Java Developer + AI-Driven DevOps Automation

Role & responsibilities

Senior Software Engineer Backend Engineering & AI-Driven DevOps

Experience: 8+ - 10+ Years
Location: Pune / Bangalore
Work Mode: Hybrid
Interview: Face to Face
Shift: UK Shift
Industry: Oil & Gas

About the Role

We are looking for a Senior Software Engineer with strong experience in Java backend development, AWS, DevOps, automation, and AI-based engineering tools.

This role involves both Backend Development and DevOps Automation. You will build scalable backend applications, improve CI/CD processes, automate manual activities, and help modernize cloud platforms.

The ideal candidate should enjoy solving technical problems, automating repetitive work, and working with modern cloud and AI technologies.

What You'll Do

• Develop backend applications and REST APIs using Java and Spring Boot.
• Write clean, reusable, maintainable, and well-tested code.
• Develop unit tests and integration tests and ensure good code quality.
• Design and support scalable and secure applications on AWS.
• Work on AWS cloud services, networking, security, and infrastructure.
• Build and maintain CI/CD pipelines using Jenkins, Azure DevOps, and Git.
• Automate manual processes using Python, PowerShell, Bash, or similar scripting languages.
• Work with Kubernetes and OpenShift.
• Support platform modernization and migration projects.
• Work on Infrastructure as Code and platform engineering.
• Develop monitoring and observability solutions using Splunk.
• Identify opportunities for automation, cost reduction, and operational improvements.
• Explore and implement AI-assisted development, AI agents, LLM tools, and automation frameworks.
• Work closely with developers, architects, and DevOps teams.
• Follow engineering best practices and promote an automation-first approach.

Must-Have Skills

• 8+ years of software engineering experience.
• Strong Java and Spring Boot experience.
• Strong understanding of software design, design patterns, testing, and code quality.
• Experience with system architecture and distributed systems.
• Hands-on experience with AWS and cloud-native applications.
• Good knowledge of AWS networking, security, and infrastructure services.
• Experience with Jenkins, Azure DevOps, and Git.
• Strong scripting/automation experience using Python, PowerShell, Bash, etc.
• Experience with Kubernetes and OpenShift.
• Knowledge of Infrastructure as Code and Platform Engineering.
• Experience with Splunk / observability / monitoring.
• Exposure to AI-assisted development, AI agents, LLM-based tools, or AI automation.
• Strong problem-solving and communication skills.
• Strong interest in automation and reducing manual processes.

Good to Have

• OpenSearch / Elasticsearch
• Apache Airflow
• Terraform
• Database platforms / cloud-managed databases
• Cloud migration and platform modernization experience

Preferred candidate profile