DevOps Engineer with ML AI for Azure at Svitla Systems

Opis stanowiska:

Najnowsze informacje o pracy w Svitla Systems na stanowisko DevOps Engineer with ML AI for Azure. If the DevOps Engineer with ML AI for Azure wolny etat w Polska odpowiada Twoim kwalifikacjom, prześlij swoje aktualne CV bezpośrednio przez portal Jobkos.

Pamiętaj, że proces rekrutacji wymaga spełnienia określonych wymogów firmy. Mamy nadzieję, że oferta pracy w Svitla Systems na stanowisko DevOps Engineer with ML AI for Azure poniżej odpowiada Twoim kwalifikacjom.

Svitla Systems Inc. is looking for a Senior DevOps Engineer with ML/AI for Azure for a full-time Stanowisko (40 hours per week) in Ukraine and the EU. Our client is a leading global provider that gathers information and reports to enhance the environmental and social impacts on the business.

Role Overview:

• We are looking for a DevOps Engineer with experience in deploying Machine Learning / AI in Azure.
• Part of a global team supporting multiple SaaS environments focused on safety
• Azure as the primary cloud, with additional platforms due to rapid growth and acquisitions
• Active transition from IaaS → PaaS → serverless, including AI/ML integration
• Fast-paced environment requiring continuous learning and adaptability
• Strong expertise in 1–2 areas (e.g. monitoring, scripting, automation) is sufficient to get started
• Overlap till 1 pm EST (19:00 CET) is required

Skills and Experience

• Good spoken and written English!
• Ability to communicate effectively with multiple disciplines.
• Strong analytical skills with the ability to drive reliability improvements.
• Proven experience designing, implementing, and managing infrastructure for AI/ML or HPC workloads.
• Proven success managing and optimizing CI/CD for an Azure-based SaaS application.
• Hands-on-experience with common DevOps tools, including Azure DevOps.
• Strong scripting skills with at least PowerShell or Bash.
• Experience with configuration management tools like Terraform.
• Working knowledge of version control/source code management tools.
• Experience working in an agile software development life cycle.
• Working knowledge of databases including SQL and NoSQL
• Strong knowledge of web server configuration and management like IIS or Tomcat.
• Working knowledge of local and wide area networking and associated technologies, e.g. switches, routers, firewalls, VPNs.
• Strong understanding of security principles.
• Bachelor’s Degree in Computer Science or similar area of study.
• Experience working in a technical fast paced environment with high demand and high standards.
• Ability to assimilate information quickly under pressure.
• Strong planning skills to ensure business expectations are met and projects are delivered on time.

Preferred experience

• Cloud-based networking (VNETs, NSGs, Route Tables, Hub/Spoke-based architecture, Private Endpoints, etc)
• Strong understanding of CI/CD (YAML and Classic Pipelines)
• PaaS (Web Apps, Function Apps, Storage Accounts, Key Vaults, Azure Redis Cache, Azure Service Bus, API Management, Azure Data Factory, Azure Databricks)
• Monitoring (New Relic, LogEntries, Rapid7, Azure Monitoring, etc)
• Some experience with Containers/Docker, either for a microservice-based architecture or Service-Oriented, etc
• Git, ARM, Terraform, Ansible, Azure CLI, or similar.
• Understanding machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn, and their deployment in production environments is a plus.

Responsibilities

• Support application infrastructure to ensure platform is optimized for performance and reliability.
• Build and maintain supporting infrastructure for cloud environments and applications.
• Lead the design and engineering of software systems for the AI/ML Platform, contributing to the full ML development life cycle
• Identify and implement opportunities to automate and streamline ML development processes, fostering efficiency and effectiveness
• Building and Managing enterprise AI solutions using Azure AI Foundry & Azure's integrated platform (Azure OpenAI, AI Search, Prompt Flow),
• Use a wide range of Azure resources to implement scalable, reliable and cost-efficient services.
• Work side by side with your engineers, guiding critical projects, using your subject matter expertise to solve complex problems.
• Perform and automate system administration services including installation, configuration, maintenance, and disaster recovery
• Identify system-level issues related to OS configuration and virtual hardware bottlenecks.
• Automation, auditing, and other tooling for security, compliance, and resource usage
• Monitor and improve processes for all deployments.
• Take ownership of operational excellence to establish and maintain business focused KPI’s. Use these metrics not only as a basis for positive transformation, but also as a visible representation of your team’s success.
• Maintain and take ownership of your tasks each sprint ensuring time worked is logged and details are added.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, other activities
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!

Szczegóły oferty:

• Firma: Svitla Systems
• Stanowisko: DevOps Engineer with ML AI for Azure
• Miejsce pracy: Polska
• Kraj: PL

Jak złożyć aplikację:

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