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IntraEdge

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Sr. Java Developer

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Summary

Senior Java engineer who designs and maintains scalable Spring Boot microservices and REST APIs, deploys cloud-native apps on AWS/GCP/Azure, and owns CI/CD pipelines, Kubernetes deployments, and Terraform-based infrastructure. A backend role with heavy DevOps/automation responsibilities.

Sr. Java Engineer

Exp – 7+ years

Location: Pune

Skills: Java, Spring Boot, Microservices, Cloud Platforms, and DevOps


We are seeking a highly skilled Sr. Java Engineer with strong expertise in Java, Spring Boot, Microservices, Cloud Platforms, and DevOps. The ideal candidate should have hands-on experience building scalable backend applications, implementing CI/CD pipelines, and deploying cloud-native solutions across AWS and GCP.


Key Responsibilities:

• Design, develop, and maintain scalable Java/Spring Boot microservices and REST APIs.

• Build and deploy cloud-native applications on AWS, Azure, and/or GCP.

• Develop and optimize CI/CD pipelines using Jenkins, Git, Maven, SonarQube, and Nexus.

• Implement containerized deployments using Docker, Kubernetes, Helm, and ECS.

• Automate infrastructure provisioning using Terraform, CloudFormation, and Ansible.

• Work with distributed systems, messaging, and modern software architecture patterns.

• Collaborate with cross-functional teams to deliver high-quality, secure, and reliable applications.

• Support performance tuning, troubleshooting, monitoring, and production deployments.


Required Skills:

• 7+ years of software engineering experience with strong Java, Spring Boot, and Microservices expertise.

• Experience with AWS (EC2, S3, Lambda, IAM, VPC, CloudFormation, RDS, CloudWatch), with exposure to Azure and/or GCP.

• Strong experience with Docker, Kubernetes, Helm, and container orchestration.

• Hands-on expertise in CI/CD using Jenkins, Git, Maven, SonarQube, Nexus, and GitLab/Bitbucket.

• Experience with Terraform, Ansible, and Infrastructure as Code (IaC).

• Good understanding of SQL/NoSQL databases, Snowflake, and cloud data platforms.

• Knowledge of Python, PySpark, ETL, or data engineering is highly desirable.

• Familiarity with Agile development practices and DevOps methodologies.


Preferred Qualifications:

• Experience with Big Data technologies (Spark, Hadoop, Hive) and Machine Learning frameworks is a plus.

• Exposure to Healthcare, Financial Services, or other enterprise environments.

• Excellent communication, problem-solving, and leadership skills.


This role is ideal for a senior backend engineer who combines strong Java development expertise with modern cloud, Kubernetes, and DevOps capabilities to build scalable enterprise applications.

Skills

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