Cleareye - Enterprise Architect (18-20 yrs)

About Us :

We are a product-focused FinTech company at the forefront of trade finance innovation.

Our solutions, including the flagship product ClearTrade , combine advanced AI, ML technologies to modernize and streamline global banking operations.

Join a fast-paced, collaborative environment where your expertise will help shape the future of trade finance technology.

Key Responsibilities :

Part of the Product Engineering team, you will work with our product architects and solution architects.

You will be responsible for aligning product design with the target architecture frameworks and supporting major customer implementations and new product initiatives from sprint zero through to the execution phases.

Qualifications :

- Proven track record as an Enterprise Architect or similar role in a product engineering environment, with a focus on designing scalable and reliable systems and providing guidance to product and platform teams.

- Over 18 years of experience designing, building, deploying, testing, maintaining and owning scalable, resilient, and distributed systems.

- Designed solutions using Microservices, APIs, Event Driven Architecture, Caching, etc.

- Develop target architectures ensuring the integration points of customer services and other related services (e. authentication, back office) are consistent, scalable, and robust.

- Own the creation of architecture roadmaps, ensuring alignment across product and platform teams.

- Promote an architectural mindset to translate strategic goals into effective delivery plans.

- Present and communicate complex technical concepts clearly and concisely to diverse audiences.

- Build consensus among a wide range of stakeholders, ensuring their interests are reflected in strategic roadmaps.

- Mentor and collaborate with platform architects, product owners, and peers to achieve impactful outcomes.

- Knowledge of Azure, AWS, GCP or similar cloud platforms.

- Experience with Kubernetes, Docker, and other containerization technologies.

- Strong understanding of AI technologies, including the integration of AI/ML into enterprise systems, driving intelligent automation, and enhancing data-driven decision-making processes.