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Verified Job IT / Software / Data Analyst

Java Backend Developer + AWS

Bengaluru, Karnataka
IT / Software / Data Analyst
#50564
Remote / WFH
Tenarai

Job Description

Company Description Tenarai is an enterprise AI acceleration partner that helps Fortune 500 organizations turn AI potential into measurable business outcomes. Headquartered in Silicon Valley, the company combines ***** engineering talent, deep domain expertise, and close customer collaboration to deliver high-impact results. Tenarai operates globally as an Apax Funds portfolio company, with offices across the US, UK, and Singapore, and delivery centers in key technology hubs worldwide. The organization is focused on using AI as a growth engine for enterprises by prioritizing tangible, outcome-driven solutions. Team members join a fast-moving environment that sits at the intersection of advanced technology and real-world business impact.

Role Description :

Experience Range: 6 - * Years

Location: All Tenarai Location

Required Skills: Java, Spring Boot, Microservices, APIs, DSA & AWS Cloud

Key Responsibilities:
• Backend Development & Microservices: Design, develop, and maintain scalable backend systems, microservices, and RESTful APIs using Java to support high-traffic web and mobile applications.
• Cloud & Infrastructure Management: Develop and deploy cloud-native applications on AWS leveraging services such as EC2, Lambda, RDS, S3, IAM, and CloudWatch for scalable and secure operations.
• Containerization & Deployment: Implement containerized application architectures using Docker and Kubernetes (K8s) while supporting CI/CD automation and deployment best practices.
• Performance Optimization & Monitoring: Enhance system performance, scalability, reliability, and security through monitoring, logging, alerting mechanisms, and continuous optimization initiatives.
• Collaboration & Quality Assurance: Collaborate with frontend developers, DevOps engineers, architects, and product managers while participating in code reviews, unit testing, and continuous improvement processes.
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