Job Description

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.