Senior Architect (m/w/d) | Jobs at Matrix42
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Senior Architect (m/w/d)
Bucharest( (hybrid), Remote (Romania)
Full-time
Permanent employee
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Your mission
Key Responsibilities We are seeking an experienced Senior Architect to contribute to the technology vision and architecture function of our 600 person strong company. As The European Choice in Service Management, we help our customers to digitalize and automate their work. We are evolving our SaaS offering towards a modern, AI-native and cost-effective cloud architecture based on a state-of-the-art Tech Stack. The Senior Architect will work closely with the Chief Architect to drive technical transformation, including the architecture evolution following strategic shift. As we transition to a cloud architecture following our ‘cloud your way’ strategy, you will design and implement solutions that leverage PaaS while providing deployment flexibility. This includes creating abstraction layers that shield applications from cloud-specific dependencies, designing for portability and reliability by establishing clear boundaries between standardized components and customizable elements
Collaborate with the Chief Architect to define and execute the Data, Integration and AI strategy
Design and architect solutions for our SaaS platform, ensuring scalability, performance, security, and cost-efficiency
Work with engineering teams to implement architecture patterns and best practices
Contribute to aligning target architecture and AI initiatives across the product portfolio
Containerization & orchestration – Implement cloud transformation initiatives leveraging Kubernetes and related cloud-native technologies
Design and integrate AI-powered capabilities (e.g., predictive analytics, intelligent automation, LLM-based virtual assistants) into specific product areas
Implement flexible architecture patterns that support deployment across multiple cloud providers (Azure or comparable AWS/GCP), private cloud and on-premises environments
Develop platform components that abstract cloud-specific dependencies while leveraging PaaS where appropriate
Apply FinOps practices to optimize cloud spend while maintaining performance and reliability
Create and maintain comprehensive architecture documentation for assigned product areas
Contribute to the metrics-driven governance framework to measure architectural effectiveness
Support technical due diligence (Tech DD) activities for potential acquisitions (M&A)
Mentor and coach engineering teams, ensuring architectural practices and responsible AI principles are embedded in development processes
Participate in internal AI and architecture communities, collaborating with engineering teams, Cloud Operations, and key stakeholders
Your profile
Experience Requirements
5+ years of experience in software architecture, with a strong background in enterprise software, data and integration architecture
Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI/ML, or a related field preferred
Proven experience in architecting solutions within a SaaS or enterprise software company
Track record of contributing to architecture modernization, ensuring scalability, AI-readiness, high availability, and performance
Experience working with distributed teams and collaborating across multiple product areas
Technical Skills
7+ years of experience in C# or Java development, with a deep understanding of software development lifecycle and best practices
5+ years of hands-on experience with Microsoft Azure Cloud (and/or AWS, GCP), including Azure AI/ML services, Cognitive Services, and OpenAI APIs
3+ years of experience with containerization technologies (Kubernetes and related cloud-native technologies) and service mesh architectures
Strong knowledge of microservices architecture, API design, and integration patterns
Strong knowledge of data platforms, storage and serving, and data pipelines technologies
Exposure to AI/ML frameworks and Agentic frameworks (e.g., LangGraph, MS Semantic Kernel) is a plus
Demonstrated experience applying AI/ML tools and techniques to software architecture, system design, and hands-on development — including the use of AI-assisted coding, design automation
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 with large-scale SaaS platforms, supporting thousands of customers
Collaboration & Communication
Strong communication and collaboration skills, capable of working with engineering teams, architects, and technical leaders
Ability to translate technical concepts to both technical and non-technical audiences
Experience mentoring developers and promoting architectural best practices
Why us?
This is a great opportunity t
