DevOps Engineer

Poland·Warsawmid

EngineeringDevops Engineer

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Quick Summary

Key Responsibilities

Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans.

Technical Tools

EngineeringDevops 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.

Responsibilities

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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.
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Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions, including automated checks, artifacts, approvals, build agents, and service connections.
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Support cloud data platforms such as Azure Databricks, managing workspace settings, compute resources, permissions, storage access, and deployment configuration.
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Deploy and maintain serverless services, particularly Azure Functions, and support Azure Event Hubs configuration, access, capacity, and monitoring.
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Troubleshoot common networking and access issues involving DNS, private endpoints, Entra ID, RBAC, and Key Vault.
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Maintain monitoring and alerts, investigate incidents using logs and metrics, and escalate complex issues with clear findings.
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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.
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Write operational scripts and runbooks, automate recurring tasks, and identify opportunities to reduce unnecessary cloud resource usage through appropriate sizing, scheduling, and cleanup.

Nice to Have

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Experience with Azure Data Factory, Azure SQL, Databricks Unity Catalog or Asset Bundles, Docker, KQL, or cloud cost optimisation.
Experience using AI assistants for scripting and troubleshooting is also welcome.

What We Offer

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✓Work in a supportive team of passionate enthusiasts of AI & Big Data.

✓Engage with top-tier global enterprises and cutting-edge startups on international projects.

✓Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.

✓Accelerate your professional growth through career development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences. Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.

✓Participate in team-building events and utilize the integration budget.

✓Celebrate work anniversaries, birthdays, and milestones.

✓Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.

✓Get full work equipment for optimal productivity, including a laptop and other necessary devices.

✓With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

✓Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.