, and maintainable. You will help teams release changes consistently and turn recurring operational problems into improvements to tooling and documentation.

This hands-on role combines routine platform administration, CI/CD, and troubleshooting. You will handle standard changes independently, with peer review and support from senior engineers for architectural decisions, complex incidents, and changes with significant production impact.

Your main responsibilities:

• Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans. Investigate configuration drift and help keep existing resources under version control.
• Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions, including automated checks, artifacts, approvals, build agents, and service connections.
• Support cloud data platforms such as Azure Databricks, managing workspace settings, compute resources, permissions, storage access, and deployment configuration.
• Deploy and maintain serverless services, particularly Azure Functions, and support Azure Event Hubs configuration, access, capacity, and monitoring.
• Troubleshoot common networking and access issues involving DNS, private endpoints, Entra ID, RBAC, and Key Vault.
• Maintain monitoring and alerts, investigate incidents using logs and metrics, and escalate complex issues with clear findings.
• Support production releases and recovery testing, following established change procedures and validating services after deployment. Document results and keep rollback instructions current for routine changes.
• Write operational scripts and runbooks, automate recurring tasks, and identify opportunities to reduce unnecessary cloud resource usage through appropriate sizing, scheduling, and cleanup.