Software Engineer_Java_Springboot_Kafka

Job Summary

As a Software Engineer, you will contribute to the development, and operation of large-scale distributed systems. You ll collaborate with experienced engineers to build reliable, performant software solutions used across the organization, while also owning and driving components of the platform forward.

Roles & Responsibilities

Backend Development:

System Design & Architecture:

Testing & Quality Assurance:

Debugging & Troubleshooting:

Code Review & Mentorship:

Technical Documentation:

Cross-functional Collaboration:

Innovation & Learning:

Operational Excellence:

Years of Experience

2-4 years in backend application development (excluding the internship experience)Years of Experience

Education Qualification & Certifications

Bachelors Degree in Computer Science, CIS, or related field (or equivalent work experience in a related field)

2+ years of industry experience in software development with a focus on backend systems.

1+ year of hands-on experience building scalable applications using Java or similar programming languages.

Solid understanding of software engineering principles, data structures, algorithms and system design.

Familiarity with CI/CD practices, version control systems, and Agile methodologies.

Primary Skills (Must Have)

Solid understanding of Data Structures & Algorithms, OOPs and AOP.

Solid understanding of Software Design Patterns, Distributed Systems and Microservices Architecture.

Proficiency in core & advanced Java (Java 17+ preferred).

Proficiency in SpringBoot framework.

Proficiency in working with databases (e.g., Cassandra, Elasticsearch, MongoDB).

Proficiency in writing Test Cases using frameworks/libraries like JUnit, Mockito, Spock, Testcontainers etc.

Experience working with Kafka, Git/Bitbucket, ELK Stack, Promethus, and Grafana.

Familiarity with Functional Programming and Reactive Programming.

Secondary Skills (Desired)

Experience working in high-scale, low-latency environments is a strong plus.

Exposure to heap-dump/thread-dump analysis is a plus.

Exposure to containerization and orchestration tools (e.g., Docker, Kubernetes).

Exposure to languages like Python, Kotlin and GO.

Exposure to large-scale data processing frameworks (e.g., Apache Flink or Spark).

Understanding of security best practices and compliance in data handling.

Contributions to open-source projects or personal GitHub repositories.

• Understanding of performance tuning and system reliability engineering concepts.