Were hiring a Senior Architect to shape our end-to-end architecture across domains, services, APIs, cloud infrastructure, and platform foundations while guiding how AI and automation integrate into our systems.
You will lead high-impact architectural initiatives that shape the future of our products and platforms. Youll tackle complex, company-wide challenges such as redefining service boundaries and domain models for scale, transitioning legacy flows into modern cloud-native and event-driven architectures, and establishing shared platform components that accelerate development across teams. You will also define secure, scalable patterns for AI-driven workflows and integrations, influencing the technical direction and enabling the next generation of product capabilities.
This is a high-impact role influencing how we build, scale, and deliver software across the entire company.
Responsibilities
Own the architecture across our platforms, services, and domains.
Define standards for microservices, APIs, integrations, domain boundaries, reliability, and data flows.
Lead high-level solution design across multiple business and technical areas.
Own AWS architecture: scalability, resilience, networking, security, observability, and cost optimization.
Drive architecture reviews and cross-company engineering decisions.
Guide our approach to AI integration (ADLC), defining patterns and architectural guardrails.
Evaluate and integrate emerging technologies with meaningful business impact.
Build and evolve the Engineering Platform (templates, paved roads, tooling, SDKs, inner-source foundations).
Collaborate across R&D, Product, DevOps, Security, BI, Marketing, and Sales.
Mentor senior engineers and promote best practices.
Requirements: 10+ years in software engineering, including 4+ years in architecture roles.
Deep expertise in AWS and cloud-native design.
Strong engineering background with experience in modern programming languages (our stack includes .NET and Python).
Proven experience designing large-scale, multi-domain distributed systems.
Experience defining API boundaries and secure, reliable integration patterns.
Ability to design shared standards, reusable components, and platform-wide foundations.
Strong understanding of reliability, observability, quality gates, and production readiness.
Cost-aware architectural decision-making.
Excellent communication, collaboration, and leadership skills.
Advantages
Experience building engineering platforms or developer tooling.
Experience with inner-source models.
Exposure to AI/LLM systems or automation workflows or motivation to grow in this area.
Familiarity with ADLC, LLMOps, or AI governance.
Experience with automation tools (n8n, Make, Zapier, Airplane).
Background in data/analytics architecture.
This position is open to all candidates.