We are seeking an experienced Senior Java Developer with strong expertise in modern Java development, Spring Boot, Azure cloud services, and containerized applications. The ideal candidate will have hands-on experience with IoT platforms, Linux systems, and Go programming.

Key Responsibilities

• Design and develop scalable microservices using Java 17 and Spring Boot
• Implement Io

T solutions using Azure IoT Hub and DPS:

• Build event-driven architectures with Azure Service Bus and Event Hub
• Develop and maintain Go-based services and tooling
• Write comprehensive unit tests using JUnit and Go testing frameworks
• Containerize applications and manage deployments via Azure Container Registry
• Administer and troubleshoot Linux-based production environments
• Collaborate with DevOps team on infrastructure as code
• Mentor junior developers on best practices and design patterns

Good To Have Knowledge on

• Azure Kubernetes Services
• Octopus CI/CD deployment process
• KONG API gateway Management
• Launch darkly
• Knowledge of MQTT protocol and IoT security best practices
• Experience with monitoring tools (Prometheus, Grafana, Application Insights)

Required Experience

• 8+ years of professional Java development experience
• 2+ years hands-on experience with Java 17 features
• 6+ years with Spring Boot framework
• 3+ years working with Azure cloud services (IoT Hub, Service Bus, Event Hub)
• 3+ years Linux system administration (Ubuntu/RHEL)
• 2+ year production Go programming experience
• Strong understanding of microservices architecture
• Experience with containerization (Docker, Kubernetes)
• Proven track record of TDD and writing maintainable tests

Preferred Qualifications:

• Azure certifications (Azure Developer Associate, Azure IoT Developer)
• Knowledge of MQTT protocol and IoT security best practices
• Experience with monitoring tools (Prometheus, Grafana, Application Insights)
• Understanding of Dev

Ops practices and Git Ops workflows:

• Soft Skills
• Strong problem-solving and analytical abilities
• Excellent communication and collaboration skills
• Ability to work in agile/scrum environments
• Self-motivated with ability to work independently
• Passion for learning new technologies

Java Development

• Java 17 (primary) with strong understanding of modern Java features: Records, Sealed Classes, Pattern Matching
• Text Blocks, Switch Expressions
• Enhanced Null Pointer Exception messages
• Java 8+ expertise including: Streams API, Lambda Expressions
• Functional Interfaces
• Completable Future and reactive programming
• Spring Boot Framework (2.x/3.x): Spring Cloud for microservices
• Spring Web Flux for reactive applications
• Spring Security, Spring Data
• RESTful API design and implementation

Go Programming (Hands-on Required)

• Production-level Go development experience
• Building microservices and CLI tools in Go
• Goroutines, channels, and concurrent programming
• Go modules and dependency management
• RESTful API design and implementation

Database:

• Postgres or any RDBMS

Version Control and Management

• Git Hub

Azure Cloud Service (Hands-on Required)

• Azure Service Bus: Message queuing, pub/sub patterns, dead-letter queues
• Azure Event Hub: Real-time data streaming, event ingestion at scale
• Azure IoT Hub: Device-to-cloud and cloud-to-device messaging
• Azure IoT Device Provisioning Service (DPS): Zero-touch device provisioning
• Azure Container Registry (ACR): Container image management and deployment

Linux Operating Systems (Hands-on Required)

• Ubuntu: System administration, package management, shell scripting
• Red Hat Enterprise Linux (RHEL): Configuration, deployment, troubleshooting
• Docker containerization on Linux environments
• Kubernetes
• Bash scripting and automation

Testing & Quality Assurance

• JUnit 5 for Java unit and integration testing
• Mockito, AssertJ, and testing best practices
• Go Testing (TDD): Writing tests using Go's testing package
• Test-driven development methodology
• Code coverage and quality metrics

AI :

Integrate Generative AI and Machine Learning models into enterprise workflows to enhance decision-making.