Backend Developer (Java, AWS, Docker, Kubernetes, Spring boot)

Job Requirements

Role Summary

Design, develop, and deliver scalable cloud-native applications and reusable platform capabilities. The engineer will work independently, contribute to technical initiatives, and collaborate with architects, product owners, frontend engineers, and cross-functional teams to build secure, highly available, resilient services.

Essential Responsibilities:

Design and develop cloud-native services using Java 17+ and Spring Boot.

Build, deploy, and maintain microservices on Docker and Kubernetes, primarily AWS/EKS environments.

Design REST APIs, event-driven services, asynchronous communication, and low-latency signaling or session capabilities.

Own technical design discussions and contribute to architecture reviews, platform standards, and technology roadmaps.

Implement secure, scalable, resilient, observable, and highly available solutions using AWS cloud services.

Champion automated testing, code reviews, CI/CD, observability, troubleshooting, and performance optimization.

Work with PostgreSQL, MySQL or Aurora, Redis/Valkey, and other appropriate relational or NoSQL technologies.

Mentor engineers and participate in Agile planning, estimation, execution, and delivery.

Work Experience

Must-have Skills & Experience:

7-10 years of software development experience with strong Java and Spring Boot expertise.

Experience designing enterprise-grade microservices and distributed systems.

Hands-on experience with AWS cloud services, Docker, Kubernetes/EKS, cloud security, IAM, networking, and monitoring.

Experience with REST APIs, event-driven services, Kafka, SQS/SNS, or equivalent messaging technologies.

Experience with PostgreSQL, MySQL/Aurora, Redis/Valkey, and database/cache integration.

CI/CD experience using Jenkins, GitLab CI/CD, GitHub Actions, Azure DevOps, or equivalent tools.

Automated testing and quality experience using JUnit, Mockito, Cucumber, SonarQube, or comparable tools.

Observability experience using CloudWatch, Grafana, Prometheus, OpenTelemetry, or comparable platforms.

Preferred Qualifications:

Multi-tenant SaaS, highly scalable distributed systems, AWS Well-Architected Framework, and platform engineering.

Kubernetes operators, service mesh technologies such as Istio or Linkerd, and infrastructure automation.

Real-time signaling, high-concurrency session services, GenAI/LLM integrations, or AI-powered applications.

Healthcare, medical-device, regulated-software, FHIR, or HL7 experience.