Senior Java Cloud Architect / Tech Lead

Daily Duties & Responsibilities

• Lead the design and development of large-scale, distributed systems using Java, Spring Boot, Spring Cloud, Python, and cloud platforms (AWS & Azure).
• Design, integrate, and optimize SQL and NoSQL databases including Oracle, MSSQL, MySQL, DynamoDB, and CosmosDB.
• Architect, deploy, and manage applications on AWS using services such as Lambda, Glue, ECS/EKS, EC2, S3, RDS, DynamoDB, SQS/SNS.
• Design and implement cloud solutions on Azure, leveraging AKS, App Services, Function Apps, Blob Storage, and Azure SQL.
• Implement cloud governance, cost optimization, security hardening, and monitoring strategies.
• Lead automation initiatives using Python for ETL workflows, infrastructure automation, and cloud scripting.
• Architect container-based solutions using Docker, Kubernetes (EKS/AKS), and GitOps platforms.
• Define, implement, and maintain enterprise-grade CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, and AWS CodePipeline.
• Collaborate closely with Product Owners, Cloud Architects, QA teams, and DevOps engineers.
• Lead incident investigations, performance tuning, and production stabilization efforts.

Required Skills (Ranked by Importance)

1. 15+ years of enterprise application development experience using Java, Spring Boot, and Python.
2. 6+ years of strong hands-on experience with AWS and Azure cloud architecture and services.
3. 6+ years of advanced Python scripting and automation experience.
4. 6+ years of deep expertise in microservices, distributed systems, and cloud-native architecture.
5. 6+ years of hands-on experience with Docker, Kubernetes, Git, and CI/CD pipelines.
6. 6+ years of strong experience with SQL and NoSQL databases.

Preferred Skills (Ranked by Importance)

1. 6+ years of experience working with emerging technologies and driving innovative solutions.
2. 6+ years of experience delivering robust, low-defect software, with the ability to clearly articulate design and implementation decisions.
3. 6+ years of strong testing and validation experience, including working with simulated data environments.

Education / Certifications

• Bachelor s degree in Computer Science or equivalent practical experience.