java developer with devops +aws

Cloudxtreme; Hyderabad, Bengaluru, New Delhi; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Cloudxtreme in Hyderabad is seeking an experienced Senior Java Backend Engineer with a strong SRE and DevOps mindset. You will bridge software development and IT operations to maintain a reliable, scalable microservices architecture built with Java and Spring Boot on AWS.

Responsibilities include designing backend services, managing Kubernetes deployments, optimizing PostgreSQL, MongoDB, Oracle, and Redis data stores, and implementing CI/CD, monitoring, and incident response to ensure high

Qualifications

• 7+ years of professional backend software engineering experience with focus on SRE/DevOps or infrastructure reliability.
• Expert-level proficiency in Java and Spring Boot.
• Deep hands-on experience with AWS core services (EC2, ECS/EKS, RDS, IAM, S3, CloudWatch).
• Proven production experience managing workloads with Kubernetes and Docker.
• Strong background with relational and NoSQL databases: PostgreSQL, MongoDB, Oracle, Redis.
• Solid understanding of IaC, CI/CD toolchains, automated monitoring, and incident response frameworks.

Responsibilities

• Architect, build, and maintain scalable microservices using Java and Spring Boot.
• Design, provision, and manage resilient cloud infrastructure on AWS.
• Deploy, scale, and monitor applications with Kubernetes for high availability.
• Oversee database schemas, performance tuning, and query optimization across PostgreSQL, MongoDB, Oracle, and Redis.
• Implement CI/CD pipelines, automated testing, logging, and monitoring to minimize downtime.

Skills

Java

Spring Boot

SRE

DevOps

AWS

Kubernetes

Docker

PostgreSQL

MongoDB

Oracle

Redis

IaC

CI/CD

Monitoring

Incident response

Tools

Docker

ECS/EKS

Jenkins

Terraform

CloudWatch

RDS

Job description

Role & responsibilities

We are seeking an experienced Senior Java Backend Engineer with a strong SRE and DevOps mindset to join our core engineering team. In this role, you will bridge the gap between software development and IT operations, ensuring our scalable, high-performance microservices architecture remains reliable, secure, and highly efficient.

You will design robust backend systems using Java and Spring Boot, optimize cloud infrastructure on Amazon Web Services (AWS), manage containerized deployments via Kubernetes, and oversee complex data pipelines across multiple database engines.

Key Responsibilities

• Backend Development: Architect, build, and maintain scalable microservices using Java and Spring Boot.
• Infrastructure & Cloud Operations: Design, provision, and manage resilient cloud infrastructure primarily on Amazon Web Services (AWS).
• Containerization & Orchestration: Deploy, scale, and monitor applications using Kubernetes to ensure high availability and zero-downtime deployments.
• Database Management & Optimization: Oversee schema design, performance tuning, and query optimization across PostgreSQL, MongoDB, Oracle, and Redis caching layers.
• SRE & Reliability: Implement robust CI/CD pipelines, automated testing, logging, and monitoring solutions to minimize downtime and enhance system observability.
• Collaboration: Partner with development, QA, and security teams to embed best practices for reliability, security, and performance early in the software development lifecycle.

Required Skills & Qualifications

• Experience:7+ years of professional backend software engineering experience, with a dedicated focus on SRE, DevOps, or infrastructure reliability.
• Core Languages & Frameworks: Expert-level proficiency in Java and Spring Boot.
• Cloud & DevOps: Deep hands-on experience with Amazon Web Services (AWS) core services (e.g., EC2, ECS/EKS, RDS, IAM, S3, CloudWatch).
• Orchestration Tools: Proven production experience managing workloads with Kubernetes and Docker.
• Database Expertise: Strong background working with relational and NoSQL databases, specifically PostgreSQL, MongoDB, Oracle, and in-memory data stores like Redis.
• Practices: Solid understanding of Infrastructure as Code (IaC), CI/CD toolchains, automated monitoring, and incident response frameworks