Software Architect (m/f/d)

Aras Corporation

9h•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.
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.
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.