About the role 

The Lead DevOps Engineer is a senior technical leader responsible for designing, building, and optimizing enterprise-scale software systems and cloud platforms. This role combines deep technical expertise with leadership in DevSecOps, platform engineering, and cloud architecture. The Lead DevOps Engineer drives innovation, ensures engineering excellence, and leads cross-functional initiatives to deliver secure, scalable, and high-performing solutions. This position also plays a key role in mentoring teams, influencing technical strategy, and integrating emerging technologies such as generative AI into engineering practices. 

As part of our dynamic DevOps community, you’ll join a global network of passionate tech professionals who collaborate, support, and inspire each other across borders. You’ll have the opportunity to: 

• Attend flagship events like Wolters Kluwer Technology Summit 

• Participate in industry-leading conferences such as Ignite 

• Compete in exciting challenges like the Code Games 

We believe in continuous learning, innovation, and celebrating success together. 

You will 

• Lead the design and engineering of scalable, secure, and resilient enterprise software and cloud platforms. 

• Define and implement best practices in software development, DevSecOps, and infrastructure automation. 

• Oversee the deployment, monitoring, and maintenance of platforms using SRE principles. 

• Architect and manage cloud infrastructure (AWS, Azure, GCP), ensuring performance, cost-efficiency, and compliance. 

• Lead the development and optimization of CI/CD pipelines and Infrastructure as Code (IaC) practices. 

• Guide the adoption of containerized and serverless architectures (e.g., Docker, AKS, Azure Functions). 

• Ensure adherence to security standards, conduct risk assessments, and lead compliance initiatives. 

• Translate complex business requirements into scalable technical solutions and roadmaps. 

• Mentor and coach engineering teams, fostering a culture of continuous improvement and innovation. 

• Explore and integrate generative AI technologies to enhance software capabilities and automation. 

You have 

Education 

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field. 

Experience 

• Minimum of 7 years of experience in software engineering, DevSecOps, or platform engineering. 

• At least 3 years in a technical leadership role. 

• Minimum 2 years of experience with AI and generative AI technologies or equivalent exposure. 

• Proven experience in enterprise-scale application and infrastructure operations. 

Skills 

• Advanced proficiency in scripting languages (e.g., Bash, Python) for automation and infrastructure tasks. 

• Deep expertise in programming frameworks (.NET, Java) and modern application development. 

• Extensive experience with Terraform and other IaC tools, including module development and maintenance. 

• Proficiency with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI, GitHub Actions). 

• Strong architectural knowledge of cloud platforms (AWS, Azure, GCP), including service design and deployment. 

• Familiarity with SRE practices and tools for monitoring, incident management, and performance tuning. 

• Strong analytical, problem-solving, and decision-making skills in complex technical environments. 

• Excellent communication and collaboration skills, with the ability to influence stakeholders and lead teams. 

• Relevant certifications (e.g., PSD, Azure/AWS DevOps) are preferred. 
  
   

  Our Interview Practices

  To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process