📍 Job Overview

Job Title: DevOps Engineer
Company: Inetum
Location: Warsaw, Mazowieckie, Poland
Job Type: Hybrid (3 days on-site per week)
Category: DevOps Engineer
Date Posted: 2025-06-11
Experience Level: 2-5 years
Remote Status: Hybrid (Warsaw, Lublin, Poznań)

🚀 Role Summary

Design, implement, and manage secure, scalable, and highly available cloud infrastructure on Microsoft Azure for Generative AI platforms.
Collaborate with AI/ML engineers, backend developers, and compliance teams to deliver GenAI products.
Automate provisioning, monitoring, and scaling of cloud-native microservices using Kubernetes, Docker, Helm, and Terraform.
Ensure compliance with privacy, GDPR, and secure data handling standards.

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should be comfortable working in a collaborative environment and have a solid understanding of AI/ML workloads and data storage solutions.

💻 Primary Responsibilities

Cloud Infrastructure Management: Design, implement, and manage cloud infrastructure for Generative AI platforms, primarily on Microsoft Azure. Maintain and enhance CI/CD pipelines for deploying AI/ML and conversational AI solutions.
Microservices Automation: Automate provisioning, monitoring, and scaling of cloud-native microservices using Kubernetes, Docker, Helm, and Terraform. Support production operations including monitoring, logging, alerting, and disaster recovery.
Data Storage and Pipelines: Integrate and manage data storage solutions (Azure PostgreSQL Flexible Server, data lakes, warehousing). Build and maintain secure data pipelines (ETL/ELT) to ensure data integrity and compliance with privacy standards.
API Integrations: Support API integrations, API gateways, and service mesh components for multi-channel (chat/voice) deployments. Ensure compliance with privacy, GDPR, and secure data handling standards.
Collaboration and Learning: Collaborate with cross-functional teams to deliver GenAI products. Continuously learn and grow within a collaborative DevOps team environment.

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should be comfortable working in a collaborative environment and have a solid understanding of AI/ML workloads and data storage solutions.

🎓 Skills & Qualifications

Education: A degree in Computer Science, IT, or a related field is required. Equivalent experience may also be considered.

Experience: 2+ years of hands-on experience in DevOps or Cloud Engineering is required. Experience with AI/ML workloads, model deployment, or MLOps is a plus.

Required Skills:

Proficiency in Microsoft Azure, AWS, or similar cloud platforms.
Strong experience with Kubernetes, Docker, Helm, and Terraform.
Familiarity with CI/CD tools (Azure DevOps, Jenkins) and scripting (Python, Bash).
Understanding of cloud networking, API gateways, load balancing, and monitoring/logging tools (Prometheus, Grafana, ELK).
Experience with data storage solutions and ETL/ELT concepts.
Basic knowledge of cloud security, GDPR compliance, RBAC, and auditability.
Strong troubleshooting skills and willingness to support incident management.
English and Polish language at a minimum B2 level.

Preferred Skills:

Experience with AI/ML workloads, model deployment, or MLOps.
Familiarity with Apache Kafka for system integration.
Knowledge of chatbot/voicebot infrastructure or Genesys/Contact Center integrations.
German language skills.

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should be comfortable working in a collaborative environment and have a solid understanding of AI/ML workloads and data storage solutions. Experience with AI/ML workloads, model deployment, or MLOps is a significant advantage in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with cloud infrastructure management, focusing on Microsoft Azure.
Showcase your ability to automate provisioning, monitoring, and scaling of cloud-native microservices using Kubernetes, Docker, Helm, and Terraform.
Highlight your experience with data storage solutions and ETL/ELT concepts, with a focus on secure data handling and compliance with privacy standards.
Include examples of API integrations, API gateways, and service mesh components for multi-channel deployments.

Technical Documentation:

Provide code quality documentation, including comments, version control, and deployment processes.
Include testing methodologies, performance metrics, and optimization techniques for cloud infrastructure management.
Document your approach to cloud security, GDPR compliance, RBAC, and auditability.

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should demonstrate their ability to manage and optimize cloud infrastructure for Generative AI platforms. Experience with AI/ML workloads, model deployment, or MLOps is a significant advantage in this role.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between PLN 12,000 and PLN 18,000 gross per month, based on the average salary for DevOps Engineers in Warsaw, Poland, with 2-5 years of experience. This estimate is based on data from Glassdoor and Payscale, adjusted for regional cost of living.

Benefits:

Flexible working hours and a hybrid work model, allowing employees to divide their time between home and modern offices in key Polish cities.
A cafeteria system that allows employees to personalize benefits by choosing from a variety of options.
Generous referral bonuses, offering up to PLN 6,000 for referring specialists.
Additional revenue sharing opportunities for initiating partnerships with new clients.
Ongoing guidance from a dedicated Team Manager for each employee.
Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs.
A dedicated team-building budget for online and on-site team events.
Opportunities to participate in charitable initiatives and local sports programs.
A supportive and inclusive work culture with an emphasis on diversity and mutual respect.

Working Hours: The standard working hours for this role are 40 hours per week, with the option to work remotely for 2 days per week. The hybrid work model allows employees to work from the office in Warsaw, Lublin, or Poznań for 3 days per week.

📝 Enhancement Note: The salary range for this role is estimated based on regional salary standards and cost of living. The provided benefits are based on the information available from the company's job listing and may be subject to change.

🎯 Team & Company Context

🏢 Company Culture

Industry: Inetum operates in the IT services industry, focusing on driving the digital transformation of businesses and public institutions. With strategic partnerships with major technology giants like Microsoft, SAP, Salesforce, and ServiceNow, Inetum delivers advanced technological solutions tailored to customer requirements.

Company Size: Inetum employs over 28,000 professionals globally, with a significant presence in Poland. This size allows for diverse project opportunities and a well-established team structure.

Founded: Inetum was founded in 1997 and has since grown to become a leading IT services provider in Europe.

Team Structure:

The DevOps team consists of experienced engineers responsible for managing and optimizing cloud infrastructure for various projects.
The team follows an Agile/Scrum methodology, with regular sprint planning and code reviews to ensure high-quality deliverables.
The team works closely with AI/ML engineers, backend developers, and compliance teams to deliver Generative AI products.

Development Methodology:

Inetum follows an Agile/Scrum development process, with regular sprint planning and code reviews to ensure high-quality deliverables.
The company emphasizes continuous integration, continuous deployment, and infrastructure as code (IaC) principles.
Inetum uses Azure DevOps for project management, version control, and CI/CD pipelines.

Company Website: Inetum

📝 Enhancement Note: Inetum's focus on digital transformation and strategic partnerships with major technology giants provides a dynamic and innovative work environment for DevOps Engineers. The company's size and team structure offer ample opportunities for collaboration and professional growth.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the intermediate level for DevOps Engineers, focusing on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should have 2-5 years of experience in DevOps or Cloud Engineering and be comfortable working in a collaborative environment.

Reporting Structure: The DevOps Engineer will report directly to the DevOps Team Lead and work closely with AI/ML engineers, backend developers, and compliance teams to deliver Generative AI products.

Technical Impact: The DevOps Engineer will have a significant impact on the performance, scalability, and security of Generative AI platforms. Their work will directly contribute to the successful deployment and maintenance of AI/ML and conversational AI solutions.

Growth Opportunities:

Technical Specialization: As a DevOps Engineer at Inetum, you will have the opportunity to specialize in Microsoft Azure and gain expertise in managing cloud infrastructure for Generative AI platforms.
Team Leadership: With experience and proven performance, DevOps Engineers at Inetum can progress to team lead or senior roles, where they will be responsible for managing and mentoring other engineers.
Architecture and Design: As you gain experience and demonstrate your ability to manage complex cloud infrastructure, you may have the opportunity to work on architecture and design projects, contributing to the overall strategy of Generative AI platforms.

📝 Enhancement Note: Inetum's focus on digital transformation and strategic partnerships with major technology giants provides a dynamic and innovative work environment for DevOps Engineers. The company's size and team structure offer ample opportunities for collaboration and professional growth. This role is well-suited for intermediate-level DevOps Engineers with a strong focus on cloud infrastructure management and a preference for Microsoft Azure.

🌐 Work Environment

Office Type: Inetum's offices are modern, collaborative spaces designed to foster innovation and teamwork. The hybrid work model allows employees to work from home for 2 days per week, with the option to work from the office in Warsaw, Lublin, or Poznań for 3 days per week.

Office Location(s): Inetum has offices in key Polish cities, including Warsaw, Lublin, and Poznań. Each location offers easy access to public transportation and nearby amenities.

Workspace Context:

Inetum's offices are equipped with state-of-the-art technology, including multiple monitors and testing devices, to support the development and deployment of Generative AI platforms.
The collaborative workspace encourages team interaction and knowledge sharing, with dedicated spaces for team meetings and brainstorming sessions.
The hybrid work model allows for flexible scheduling and the ability to balance work and personal responsibilities.

Work Schedule: The standard working hours for this role are 40 hours per week, with the option to work remotely for 2 days per week. The hybrid work model allows employees to work from the office in Warsaw, Lublin, or Poznań for 3 days per week. The work schedule is flexible, with the option to adjust hours to accommodate project deadlines and maintenance windows.

📝 Enhancement Note: Inetum's modern, collaborative offices and flexible work arrangements provide an ideal environment for DevOps Engineers to thrive. The company's focus on digital transformation and strategic partnerships with major technology giants offers ample opportunities for professional growth and innovation.

📄 Application & Technical Interview Process

Interview Process:

Online Assessment: Candidates will be required to complete an online assessment to evaluate their technical skills and problem-solving abilities. This assessment will focus on cloud infrastructure management, with a preference for Microsoft Azure.
Technical Phone Screen: Candidates will participate in a technical phone screen to discuss their experience with cloud infrastructure management, automation, and data storage solutions. This conversation will also cover the candidate's understanding of AI/ML workloads and data pipelines.
On-site Interview: Candidates will be invited to Inetum's offices in Warsaw, Lublin, or Poznań for an on-site interview. This interview will include a technical deep dive into the candidate's experience with cloud infrastructure management, as well as a discussion of their approach to collaboration, teamwork, and problem-solving.
Final Decision: Inetum will make a final decision based on the candidate's technical skills, cultural fit, and alignment with the company's values.

Portfolio Review Tips:

Highlight your experience with cloud infrastructure management, focusing on Microsoft Azure.
Showcase your ability to automate provisioning, monitoring, and scaling of cloud-native microservices using Kubernetes, Docker, Helm, and Terraform.
Include examples of your experience with data storage solutions and ETL/ELT concepts, with a focus on secure data handling and compliance with privacy standards.
Demonstrate your understanding of AI/ML workloads, model deployment, or MLOps, if applicable.

Technical Challenge Preparation:

Brush up on your knowledge of Microsoft Azure, with a focus on cloud infrastructure management, automation, and data storage solutions.
Familiarize yourself with the latest trends and best practices in cloud security, GDPR compliance, RBAC, and auditability.
Prepare for questions about your experience with AI/ML workloads, model deployment, or MLOps, if applicable.

📝 Enhancement Note: Inetum's interview process is designed to evaluate the candidate's technical skills, cultural fit, and alignment with the company's values. The portfolio review and technical challenge preparation tips provided are tailored to the role of DevOps Engineer, with a strong focus on cloud infrastructure management and a preference for Microsoft Azure.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies: N/A (This role focuses on backend and infrastructure technologies)

Backend & Server Technologies:

Cloud Platform: Microsoft Azure (preferred), AWS, or similar cloud platforms
Containerization: Kubernetes, Docker
Orchestration: Helm
Infrastructure as Code (IaC): Terraform
CI/CD: Azure DevOps, Jenkins
Scripting: Python, Bash
Data Storage: Azure PostgreSQL Flexible Server, data lakes, warehousing
ETL/ELT: Apache Kafka, Azure Data Factory, Azure Databricks
API Integrations: API gateways, service mesh components (e.g., Istio, Linkerd)
Monitoring & Logging: Prometheus, Grafana, ELK Stack

Development & DevOps Tools:

Version Control: Git, Azure DevOps
Project Management: Azure DevOps, Jira
Cloud Cost Management: Azure Cost Management, Cloudability
Infrastructure Security: Azure Security Center, Prisma Cloud
Secret Management: Azure Key Vault, HashiCorp Vault

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure management, with a preference for Microsoft Azure. Candidates should be comfortable working with the latest technologies and tools for managing and optimizing cloud infrastructure for Generative AI platforms.

👥 Team Culture & Values

Web Development Values:

Innovation: Inetum values innovation and encourages its employees to explore new technologies and approaches to drive digital transformation.
Collaboration: Inetum fosters a collaborative work environment, with a strong emphasis on teamwork and knowledge sharing.
Quality: Inetum is committed to delivering high-quality solutions that meet the unique needs of its clients.
Customer Focus: Inetum prioritizes customer satisfaction and ensures that its solutions are tailored to meet the specific requirements of each client.

Collaboration Style:

Cross-Functional Teams: Inetum encourages collaboration between different teams, including AI/ML engineers, backend developers, and compliance teams, to deliver Generative AI products.
Code Reviews: Inetum follows a code review process to ensure high-quality deliverables and knowledge sharing.
Mentoring: Inetum provides mentoring opportunities to help employees develop their skills and advance their careers.

📝 Enhancement Note: Inetum's focus on digital transformation and strategic partnerships with major technology giants provides a dynamic and innovative work environment for DevOps Engineers. The company's size and team structure offer ample opportunities for collaboration and professional growth.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Infrastructure Management: Design, implement, and manage secure, scalable, and highly available cloud infrastructure for Generative AI platforms, primarily on Microsoft Azure.
AI/ML Workloads: Gain experience with AI/ML workloads, model deployment, or MLOps to support the development and deployment of Generative AI platforms.
Data Storage & Pipelines: Integrate and manage data storage solutions and build secure data pipelines (ETL/ELT) to ensure data integrity and compliance with privacy standards.
API Integrations: Support API integrations, API gateways, and service mesh components for multi-channel (chat/voice) deployments, ensuring compliance with privacy, GDPR, and secure data handling standards.

Learning & Development Opportunities:

Technical Training: Inetum offers technical training opportunities to help employees develop their skills and advance their careers. This includes workshops, webinars, and online courses focused on cloud infrastructure management, AI/ML workloads, and data storage solutions.
Conferences & Events: Inetum encourages employees to attend industry conferences and events to stay up-to-date with the latest trends and best practices in cloud infrastructure management, AI/ML, and data storage solutions.
Mentoring & Coaching: Inetum provides mentoring and coaching opportunities to help employees develop their skills and advance their careers. This includes one-on-one sessions with experienced team members and regular check-ins to discuss progress and areas for improvement.

📝 Enhancement Note: Inetum's focus on digital transformation and strategic partnerships with major technology giants provides a dynamic and innovative work environment for DevOps Engineers. The company's size and team structure offer ample opportunities for collaboration and professional growth. This role is well-suited for intermediate-level DevOps Engineers with a strong focus on cloud infrastructure management and a preference for Microsoft Azure.

💡 Interview Preparation

Technical Questions:

Cloud Infrastructure Management: Can you describe your experience with cloud infrastructure management, with a focus on Microsoft Azure? Can you provide examples of how you have designed, implemented, and managed secure, scalable, and highly available cloud infrastructure for AI/ML and conversational AI solutions?
AI/ML Workloads: Can you discuss your experience with AI/ML workloads, model deployment, or MLOps? How have you supported the development and deployment of Generative AI platforms?
Data Storage & Pipelines: Can you explain your approach to data storage solutions and ETL/ELT concepts? How have you ensured data integrity and compliance with privacy standards in your previous roles?
API Integrations: Can you describe your experience with API integrations, API gateways, and service mesh components for multi-channel deployations? How have you ensured compliance with privacy, GDPR, and secure data handling standards in your previous roles?

Company & Culture Questions:

Company Culture: Can you describe your experience with collaborative work environments and cross-functional teams? How have you contributed to a positive and inclusive work culture in your previous roles?
Team Dynamics: Can you discuss your approach to teamwork and collaboration? How have you worked with AI/ML engineers, backend developers, and compliance teams to deliver Generative AI products in your previous roles?
Problem-Solving: Can you provide an example of a complex technical challenge you faced in a previous role and how you overcame it? How did you approach this challenge, and what was the outcome?

Portfolio Presentation Strategy:

Cloud Infrastructure Management: Highlight your experience with cloud infrastructure management, focusing on Microsoft Azure. Showcase your ability to design, implement, and manage secure, scalable, and highly available cloud infrastructure for Generative AI platforms.
AI/ML Workloads: If applicable, demonstrate your experience with AI/ML workloads, model deployment, or MLOps. Explain how you have supported the development and deployment of Generative AI platforms in your previous roles.
Data Storage & Pipelines: Highlight your experience with data storage solutions and ETL/ELT concepts. Explain how you have ensured data integrity and compliance with privacy standards in your previous roles.
API Integrations: Demonstrate your experience with API integrations, API gateways, and service mesh components for multi-channel deployments. Explain how you have ensured compliance with privacy, GDPR, and secure data handling standards in your previous roles.

📝 Enhancement Note: Inetum's interview process is designed to evaluate the candidate's technical skills, cultural fit, and alignment with the company's values. The interview questions and portfolio presentation strategy provided are tailored to the role of DevOps Engineer, with a strong focus on cloud infrastructure management and a preference for Microsoft Azure.

📌 Application Steps

To apply for this DevOps Engineer position at Inetum:

Tailor Your Resume: Highlight your experience with cloud infrastructure management, automation, and data storage solutions. Emphasize your proficiency in Microsoft Azure and any relevant experience with AI/ML workloads, model deployment, or MLOps.
Prepare Your Portfolio: Showcase your ability to design, implement, and manage secure, scalable, and highly available cloud infrastructure for Generative AI platforms. Include examples of your experience with data storage solutions and ETL/ELT concepts, with a focus on secure data handling and compliance with privacy standards.
Research the Company: Familiarize yourself with Inetum's focus on digital transformation and strategic partnerships with major technology giants. Understand the company's culture, values, and approach to collaboration and teamwork.
Prepare for the Interview: Brush up on your knowledge of Microsoft Azure, with a focus on cloud infrastructure management, automation, and data storage solutions. Familiarize yourself with the latest trends and best practices in cloud security, GDPR compliance, RBAC, and auditability. Prepare for questions about your experience with AI/ML workloads, model deployment, or MLOps, if applicable.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

DevOps Engineer