Software Architect (m/f/d)

Position Software Architect (m/f/d)

Location

Available to candidates located in Poland We are seeking a seasoned Software Architect (m/f/d) to own the technical vision and direction for a strategic cloud engineering group at Aras — the team behind our next-generation cloud-native services that redefine how PLM data is accessed integrated and composed across the enterprise. This is a high-impact high-autonomy role at the intersection of platform architecture product delivery and engineering leadership. You will set the architectural north star across three cross-functional teams and two production SaaS services — a low-code API management platform and a frontend application toolkit — shaping the foundation that thousands of PLM users and integrations depend on every day. You will also engage directly with customers and partners — gathering real-world feedback validating architectural decisions against production use cases and representing Aras's technical vision externally. We are looking for someone who doesn't just tolerate AI-assisted ways of working — but actively leads by example using AI to accelerate architecture exploration produce high-quality design artifacts faster and raise the bar for what a small team can deliver. If you thrive on solving hard distributed systems problems love driving clarity in complex multi-team environments and want your architectural decisions to matter at product scale — this role is for you.

Key Responsibilities

Domain Architecture Define and own the group's target architecture domain boundaries core components service responsibilities and key integrations — and keep it intentionally evolving not just initiative-driven. Set and enforce technical direction and guardrails across all teams ensuring design consistency and coherence at scale. Act as the final technical decision-maker within the group's domain evaluate and approve major design proposals refactors and technology changes. Author and maintain architecture documentation and governance artifacts — reference architectures ADRs design principles. Feature-Level Architecture Lead architecture elaboration at the feature level scope design and document architectural solutions for new capabilities quickly and to a high standard. Produce clear well-structured architecture diagrams and design artifacts that teams can act on immediately — using AI tooling to accelerate output without sacrificing quality. Validate feasibility of proposed solutions early surface architectural risks constraints and trade-offs during discovery. Propose solution options and help product and engineering teams make confident well-informed decisions. Technical Strategy & Roadmap Own the group's technical roadmap identify prioritize and drive resolution of technical debt architectural risks and modernization opportunities. Define domain-level non-functional requirements — performance security reliability observability — and ensure they are met consistently across services. Guide PoCs and architectural spikes to reduce uncertainty and de-risk delivery without owning execution. AI-Augmented Ways of Working Actively champion and model AI-assisted architecture practices across the group use AI agents and tools for architecture exploration design generation documentation and diagramming. Drive adoption of AI agents within engineering workflows — identifying opportunities where AI can accelerate delivery reduce toil or improve output quality. Lead the group's efforts to make codebases and repositories more AI-friendly improving structure documentation and conventions so AI tooling can be applied effectively by all engineers. Stay current on the evolving AI tooling landscape and bring relevant practices into the group proactively. Cross-Group & Initiative Collaboration Represent the group in initiative-level architecture forums partner with cross-group architects on shared platform solutions. Translate initiative goals into group-level architectural scope and sequencing protecting domain integrity while enabling delivery velocity. Collaborate with cloud infrastructure DevSecOps and security partners to ensure solutions meet enterprise-wide standards. Engage with customers partners and key stakeholders to gather technical feedback validate architectural direction and communicate platform capabilities. Resolve cross-domain dependencies and design conflicts escalate when needed. Engineering Leadership Mentor Tech Leads and senior engineers — sharpen decision quality raise the bar on design clarity and build architectural consistency across teams. Elevate the technical culture of the group through candid feedback structured design reviews and leading by example. Required Skills & Experience 8+ years in software engineering with 3+ years in a software architect or principal engineer role owning architecture across multiple teams. Deep expertise in cloud-native multi-tenant SaaS on Microsoft Azure — AKS Azure Front Door CosmosDB Terraform. Strong backend architecture skills in .NET with RESTful/OData API design at scale. Proven experience designing multi-region highly available distributed systems with real DR requirements. Solid foundation in Infrastructure-as-Code and modern CI/CD practices. Security-first mindset hands-on experience with SOC 2 API security CIAM/identity integration and zero-trust architecture. Track record of driving cross-team architectural alignment resolving design conflicts and making defensible technology decisions. Active hands-on user of AI tools in day-to-day architecture and engineering work — not as a novelty but as a core productivity practice. Strong communicator — equally effective with engineers product managers and senior stakeholders.

Preferred Qualifications

Experience with low-code platforms or API management products. Background in PLM ERP or enterprise data integration domains. Experience building developer-facing toolkits — SDK/CLI design React component libraries npm ecosystems. Familiarity with composable architecture and AI-powered workflow integration patterns. Experience authoring ADRs and lightweight architectural governance frameworks. Demonstrated experience leading AI adoption within an engineering team — tooling workflow integration or codebase modernization for AI-readiness. Why This Role Matters Aras is in the middle of a deliberate shift toward composable cloud-delivered PLM experiences — and this group is at the center of it. The services you will architect are the connectivity layer between Innovator's PLM data and the next wave of AI-powered role-specific applications. You won't be maintaining legacy systems. You will be designing what comes next — and using the best available tools including AI to do it faster and better than anyone thought possible. High ownership. Real impact. A team that ships.