Wyzard
Website:
wyzard.ai
Job details:
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.
Click on Apply to know more.
