Posted Apr 25, 2026
You will be responsible for designing end-to-end solution architectures covering application, integration, data, security, and infrastructure layers. Your key responsibilities will include:
Evaluating trade-offs and driving decisions aligned with business priorities, risk, and long-term sustainability. - Architecting Java / Spring Bootbased microservices and cloud-native platforms. - Providing architectural guidance for fullstack applications, including backend services, APIs, and modern front-end frameworks. - Guiding modernization initiatives, including legacy transformation, cloud migration, and platform re-architecture. - Defining cloud architectures on Azure / AWS (Azure preferred), including containers, Kubernetes, and managed services. - Incorporating AI / GenAI capabilities (e.g., intelligent automation) into enterprise solutions where applicable. - Ensuring solutions meet non-functional requirements: scalability, performance, resilience, security, and compliance. - Producing and owning architecture deliverables: HLDs, LLDs, solution diagrams, and design reviews. - Collaborating with product managers, engineering teams, and enterprise architecture/governance bodies. - Mentoring senior engineers and influencing best practices across teams. You should have the following required skills & experience:
Java, Spring Boot, REST APIs, microservices architecture. - Fullstack development exposure (backend + UI technologies). - Strong experience with cloud platforms (Azure / AWS / GCP). - Event-driven architectures (Kafka, messaging). - Containers & orchestration: Docker, Kubernetes. - DevOps & CI/CD concepts and tooling. - Working knowledge of AI / ML or Generative AI solution patterns. - Excellent system design, communication, and stakeholder management skills. You should have the following required skills & experience:
Java, Spring Boot, REST APIs, microservices architecture. - Fullstack development exposure (backend + UI technologies). - Strong experience with cloud platforms (Azure / AWS / GCP). - Event-driven architectures (Kafka, messaging). - Containers & orchestration: Docker, Kubernetes. - DevOps & CI/CD concepts and tooling. - Working knowledge of AI / ML or Generative AI solution patterns. - Excellent system design, communication, and stakeholder management skills.
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