Position: Cloud Engineering – Architect (Java & AWS)
Location:
Bangalore
Work Mode:
Hybrid
Experience:
8+ Years
Position Summary
We are looking for a Cloud Engineering Architect with strong expertise in Java backend development, cloud-native architecture, and AWS engineering. The role focuses on designing and delivering scalable, resilient, event-driven microservices platforms on AWS while providing architectural leadership and technical governance.
The ideal candidate brings deep hands-on experience in Java (8–17), Spring Boot, Microservices, Kafka, Kubernetes, and AWS, along with proven experience modernizing enterprise systems into cloud-native architectures.
Key Responsibilities
Architect and design scalable cloud-native solutions on AWS (EKS, ECS, Lambda, S3, SQS, SNS, API Gateway, Redshift, Glue).
Lead microservices and event-driven architecture implementations using Java and Spring Boot.
Drive monolith-to-microservices modernization initiatives.
Define API contracts, domain models (DDD), and integration patterns.
Implement containerization using Docker and orchestration via Kubernetes.
Establish CI/CD pipelines and DevOps best practices.
Ensure system scalability, performance tuning, resilience, and cost optimization.
Provide architectural leadership, mentor engineering teams, and enforce coding standards.
Collaborate with business stakeholders to translate requirements into scalable technical solutions.
Required Skills
8+ years of strong Java backend development experience.
Expertise in Spring Boot, Microservices, and Distributed Systems.
Hands-on AWS experience (EKS, ECS, Lambda, S3, SQS, SNS, API Gateway).
Strong experience with Kafka and event-driven systems.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Strong knowledge of relational and NoSQL databases (PostgreSQL, Oracle, MySQL, MongoDB, Redis).
Strong understanding of cloud-native architecture, scalability, and resilience patterns.
Preferred
AWS Certification.
Experience in large-scale enterprise or financial platforms.
Exposure to OLAP/Data Engineering (Redshift, Glue).
Strong leadership and stakeholder management experience.
