Are you a Java Backend Developer looking for an opportunity to work on AI-powered products and modern backend architecture? agasty.ai is hiring a Backend Developer with strong hands-on experience in Java and Spring Boot. This is an exciting opportunity for developers who enjoy solving complex backend problems, designing scalable services, and working with technologies such as PostgreSQL, Docker, Kubernetes, and microservices.
π Job Title: Backend Developer
π’ Company: agasty.ai
π» Primary Skills: Java, Spring Boot, PostgreSQL
βοΈ Additional Skills: Docker, Kubernetes, Microservices
β‘ Experience: Not specified in the shared opening
π¨ Joining: Immediate Joiners Only
π© Apply: prachi.mittal@agasty.ai
π’ About agasty.ai
agasty.ai is a Bengaluru-based technology company focused on transforming education through AI-powered technology. Its platform aims to create a more personalized and intelligent educational ecosystem for students, teachers, parents, and educational institutions. The company describes its product as a School Language Model (SLM) designed to understand school-specific academic and administrative workflows.
The company has been building AI-enabled capabilities covering areas such as academics, assessments, school operations, communication, and administrative workflows. This makes the backend role particularly interesting for engineers who want exposure to the intersection of enterprise software, cloud-native development, and AI products.
π» Why Is This Role a Good Opportunity?
This isn’t simply a traditional Java development position. The requirement combines Java + Spring Boot + PostgreSQL + Microservices + Docker/Kubernetes, giving developers an opportunity to strengthen skills that are highly relevant to modern backend engineering.
For an engineer aiming to progress toward Senior Backend Developer, Software Engineer, or Microservices Developer, experience with this combination can be valuable.
The AI-first product environment is another advantage. Agasty.ai is actively developing AI-driven education solutions, so backend engineers can gain exposure to the infrastructure and application layers supporting AI-powered products.
π οΈ Skills Required
Candidates should focus on the following areas:
- β Java: Core Java, OOP, Collections, Exception Handling, Streams, Multithreading
- π± Spring Boot: REST APIs, Dependency Injection, Spring MVC, configuration and security fundamentals
- ποΈ PostgreSQL: Joins, indexes, transactions, query optimization and database design
- π Microservices: Service communication, API design, fault tolerance and scalability
- π³ Docker: Images, containers, Dockerfiles and networking basics
- βΈοΈ Kubernetes: Pods, deployments, services, configuration and basic troubleshooting
- ποΈ Design Principles: SOLID, clean architecture, design patterns and maintainable code
- π§ Engineering Practices: Git, debugging, logging, unit testing and API testing
π― Preparation Tips
Don’t prepare only theoretical Java questions. Build your preparation around a production-style backend system.
Be ready to explain:
- How Spring Boot dependency injection works
- REST API design principles
@RestController,@Serviceand@Repository- Spring Boot exception handling
- PostgreSQL indexing and query optimization
- Microservices vs monolithic architecture
- Dockerizing a Spring Boot application
- Kubernetes Deployment vs Service
- Handling failures between microservices
- Authentication and authorization
- Logging and debugging production issues
π§ Expected Interview Rounds
According to agasty.ai’s published careers information, its hiring process includes an initial screening, two technical interview rounds, and a final discussion.
For this particular Backend Developer position, candidates should therefore prepare for approximately:
1οΈβ£ Initial Screening: Resume/profile discussion, experience, availability and role alignment.
2οΈβ£ Technical Round 1: Java, Spring Boot, SQL/PostgreSQL, REST APIs, OOP and debugging.
3οΈβ£ Technical Round 2: Microservices, architecture, Docker/Kubernetes, system-design thinking and project-based scenarios.
4οΈβ£ Final Discussion: Communication, ownership, problem-solving approach, culture fit and expectations.
π° Salary Range
The job post does not specify compensation. Since this is a startup role and the required experience level is not stated, publishing an exact company-specific salary would be speculative.
As a practical market benchmark, Java backend roles in India can vary substantially based on experience, technical depth, and company stage. Candidates should discuss compensation based on their current experience, Spring Boot expertise, microservices exposure and cloud/container skills rather than relying on a generic figure.
π Resume Tips for This JD
Your resume should immediately communicate that you are a Java Backend/Microservices Engineer.
Prioritize keywords such as:
Java | Spring Boot | REST APIs | PostgreSQL | Microservices | Docker | Kubernetes | SQL | Git | JUnit | Mockito | CI/CD
If you have containerization experience, mention exactly what you did with Docker/Kubernetes. If you optimized PostgreSQL queries, mention the improvement achieved.
Also include one strong backend project demonstrating Java + Spring Boot + PostgreSQL + REST + Docker.
π© How to Apply
Interested candidates should send their updated resume to:
Use a professional subject line such as:
Application β Backend Developer β Java/Spring Boot
Since the requirement specifically states Immediate Joiners Only, clearly mention your notice period and earliest joining date in the email.
π Final Takeaway
If you’re a Java developer who wants to move beyond basic CRUD applications and gain exposure to Spring Boot, microservices, PostgreSQL, containers, Kubernetes and AI-powered products, this opportunity at agasty.ai is worth considering.
The combination of modern backend engineering and an AI-focused product environment can provide valuable hands-on experience, particularly for developers looking to grow into Senior Backend Engineer or Technical Lead roles.
π₯ Java + Spring Boot + Microservices + Cloud-Native Engineering = a strong combination for your next career move.
