Brainbox Consulting BV aligning great talent with clients’ needs is at the core of who we are. We are passionate about our Consultants, our Clients, and our Partners. Our rich IT legacy combined with our unyielding care for our people and business is the driving force behind all we do, and we deliver!

On this journey, we are looking for a passionate and pro-active Devops Lead Engineers who can drive the regular reports of our Information Security initiatives and projects.

Role and responsibilities

• As a DevOps Lead Engineer your primary goal is provide our developers with the best DevOps environment possible.
• You drive implementation of DevOps tooling and a DevOps Way of Working.
• You boost automation for CI/CD by developing automated pipeline setups.
• You identify differences and commonalities across the various platforms and way of working already defined and used in the organization.
• You drive the deployment, validation and qualification strategy which fits our product incremental development needs best.
• You find & implement the right CI/CD architectural style together with deployments strategies to allow flexibility while harmonizing at the same time.
• You communicate & align our solutions & proposals to the DevOps & CI Experts in the various similar groups.
• You carry over DevOps best practices & state of the art tooling from the Cloud DevOps world to our SW development teams.
• You follow the evolution of new software technologies, consider them in the design of future architectures and drive forward their implementation.

Education
Experienced BSc or MSc in computer science or software engineering

Professional Experience

• 5 years of professional SW development experience with C#, Java, and/or Python
• 3 years of experience with defining and setting-up deployment strategies in Cloud platforms (preferably Azure)
• Experience with infrastructure as code tools (Terraform, Ansible, Puppet)
• Experience with containers and their orchestration
• Experience with data pipelines and data storages
• Understanding of microservices architecture
• Affinity with machine learning platforms and technologies