ML Workflow Automation Architect

The role is deeply hands-on, with a strong focus on Java-based microservices, Azure API Gateway integrations, hybrid connectivity, and secure cloud adoption.

Key Responsibilities :

• Design and develop core application services using Java, Spring Boot, and RESTful APIs.
• Collaborate with the architect to define service boundaries, API contracts, and data models.
• Implement and manage Azure API Gateway integrations, including policies for authentication, throttling, and observability.
• Develop secure, token-based integrations using OAuth 2.0 / OIDC and Azure Key Vault.
• Build and optimize microservices and event-driven components for transactional and data-intensive workloads.
• Integrate with Azure services such as Event Hub, Cosmos DB, and Functions to enable hybrid architectures.
• Contribute to data pipelines and messaging frameworks supporting analytics and telemetry.
• Troubleshoot complex issues across distributed systems, ensuring performance and reliability.
• Implement observability best practices - structured logging, metrics, and tracing across services.
• Participate in architecture reviews and bring forward practical, forward-looking technology solutions aligned with enterprise standards.

Required Skills & Experience :

10 12 years of experience in enterprise application development, with deep hands-on expertise in Java, Spring Boot, and distributed systems. Strong working knowledge of Azure API Management (API Gateway) - including policy design, security configuration, and gateway-service integrations. Experience with Azure cloud components such as App Services, Functions, Cosmos DB, Event Hub, and Key Vault. Solid understanding of hybrid integration patterns, including secure on-prem cloud connectivity. Proven ability to implement API security, identity, and encryption best practices. Familiarity with data pipelines, asynchronous messaging (Kafka / Event Hub), and observability tooling. Exposure to AI / ML or analytics workflows is a plus. Excellent problem-solving and debugging skills; able to design and code at production level.