Digital Architect

• Maintain high-quality documentation of architectural decisions, interfaces, and infrastructure blueprints using internal wikis, diagrams, and Confluence spaces.
• Architect and implement distributed backend systems and microservices using Java and, eventually, Python, following best practices in performance, resilience, and security.
• Apply DevSecOps principles to ensure continuous security, compliance, and traceability across cloud-native systems.
• Evaluate and integrate emerging technologies relevant to the energy domain, including edge computing, time-series data platforms, and asset modeling (e.g., digital twins).
• Define and drive the adoption of architectural standards, technical design patterns, and cloud governance practices across engineering teams.
• Lead the design and evolution of cloud-native architectures for scalable, maintainable, and secure digital platforms, with a strong emphasis on Google Cloud, while also leveraging experience with AWS and/or Azure.
• Collaborate with cross-functional stakeholders to translate business and operational requirements into scalable and future-proof technical solutions.
• Act as a technical mentor for senior developers and tech leads, fostering a culture of architectural thinking, system ownership, and continuous improvement.
• Collaborate with machine learning and data engineering teams to integrate intelligent processing pipelines and decision-support systems into production platforms.
• Design and govern Kubernetes-based deployment strategies across environments, ensuring robust container orchestration, service mesh integration, and operational observability.
• Provide expert guidance on CI/CD pipeline design, GitOps workflows, and infrastructure-as-code strategies using tools like Terraform, Cloud Build, or GitHub Actions.
• Integrate software platforms with industrial systems such as SCADA, OPC-UA, and IoT data sources, enabling secure and reliable interaction with physical assets in energy environments.

Combines deep software engineering expertise with a strategic mindset for designing cloud-native, data-driven architectures. The ideal candidate has a strong background in backend development, CI/CD pipelines, and modern cloud platforms, and is comfortable working across software, infrastructure, and data layers. Prior experience with SCADA systems, industrial IoT, or mission-critical architectures in the energy sector is highly valued. This role requires both hands-on technical skill and the ability to guide cross-functional teams in building scalable, maintainable, and secure digital platforms.

• Deep knowledge of containerization (Docker) and orchestration with Kubernetes, including production-grade deployments.
• Experience integrating software platforms with industrial systems such as SCADA, OPC-UA, modbus, or other industrial IoT protocols.
• Proficiency in infrastructure-as-code and CI/CD design using tools like Terraform, Cloud Build, GitHub Actions, or equivalent.
• Excellent communication and collaboration abilities. Fluent in English (working language).
• Demonstrated experience architecting cloud-native platforms, ideally with hands-on expertise in Google Cloud Platform (preferred), plus working knowledge of AWS and/or Azure.
• Proven expertise in designing RESTful and event-driven APIs, microservices, and distributed systems.
• Comfortable working with relational and NoSQL databases, including performance and scalability trade-offs.
• Strong understanding of DevSecOps principles and cloud security best practices.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
• Excellent leadership, communication, and collaboration skills across technical and business stakeholders.
• Advanced proficiency in Java (preferred) and/or Python, with strong understanding of scalable backend architectures.
• 10+ years of professional experience in software engineering, including 3+ years in solution or enterprise architecture roles.
• Ability to translate business and operational needs into scalable, secure, and maintainable technical architectures.