Chief Software Architect Full Time

Summary:

Matrix42, a leading European service management software vendor with 600 employees, drives digital transformation for clients across Europe. Based in Bucharest, Espoo, or remotely in Romania, the Chief Software Architect will spearhead the shift to a modern, AI-native SaaS platform, leading a 200-strong engineering team to innovate and optimize cloud architecture.

Responsibilities:

• Define and execute the technology and AI strategy in close collaboration with the CTO.
• Lead a highly skilled team of Architects, AI/ML Engineers, and SREs, fostering innovation and technical excellence.
• Drive the modernization of our existing SaaS platform, ensuring scalability, performance, security, and cost-efficiency.
• Containerization & orchestration – Lead cloud transformation initiatives leveraging Kubernetes, Docker, and container orchestration.
• Align the target architecture and AI initiatives across the product portfolio to maximize customer and business value.
• Design and integrate AI-powered capabilities (e.g., predictive analytics, intelligent automation, NLP-based virtual assistants) into the product suite.
• Design and prototype flexible architecture patterns that support deployment across multiple cloud providers (Azure) and on-premises environments to enable our ‘cloud your way’ strategy.
• Design flexible architecture patterns that support deployment across multiple cloud providers (Azure or comparable AWS/GCP) and on-premises environments to enable our ‘cloud your way’ strategy.
• Drive the use of standardized platform components that abstract cloud-specific dependencies while leveraging PaaS where appropriate.
• Implement FinOps practices to optimize cloud spend while maintaining performance and reliability.
• Ensure comprehensive architecture documentation, prioritizing key optimizations based on business needs.
• Together with the CTO and the AI/ML team, the AI Governance Framework will drive our overall AI strategy taking into consideration the use of customer data for ML training purposes.
• Establish a metric-driven governance framework to measure architectural effectiveness and AI-driven solutions.
• Conduct technical due diligence (Tech DD) for potential acquisitions (M&A).
• Coach and enable engineering teams, ensuring architectural practices and responsible AI principles are embedded in development processes.
• Lead internal AI and architecture communities, collaborating closely with C-level executives, Engineering, Cloud Operations, and other key stakeholders.

Requirements:

• 10+ years of experience in commercial software architecture and/or engineering, with a strong background in enterprise software.
• 2+ years of experience designing products that include AI/LM enabled functionality.
• Bachelor’s or master’s degree in computer science, Software Engineering, AI/ML or a related field preferred.
• Proven experience in leading an architecture function within a fast-paced SaaS or enterprise software company with products in different phases of their lifecycle.
• Track record of modernizing existing architectures, ensuring scalability, AI-readiness, high availability, and performance across a product portfolio.
• Strong people management and virtual team leadership experience, including ability to bring together and motivate development and product teams to align and execute on a joint architecture plan and rhythm.
• 10+ years of experience in C# or Java development, with exposure to AI/ML frameworks (e.g., TensorFlow, PyTorch, ML.NET).
• 8+ years of hands-on experience with Microsoft Azure Cloud (and/or AWS, GCP), including Azure AI/ML services, Cognitive Services, and OpenAI APIs.
• 5+ years of experience with containerization technologies (Docker, Kubernetes) and service mesh architectures.
• Experience with cloud cost management and optimization techniques across different deployment models.
• Knowledge of data residency, sovereignty, and compliance requirements for distributed cloud deployments.
• Experience in AI/ML architecture design, including model lifecycle management, MLOps, and AI ethics considerations.
• Experience in building and managing large-scale SaaS platforms, supporting thousands of customers.
• Strong communication and stakeholder management skills, capable of aligning C-level executives, engineering teams, and business leaders.

Benefits:

• By using our platform, customers can manage IT and business processes, assets, endpoints, and identities for improved productivity, agility, security, and employee experience.
• By enabling digital working environments and IT self-service through holistic integration and automated processes, we digitalize and automate our customers’ everyday tasks.
• Join our diverse team of 600 professionals spread across Europe.
• Our culture is built on strong values, with customer success as our top priority.
• We support your personal and professional growth, helping you reach your full potential through personalized goals.
• Join us on a journey where you can thrive in both your career and personal life.