Backend Engineer - Java and Kotlin (FinTech)

About this role

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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).

Originally posted on Himalayas