
Technoidentity - Java Backend Developer - Data Structure/Algorithm
2 days ago
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 were expanding globally. Its the perfect time to join our team of tech innovators and leave your mark-this time in People Experience
Whats 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 :
- Exposure to containerization (Docker, Kubernetes).
- Knowledge of monitoring and logging tools (CloudWatch, ELK, Prometheus, etc.).
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