Java Backend Developer

Headway Tek Inc
Alameda, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Alameda, United States of America

Tech stack

Java
Amazon Web Services (AWS)
User Authentication
Azure
Cloud Computing
Computer Programming
Dependency Injection
EHealth
Spring
Python
Performance Tuning
RabbitMQ
Secure Coding
Data Processing
Google Cloud Platform
Istio
Spring-boot
Backend
Kotlin
Kubernetes
Information Technology
Kafka
GraphQL
Machine Learning Operations
Api Design
Api Gateway
REST
Terraform
Stream Processing
Microservices

Requirements

8 +years of backend engineering experience with distributed, cloud-native systems.

Strong skills in microservices architecture and API design (REST), with familiarity with GraphQL or gRPC as a plus.

Experience with Kubernetes in production environments and familiarity with service mesh concepts.

Hands-on proficiency with messaging and streaming systems such as Kafka or RabbitMQ.

Strong programming expertise in Java with hands-on production experience using Spring Boot, including RESTful API

development, dependency injection, and Spring ecosystem tooling. Familiarity with Kotlin or Python is a plus.

Knowledge of secure coding practices and compliance requirements including HIPAA, GDPR, or similar.

Solid understanding of performance optimization, scalability patterns, and async data processing.

Strong collaboration and communication skills, with the ability to work cross-functionally with engineering and product

teams.

Bachelor's degree in Computer Science, Engineering, or a related technical discipline.

Preferred Qualifications

Experience integrating backend services with analytics and machine learning pipelines.

Exposure to API gateways, authentication and authorization patterns, and rate limiting strategies.

Background in digital health, IoT, or other mission-critical platforms.

Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform, and infrastructure-as-code tooling such as Terraform or

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