DevOps Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 24%

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Logo of Addepto

Addepto

51 - 200 employees

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Addepto is a company specializing in Artificial Intelligence and Machine Learning solutions tailored for various industries. They offer AI consulting, MLOps consulting, and data engineering services, providing comprehensive AI-driven strategies and applications. Addepto focuses on implementing sophisticated AI technologies such as Generative AI, computer vision, and large language models to solve complex business problems. They cater to industries like finance, aviation, retail, and logistics, among others, enhancing operations and decision-making processes.

📋 Description

• Maintain Azure infrastructure using Terraform, including reusable modules, environment configuration, remote state, and reviewed deployment plans • Investigate configuration drift and keep existing resources under version control • Develop and troubleshoot CI/CD pipelines in Azure DevOps and GitHub Actions • Manage automated checks, artifacts, approvals, build agents, and service connections • Support cloud data platforms such as Azure Databricks • Manage workspace settings, compute resources, permissions, storage access, and deployment configuration • Deploy and maintain serverless services, particularly Azure Functions • Support Azure Event Hubs configuration, access, capacity, and monitoring • Troubleshoot 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 • Follow established change procedures and validate services after deployment • Document results and keep rollback instructions current for routine changes • Write operational scripts and runbooks • Automate recurring tasks • Identify opportunities to reduce unnecessary cloud resource usage through sizing, scheduling, and cleanup • Work with software engineers, data engineers, and operations teams to keep production and non-production environments reliable, secure, and maintainable • Handle standard changes independently with peer review and senior-engineer support for architectural decisions, complex incidents, and high-impact production changes

🎯 Requirements

• Around 3 years of experience in DevOps, cloud infrastructure, or a similar role, including practical exposure to production environments • Hands-on Azure knowledge covering compute, storage, networking, identity, and security fundamentals • Knowledge of least-privilege access and secret management • Practical Terraform experience with modules, variables, remote state, and safe plan/apply workflows for existing infrastructure • Experience with Azure DevOps or GitHub Actions • Confidence using Git and pull requests • Willingness to work with both CI/CD platforms • Some experience administering cloud data platforms, preferably Azure Databricks • Understanding of compute management, permissions, and data access • Familiarity with serverless operations, preferably Azure Functions • Understanding of Azure Event Hubs concepts such as partitions, consumer groups, and retention • Ability to automate tasks in Python, PowerShell, or Bash • Ability to troubleshoot services using Azure Monitor, Application Insights, and Log Analytics • Good communication skills in English • Careful approach to production changes and judgement to seek support when needed • Nice to have: 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 welcome • Eligibility to work in the EU

🏖️ Benefits

• 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 • Flexible work arrangements, allowing remote work or work from modern offices and coworking spaces • Career development paths • Knowledge-sharing initiatives • Language classes • Sponsored training and conferences • Access to industry-leading training materials and certification programs through partnerships with Databricks and Anthropic • Team-building events • Integration budget • Work anniversary, birthday, and milestone celebrations • Medical and sports packages • Eye care • Well-being support services, including psychotherapy and coaching • Full work equipment, including a laptop and other necessary devices • Opportunities to build a personal brand through conference speaking, blog writing, and meetup participation • Dedicated onboarding buddy • Friendly, supportive, and autonomous culture

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