Sr. Dev Engg Java - Data Structures

Supercharge Your Career as a Sr. Dev Engg Java at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, were

a Data+AI product engineering company building cutting-edge solutions in the FinTech

domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our

team of tech innovators and leave your mark—this time in People Experience!

What’s in it for You?

We are looking for a skilled Java Backend Engineer who is passionate about building scalable,

high-performance applications. The ideal candidate should have strong expertise in Java,

data structures, databases, and modern frameworks, along with experience deploying

solutions on AWS and managing CI/CD pipelines.

What Will You Be Doing?

• Design, develop, and maintain backend services using Java and Spring frameworks.
• Implement efficient algorithms and data structures for complex problem-solving.
• Integrate and manage relational databases (preferably RDS) with Java applications.
• Deploy and manage services on AWS infrastructure (EC2, SQS, RDS, etc.).
• Implement and maintain CI/CD pipelines (Jenkins or similar) for seamless delivery.
• Collaborate with cross-functional teams to design scalable solutions.
• Ensure code quality, performance, and security best practices.
• Contribute to code reviews, documentation, and knowledge sharing.

What Makes You the Perfect Fit?

• Strong proficiency in Java and data structures/algorithms.
• Hands-on experience with Spring frameworks (Spring Boot, Spring MVC, Spring Data,

etc.).

• Proficiency in working with databases (SQL, schema design, query optimization).
• Practical experience with AWS services (EC2, SQS, RDS, IAM, etc.).
• Experience in setting up and maintaining CI/CD pipelines (Jenkins, GitHub Actions).
• Good understanding of version control using Git/GitHub.
• Solid problem-solving and debugging skills.
• Excellent communication and teamwork skills.

Preferred Qualifications

• Experience with microservices architecture.
• Exposure to containerization (Docker, Kubernetes).
• Knowledge of monitoring and logging tools (CloudWatch, ELK, Prometheus, etc.).