Angular Architect

We are looking for a hands-on Principal Engineer who owns enterprise integration architecture from end to end - from the first whiteboard sketch through production delivery and ongoing governance. This is not a management role, and it is not a specialist role. We are not looking for an Angular architect, a Java architect with cloud exposure. We need a true Full Stack Integration Architect who has designed, built, and governed how large-scale enterprise systems connect, communicate, and operate reliably at scale. You will be expected to go deep on integration design, backend engineering, data architecture, cloud infrastructure, and front-end development - and to defend every decision under rigorous technical scrutiny. If your experience is anchored in one layer or one language, this is not the right opportunity.

What You Will Own

• End-to-end integration architecture across cloud platforms (AWS, Azure, Google Cloud Platform), on-premises systems, and third-party services - designed, delivered, and governed by you
• Definition and enforcement of integration patterns across the enterprise: API-first, microservices, event-driven, and real-time and batch processing
• Seamless data flow, application interoperability, and fault tolerance across mission-critical platforms
• Quality and testing strategy across integrated solutions - automation frameworks, release readiness, validation, and quality governance
• Full-stack engineering across all layers: front-end, backend services, data, and cloud infrastructure
• GenAI and LLM integration into production-grade digital platforms
• Technical mentorship across engineering levels and cross-team architectural influence
• Clear communication of complex architectural decisions to both engineering teams and business stakeholders, * You are primarily an Angular Architect, a Java architect, or strong in one layer only - this role demands genuine end-to-end depth across the full stack
• You cannot walk through the architecture, implementation decisions, and tradeoffs of your own recent projects with technical precision
• You have not designed or governed integrations at enterprise scale across distributed, heterogeneous systems
• Your backend, database, or integration experience is surface-level, theoretical, or limited to a single technology

Why This Role This role carries real architectural authority at a large enterprise. You will set integration direction across business-critical platforms, influence engineering standards, and solve problems that matter at significant scale. The technical bar is deliberately high - because the impact is real.

• 15+ years of hands-on software engineering experience with a strong track record in enterprise-scale distributed systems
• Proven end-to-end integration architecture experience - you have designed, governed, and delivered enterprise integrations across complex, heterogeneous environments; not just implemented someone else’’s design

• Genuine full-stack depth across all layers: o Front-end: Angular, TypeScript o Backend: Java, Python, Go, or Node.js - at least one deeply, others functionally o Data: SQL, NoSQL, caching (Redis), event streaming platforms

• Strong database knowledge in both theory and practice - relational, NoSQL, distributed data, and streaming
• Cloud-native hands-on experience across at least one of AWS, Azure, or Google Cloud Platform - Kubernetes, Docker, and Infrastructure as Code (Terraform) are expected
• CI/CD pipeline experience tied to enterprise release cycles and quality governance
• The ability to clearly articulate the technical design, tradeoffs, and problem-solving approach behind your own recent work - this will be probed in depth during interviews

Integration & API Technologies You should have hands-on experience across several of the following: REST · GraphQL (Apollo Federation or similar) · gRPC · Kafka or equivalent event streaming · Microservices architecture · Event-driven architecture · B2B and internal system integrations · Real-time and batch integration patterns

What Will Strengthen Your Profile

• Google Cloud Platform-native database experience: BigQuery, Spanner, Bigtable
• Production-grade GenAI or LLM integration - not just prototypes or proof of concepts
• Experience with AI development tools: Cursor, GitHub Copilot, Vertex AI Studio, Claude Code
• Healthcare or regulated-industry platform experience
• MLOps or AI lifecycle management
• Identity, security, and privacy architecture at enterprise scale
• Observability tooling: Datadog, Prometheus, Grafana