Architect - DevEx Strategy

Responsibilities

• Define the architecture and roadmap for the DevEx Strategy domain: reusable service templates, code starter kits, libraries, SDKs, and micro frontend patterns.
• Design and deliver a generic AI integration framework that enables application teams to plug into standard interfaces for data, model orchestration, and UI surface (micro frontends) without bespoke engineering per app.
• Produce reference architectures, blueprints, and hands-on starter projects (backend + frontend + CI/CD + observability) that accelerate new projects.
• Build and maintain reusable components: APIs, SDKs/jars, libraries; keep them secure, documented, and versioned.
• Lead PoCs and prototype solutions that validate architectural approaches and evaluate new technologies (cloud, AI platforms, orchestration tools).
• Drive cross-team collaboration to ensure the templates and frameworks meet real product needs and evolve with feedback.
• Establish standards and best practices around service design, API contracts, authentication/authorization, data access, testing, release automation, and monitoring.
• Mentor and guide engineering teams and architects across the organization on adoption of the frameworks and patterns.
• Partner with product, security, infrastructure and data teams to ensure governance, privacy, compliance, and performance goals are embedded in platform capabilities.
• Participate in architecture reviews and help teams migrate from legacy approaches to standardized solutions.
• Own technical documentation, developer onboarding flows, and demos to help adoption.

Qualifications

• 6+ years of professional software engineering experience with progressive ownership over architecture and platform initiatives.
• Strong architecture background: microservices, event-driven systems, domain-driven design, API design and governance.
• Hands-on experience building reusable libraries/SDKs, starter kits, and reference implementations for other engineering teams to consume.
• Solid cloud experience with cloud (preferably AWS) - design for scalability, reliability and cost-efficiency.
• Practical experience with Docker and CI/CD pipelines.
• Backend expertise in Java / Spring (or equivalent) and demonstrable knowledge of service packaging (jars), dependency management, and versioning.
• Frontend proficiency (Angular, or similar) and experience with micro frontend architectures and patterns.
• Experience designing and consuming RESTful APIs.
• Strong understanding of data integration patterns and connectors for domain datasets.
• Familiarity with observability tools (metrics, tracing, logging) and operational excellence practices.
• Demonstrated ability to lead cross-functional technical initiatives and mentor engineers.
• Excellent communication skills; able to translate architectural tradeoffs for technical and non-technical stakeholders.
• Experience designing frameworks or platforms for AI/ML integration (LLM orchestration, model calling patterns, prompt management, etc.)
• Experience with AI/ML lifecycle tooling or ML platforms (SageMaker, Hugging Face, OpenAI/Anthropic APIs, etc.).
• Knowledge of prompt engineering, retrieval-augmented generation (RAG), embedding stores, and data privacy/safety considerations for AI.
• Familiarity with event streaming platforms and data pipelines.
• Strong security and compliance mindset (IAM, encryption, secure coding practices).
• Open source experience or community contributions to developer tooling.

Education & Experience

• BS/MS in Computer Science, Engineering or equivalent practical experience.
• 6+ years of software development experience; 3+ years in architect/lead technical roles strongly preferred.