Backend Engineer - Java and Kotlin

Summary

Build and maintain scalable backend services in Java/Kotlin, designing APIs, databases, and microservices while ensuring performance and reliability.

Design, develop, and maintain backend services and APIs using Java and Kotlin.
Build and optimize services for performance, reliability, and scale.
Write clean, testable code and contribute to engineering best practices.
Develop and maintain data access layers and integrations with databases.
Implement and support microservices and/or service-oriented architectures.
Create and maintain automated tests (unit/integration) and participate in CI/CD.
Diagnose production issues, perform root-cause analysis, and help drive improvements.
Collaborate with frontend, mobile, DevOps/SRE, and QA to deliver end-to-end features.
Document system behavior, design decisions, and operational procedures.
Continuously improve observability (logging, metrics, tracing) and developer productivity.

Atleast 5 years (or equivalent) of professional backend development experience.
Strong experience with Java and Kotlin in production systems.
Proficiency with RESTful APIs and/or service interfaces (e.g., gRPC).
Solid understanding of data structures, algorithms, and backend fundamentals (concurrency, caching, networking).
Experience with SQL and at least one relational database (e.g., PostgreSQL, MySQL).
Experience with common backend frameworks (e.g., Spring Boot, Ktor, Micronaut).
Strong testing practices (e.g., JUnit, Mockito, integration testing).
Familiarity with containerization and deployment workflows (e.g., Docker, Kubernetes is a plus).
Ability to work in an agile environment and communicate clearly with cross-functional teams.

Experience with microservices, event-driven systems, or distributed systems.
Familiarity with messaging/streaming technologies (e.g., Kafka, RabbitMQ).
Experience with AWS/GCP/Azure services and cloud-native patterns.
Knowledge of observability tooling (e.g., Prometheus, Grafana, ELK, OpenTelemetry).
Experience with performance tuning, reliability engineering, and automated incident response.
Familiarity with security practices (authn/authz, OWASP principles, secrets management).