Cloud-Native Software​/Solutions Architect

Cloud‑Native Software / Solutions Architect Responsibilities

• Design and lead the strategy for cloud‑native application architectures, ensuring high availability, scalability, and resilience across hybrid or multi‑cloud environments.
• Bridge the gap between development and operations by championing Dev Ops and Dev Sec Ops  cultures, automating CI/CD pipelines, and integrating security into the build process.
• Drive modernization initiatives
  , migrating legacy monolithic systems to microservices, serverless, or containerized architectures using cloud‑native design patterns.
• Leverage AI‑assisted software engineering tools (e.g., Git Hub Copilot, ChatGPT Enterprise) to optimize the SDLC, enhancing developer productivity, code quality, and reliability.
• Collaborate with stakeholders to translate business goals into technical roadmaps, selecting the right mix of cloud providers (AWS, Azure, GCP) and platforms (Red Hat Open Shift, Kubernetes).
• Provide hands‑on technical leadership to development teams, conducting code reviews and ensuring best practices in software development (Java, C#, Python, or Node.js).
• Define and enforce standards for infrastructure as code (IaC), automated testing, and release management to accelerate time‑to‑market.
• Mentor senior developers and engineers
  , fostering a culture of continuous improvement and technical excellence.

• Strong analytical and problem‑solving skills
  , with the ability to navigate complex architectural challenges in distributed systems.
• Proven experience in leading technical teams and influencing decision‑making at a strategic level.
• Strong communication skills
  , capable of explaining complex cloud‑native concepts to non‑technical stakeholders and C‑level executives.
• Deep understanding of software development methodologies
  , particularly Agile and Scrum, with a focus on iterative delivery.
• Willingness to keep up to date on the rapidly evolving Cloud Native Computing Foundation (CNCF) landscape, following training and obtaining relevant certifications (e.g., CKA, AWS Solutions Architect).
• Fluency in Dutch or French and good command of English.
• Strong software development background with mastery of at least one major language such as Java, C#, Python, or Node.js, and a solid understanding of the others.
• Expert knowledge of Cloud‑Native architectures
  , including Microservices, Event‑Driven Architecture, and Serverless patterns.
• Proven experience with application modernization strategies
  , effectively refactoring or re‑platforming legacy applications into cloud‑native ecosystems (Strangler Fig pattern, Anti‑Corruption Layer, etc.).
• Demonstrated experience implementing AI‑assisted engineering
  , utilizing Generative AI tools to automate boilerplate code, generate unit tests, and improve documentation reliability.
• Extensive experience with Containerization and Orchestration
  , specifically Docker, Kubernetes, and enterprise platforms like Red Hat Open Shift.
• Proficiency in one major cloud platform (AWS, Azure, or GCP) with the ability to design cloud‑agnostic or hybrid solutions.
• Strong understanding of Dev Ops and Dev Sec Ops  principles
  , with hands‑on experience setting up CI/CD pipelines (Jenkins, Git Lab CI, Azure Dev Ops) and Test Automation.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloud Formation.
• Experience or certifications in Architecture Framework or Modelling (TOGAF, C4, Archi Mate, …) are considered as assets.

• Work as part of the Data & AI Factory team, supporting the customer in data‑ops and AI projects.
• Design, build, maintain and troubleshoot data pipelines, models and transformations.
• Help build, maintain and troubleshoot data observability solutions to improve data quality.
• Turn data into valuable business insights, preparing custom solutions optimised for each client.
• Act as a trusted advisor for junior team members and lead by example.

• Mid‑level engineer who enjoys breadth and is comfortable writing Python backends.
• Curious about AI, not afraid of data pipelines, communicates well, and gets things done.
• Exposure to data engineering concepts, pipelines, SQL, and…