Back to SearchSoftware Engineer - Java with Data Structures & Algorithms
Office in India: Bengaluru
Java& 5 others
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We're looking for a Software Engineer skilled in Java and Data Structures & Algorithms to become part of our engineering team, helping to build and deliver scalable, high-performance applications.
Responsibilities
- Function as a member of a software engineering team by contributing to software builds through consistent development practices
- Debug basic software components and identify code defects for remediation
- Enable the development, support, and monitoring of software across test, integration, and production environments
- Automate deployments in test or production environments
- Adhere to security and regulatory requirements
- Design and contribute to API implementations
- Follow best practices for automated unit, integration and regression testing
- Participate in pull request reviews to ensure quality code delivery
- Build software as part of a nimble Agile team, with the opportunity to impact team goals and contribute to the overall architecture
- Ensure infrastructure is safely extensible, scalable, reliable and meets SLAs for both external and internal users
- Ensure software solutions are testable, intuitive, and easy to maintain
Requirements
- 4 to 6 years in software development, testing, and implementation
- A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related STEM field
- Strong grasp of Java 8, Data Structures & Algorithms, and Microservices
- Solid background in REST APIs, JSON, and Kafka
- Working knowledge of RDBMS and NoSQL technologies such as MongoDB, Redis, and PostgreSQL
- Comfortable with Spring Boot, Maven, and GIT
- Exposure to Jenkins, GitHub Actions, and Agile development methodologies
- Solid grasp of Linux/Unix and Gradle/Maven
- Track record of building scalable, low-latency applications using multi-threaded, asynchronous, and reactive programming
- Direct experience deploying containerized applications to cloud environments using Kubernetes and Docker
- Strong foundation in high availability techniques, profiling, and performance analysis
- Sharp skills in Design Patterns, System Design, and Problem Solving