Cloud Engineering - Architect (Java & AWS )

Saarthee
Bengaluru, Karnataka

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Job details

Qualifications

Spring Boot
CI/CD
Oracle
Cloud architecture
Kubernetes
Enterprise Software
AWS Certification
NoSQL
MongoDB
Java
Databases
Microservices
AWS
Docker
PostgreSQL
Distributed systems
Continuous integration
Redis
Back-end development
APIs
Scalability
S3
Kafka
Redshift
Spring framework
MySQL

Full job description

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.

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