Backend Software Specialist

3 days ago

Guntur, Andhra Pradesh, India beBeeSoftware Full time ₹ 15,00,000 - ₹ 20,00,000
Backend Software Engineer

We are seeking a highly skilled Backend Software Engineer to join our team. This role requires expertise in Java, Functional Programming, and Microservices architecture.

The ideal candidate will have a deep understanding of modern Java features, event-driven architectures, and cloud-native development.

This is a unique opportunity for a talented individual to contribute to the design and implementation of scalable backend solutions for a leading financial services company.

  • Design and implement microservices using modern Java functional programming concepts.
  • Collaborate on event-driven systems, applying architectural patterns like Choreography, Strangler, and Sidecar.
  • Participate in code reviews, design discussions, and knowledge-sharing sessions.
  • Develop and deploy applications in the public cloud using services like Cloud Run, GKE, and GCS.
  • Write clean, testable, and scalable code emphasizing readability and maintainability.
  • Contribute to the adoption of modern Java features, including Pattern Matching, Records, and Record Patterns.

Technical Requirements:

Core Java & Functional Programming

  • Deep understanding of Java Streams, Functional Interfaces, Lambda expressions, Supplier, Consumer, Function, and reduce operations.
  • Experience with newer Java features, preferably Java 17+, with familiarity with Java 21 as an advantage.
  • Proficiency in immutable data structures, pure functions, and clean code principles.

Microservices & Architecture

  • Strong knowledge of microservices design patterns, including Choreography (Kafka-based), Strangler Pattern, Sidecar Pattern, and hands-on experience with Kafka or other message brokers in Event-Driven Architecture.

Cloud & DevOps:

  • Hands-on experience deploying applications in a public cloud, such as GCP, AWS, or Azure.
  • Familiarity with Cloud Run, GKE, GCS, or equivalents in other clouds.
  • Understanding of deployment automation, infrastructure as code, and CI/CD best practices.

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