Java Go Developer

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.