Backend Developer
Role details
Job location
Tech stack
Job description
Design, develop, and maintain scalable Back End services using Java (8/11/17+) and Spring Boot Build, optimize, and maintain RESTful APIs and microservices-based applications Collaborate with Front End, DevOps, product, and AI engineering teams Use AI-assisted development tools (eg, GitHub Copilot, Cursor, ChatGPT, Claude, Gemini, etc.) to accelerate development, debugging, testing, and documentation Review, validate, and refine AI-generated code to ensure maintainability, security, and performance Design robust system architectures and contribute to technical decision-making Implement automated testing, CI/CD pipelines, and deployment processes Monitor application performance, troubleshoot issues, and optimize system reliability Conduct code reviews and mentor team members on engineering best practices and AI-assisted development workflows Document technical solutions and architecture using AI-assisted productivity tools where appropriate
Requirements
We are seeking an experienced Senior Backend Developer with strong expertise in Java and Spring Boot to design, develop, and maintain scalable Back End systems. The ideal candidate combines solid software engineering fundamentals with the ability to effectively leverage AI-powered development tools and coding assistants to accelerate delivery, improve code quality, and enhance engineering productivity., 5+ years of hands-on Back End development experience Strong expertise in Java and Spring Boot Solid understanding of microservices architecture and distributed systems Experience designing and developing REST APIs Strong knowledge of Hibernate/JPA and relational database design Experience with messaging systems such as Kafka or RabbitMQ Hands-on experience with cloud platforms (AWS, Azure, or GCP) Experience with Docker and Kubernetes Strong database experience with PostgreSQL, MySQL, MongoDB, or similar technologies Experience with Git, CI/CD pipelines, and Agile development practices Understanding of application security, secure coding practices, and performance optimization Demonstrated experience using AI-assisted software development tools in daily engineering workflows Ability to critically evaluate, test, and improve AI-generated code and technical solutions, Experience building AI-powered applications or integrating LLM APIs Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and AI agent architectures Experience integrating services from OpenAI, Anthropic, Google Gemini, or similar AI platforms Experience working in regulated, standards-driven, or public sector environments Familiarity with Infrastructure as Code (Terraform, CloudFormation, etc.) Relevant certifications in Java, cloud technologies, or AI engineering Experience measuring and improving engineering productivity through AI-assisted development practices
Strong Back End engineering fundamentals
Quality and maintainability of delivered code Effective use of AI tools to increase productivity without compromising quality System design and architectural thinking Problem-solving and debugging capabilities Ability to mentor others in AI-assisted software engineering practices