Specialist - Cloud Engineer - Gdansk

📍 Job Overview

• Job Title: Specialist - Cloud Engineer - Gdansk
• Company: Arla Foods
• Location: Gdańsk, Pomorskie, Poland
• Job Type: Hybrid
• Category: DevOps Engineer
• Date Posted: 2025-06-10

🚀 Role Summary

• Design, develop, and maintain comprehensive compliance dashboards and self-service tools to empower cloud collaborators
• Create templates and accelerators to facilitate efficient and consistent cloud practices across the organization
• Collaborate with cross-functional teams to ensure seamless integration and operation of development tools
• Implement Infrastructure-as-Code (IaC) solutions using tools like Terraform and ARM templates to streamline deployments
• Work with AI tools and platforms to enhance development capabilities and drive innovation
• Monitor platform performance and proactively implement improvements to ensure reliability and scalability
• Develop and maintain technical documentation for platform processes and procedures
• Stay up-to-date with emerging technologies and best practices to continuously improve platform capabilities

💻 Primary Responsibilities

• Cloud Engineering:

  • Design, develop, and maintain compliance dashboards and self-service tools for cloud operations
  • Create templates and accelerators to facilitate efficient and consistent cloud practices across the organization
  • Implement Infrastructure-as-Code (IaC) solutions using tools like Terraform and ARM templates to streamline deployments
  • Monitor platform performance and proactively implement improvements to ensure reliability and scalability
  • Collaborate with cross-functional teams to ensure seamless integration and operation of development tools
  • Work with AI tools and platforms to enhance development capabilities and drive innovation

• Technical Documentation:

  • Develop and maintain technical documentation for platform processes and procedures

• Emerging Technologies & Best Practices:

  • Stay up-to-date with emerging technologies and best practices to continuously improve platform capabilities

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Technology, or related field

Experience: Minimum of 5 years of experience in IT infrastructure, with at least 2+ years focused on Azure cloud environments

Required Skills:

• Solid experience in software development and DevOps practices
• Proficiency in cloud services, particularly Azure, and Infrastructure-as-Code tools like Terraform
• Experience with CI/CD tools such as Azure Pipelines, or GitHub Actions
• Familiarity with AI tools and platforms, and a passion for integrating AI into development processes
• Strong coding skills and experience with automation and scripting languages like Python or PowerShell
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment

Preferred Skills:

• Experience with cloud-native platforms and serverless architectures
• Knowledge of containerization and orchestration tools like Kubernetes
• Familiarity with cloud security best practices and compliance standards
• Experience with cloud cost management and optimization strategies

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• Specific cloud engineering projects demonstrating compliance dashboard development, Infrastructure-as-Code implementation, and platform performance monitoring
• Live demos showcasing user-friendly dashboards, self-service tools, and automated deployment processes
• Documentation highlighting technical decisions, best practices, and lessons learned from cloud engineering projects

Technical Documentation:

• Detailed technical documentation for cloud engineering projects, including architecture diagrams, code comments, and deployment guides
• Version control, deployment processes, and server configuration documentation
• Testing methodologies, performance metrics, and optimization techniques documentation

💰 Compensation & Benefits

Salary Range: [Region-specific salary range based on experience level, location, and web development industry standards]

Benefits:

• Medical care & life insurance
• Gym card, vouchers, travel points, or cinema tickets, etc.
• Trainings with experts & professional induction & development programs
• Financial support of your education
• Relocation package
• Referral program for employees
• Employee Assistance Program (legal, psychological, health, financial consulting, etc.)
• Support for your healthy lifestyle (fruit day, facility for sportsmen, sport challenges and activities, Arla active teams / sport groups)
• Flexible working time and home office work possibility depending on business needs
• Additional holiday depending on length of employment (up to 4 days)
• Fully paid 30 min. break

📌 Application & Technical Interview Process

Interview Process:

1. Technical Preparation: Brush up on cloud engineering fundamentals, Azure-specific features, and Infrastructure-as-Code best practices
2. Portfolio Review: Prepare a portfolio showcasing cloud engineering projects, compliance dashboards, and Infrastructure-as-Code implementations
3. Technical Challenge: Practice cloud engineering challenges and prepare for hands-on coding assessments related to Azure and Infrastructure-as-Code tools

Portfolio Presentation Strategy:

1. Live Demo: Present live demos of compliance dashboards, self-service tools, and automated deployment processes
2. Code Explanation: Clearly explain your code and architecture decisions, highlighting best practices and performance optimizations
3. User Experience: Showcase user-friendly dashboards and intuitive user interfaces for cloud engineering tools

Technical Challenge Preparation:

1. Cloud Engineering: Practice cloud engineering challenges focusing on Azure, Infrastructure-as-Code, and platform performance optimization
2. Communication: Prepare for communication-based challenges, such as explaining complex cloud engineering concepts to non-technical stakeholders
3. Problem-Solving: Develop problem-solving strategies for cloud engineering challenges, focusing on scalability, reliability, and cost optimization

📈 Company & Culture Context

Industry: Dairy industry, committed to producing high-quality products while championing sustainability and innovation

Company Size: Global leader with a worldwide cooperative dedicated to making a significant impact on the planet and steering the dairy industry towards a sustainable future

Founded: 1883, with a rich history and a strong commitment to people and the planet

Team Structure:

• Global Shared Services consists of multiple functions, including IT Operations, IT Solutions, procurement, finance, and HR operations
• The IT Operations division is dedicated to cloud-native platforms, server administration, and infrastructure management
• The IT Solutions division focuses on SAP, app development, and implementation projects
• The procurement and finance functions support global processes such as purchasing, distribution, and sales
• The HR operations division ensures the attraction, development, and retention of top talent worldwide

Development Methodology:

• Agile methodologies and Scrum practices are used for software development and project management
• Code reviews, testing, and quality assurance processes are integral to development workflows
• Deployment strategies, CI/CD pipelines, and server management are essential for platform operation and maintenance

Company Website: Arla Foods Career Website

🎯 Career & Growth Analysis

Web Technology Career Level: Mid-level to senior cloud engineer role, with opportunities for technical leadership and architecture decision-making

Reporting Structure: Reports directly to the IT Operations manager or a similar role within the IT department

Technical Impact: Instrumental in building, maintaining, and optimizing cloud-native platforms that support the software development lifecycle, enhancing developer productivity, and driving innovation

Growth Opportunities:

1. Technical Leadership: Pursue technical leadership roles within the IT Operations division, focusing on cloud architecture, strategy, and roadmap development
2. Emerging Technologies: Explore emerging cloud technologies, such as serverless architectures, multi-cloud environments, and AI-driven operations
3. Architecture Decisions: Contribute to strategic architecture decisions, driving cloud adoption, and ensuring platform scalability and security

🌐 Work Environment

Office Type: Modern office space with beautiful views and high-standard furniture, such as adjustable desks

Office Location(s): Neptune building in Gdańsk, with colorful offices and a beautiful sea view

Workspace Context:

• Collaborative workspaces with cross-functional integration between developers, designers, and stakeholders
• Code review culture and peer programming practices for knowledge sharing and continuous learning
• Knowledge sharing, technical mentoring, and continuous learning opportunities

Work Schedule: Flexible working time and home office work possibility depending on business needs, with an additional day in the office per month

📄 Application & Technical Interview Process

Interview Process:

1. Technical Preparation: Brush up on cloud engineering fundamentals, Azure-specific features, and Infrastructure-as-Code best practices
2. Portfolio Review: Prepare a portfolio showcasing cloud engineering projects, compliance dashboards, and Infrastructure-as-Code implementations
3. Technical Challenge: Practice cloud engineering challenges and prepare for hands-on coding assessments related to Azure and Infrastructure-as-Code tools

Portfolio Presentation Strategy:

1. Live Demo: Present live demos of compliance dashboards, self-service tools, and automated deployment processes
2. Code Explanation: Clearly explain your code and architecture decisions, highlighting best practices and performance optimizations
3. User Experience: Showcase user-friendly dashboards and intuitive user interfaces for cloud engineering tools

Technical Challenge Preparation:

1. Cloud Engineering: Practice cloud engineering challenges focusing on Azure, Infrastructure-as-Code, and platform performance optimization
2. Communication: Prepare for communication-based challenges, such as explaining complex cloud engineering concepts to non-technical stakeholders
3. Problem-Solving: Develop problem-solving strategies for cloud engineering challenges, focusing on scalability, reliability, and cost optimization