Java Developer (3+ years)

About the Role

We are looking for a skilled Java Developer with at least 3 years of experience in backend development to join our fast-paced startup. The ideal candidate will have hands-on expertise in Spring Boot, NoSQL/MongoDB, and an understanding of SQL databases. As a core member of our engineering team, you will thrive in a high-velocity environment, championing lean development and rapid MVP rollouts. A background in product engineering, familiarity with GCP cloud services, and a strong understanding of AI-driven development and the AI Software Development Life Cycle (SDLC) are highly desirable.

Responsibilities

Design, develop, and maintain scalable backend systems using Java and Spring Boot.Embrace a startup mindset by driving rapid prototyping, MVP delivery, and iterating quickly based on lean development principles.Integrate AI-based engineering practices into the SDLC, leveraging AI tools to accelerate development and building intelligent, AI-integrated product features.Implement and manage databases including NoSQL (e.g., MongoDB), PostgreSQL, and Clickhouse.Champion Test-Driven Development (TDD), writing clean, testable, and efficient code backed by robust test suites using JUnit.Collaborate with product and engineering teams to deliver high-quality software solutions with agility and speed.Participate in code reviews, debugging, and performance tuning.Contribute to architectural decisions and system design discussions.Maintain high standards of software quality within the team

Requirements

3+ years of professional experience in Java development.Proficiency in the Spring Boot framework.Strong experience with NoSQL and PostgreSQL.Familiarity with Clickhouse databases.Proven experience with Test-Driven Development (TDD) and testing frameworks like JUnit.Strong understanding of AI-based engineering aspects, including building AI-integrated workflows, interacting with LLMs, or leveraging AI coding tools to optimize the SDLC.Ability to thrive in a fast-paced, dynamic startup environment with a strong bias for action.Understanding of RESTful APIs and microservices architecture.Exposure to cloud platforms like GCP is a plus.Solid foundation in computer science principles and product engineering practices.Good communication skills and a proactive attitude towards problem-solving

Preferred Qualifications

Experience in highly agile development environments using lean methodologies.Familiarity with DevOps tools, continuous integration/continuous deployment (CI/CD) pipelines, and automated testing workflows.Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.