Java Go Developer @ Quest Global

Job Requirements

• Work as a Developer/Senior Developer in cloud-native application development using Agile methodologies.
• Analyze business requirements and translate them into scalable technical designs and solutions.
• Develop, enhance, and maintain applications using Java, Spring Boot, Microservices, GoLang, and AWS.
• Perform code reviews and ensure adherence to engineering best practices and coding standards.
• Collaborate with customer teams and cross-functional stakeholders to deliver high-quality solutions.
• Conduct unit, integration, and system testing to ensure software quality and reliability.
• Troubleshoot and resolve issues across Development, Staging, and Production environments.
• Ensure application performance, scalability, security, and responsiveness.
• Leverage GenAI tools and AI-assisted development practices to improve engineering productivity.
• Design and develop AI-powered agents, automation solutions, and intelligent workflows that deliver measurable business value.

Additional Information

• Demonstrates an AI-first mindset in software development and engineering practices.
• Ability to create AI agents and automation solutions that deliver measurable business value.
• Experience or interest in developing AI-powered solutions using the AWS Bedrock ecosystem.
• Proactively leverages managed AI models and platforms to improve productivity and innovation.
• Balances delivery excellence with innovation and continuous improvement.
• Strong team player with a collaborative and ownership-driven mindset
• Mandatory requirement to work from the Customer Office in Pune.

Work Experience

Must-Have Skills

• Strong hands-on experience in Java/J2EE, Spring Boot, Hibernate, and Microservices.
• Experience in GoLang development with a solid understanding of Go-based application architecture.
• Strong experience with AWS cloud services, including S3, SNS, SQS, and cloud-native application development.
• Hands-on experience with MongoDB and relational databases (RDBMS).
• Good understanding of distributed systems, REST APIs, and Microservices architecture.
• Experience in debugging and troubleshooting applications across Development and Staging environments.
• Good Knowledge of multithreading and concurrent programming concepts.
• Experience with Git, Maven, CI/CD pipelines, and deployment automation.
• Good understanding of DevOps practices and infrastructure automation.
• Strong understanding of Software Development Lifecycle (SDLC) and software testing methodologies.
• Experience using AI-assisted development tools and modern engineering practices.

Preferred Skills

• Experience with Docker and containerized application deployment.
• Exposure to Kubernetes and container orchestration platforms.
• Experience with Test-Driven Development (TDD) and automated testing frameworks.
• Knowledge of Kafka and RabbitMQ messaging platforms.
• Familiarity with AWS Bedrock and AI/Generative AI solution development.
• Exposure to additional cloud platforms such as Microsoft Azure.