Senior Java Cloud Engineer

Job Description

• At least 5+ years of software development experience with 1 to 2 years in cloud development
• Java, OOP, Concurrency, Design Patterns, Dependency Injection
• Junit (or other unit testing framework), Mockito
• Distributed Patterns (Caching, Transactions, Message queues, Partitioning, Sharding)
• Scaling Application under load (Partitioning, Sharding)
• Microservices in-depth (scaling, transactions, session handling)
• Experience with high traffic applications and IO throughput
• Solid experience with Relational Databases (e.g., SQL and JDBC) and Non-Relational Databases (e.g., Cassandra, etc)
• AWS (e.g., ECS, S3, Lambdas, SQS, SDK)
• Solid experience with REST APIs
• Great communication skills are a must

Nice to have:

• Expertise in Kafka
• Good understanding of Distributed caching solutions like Hazelcast
• Working experience with distributed frameworks
• Good understanding of statistical code analysis and code quality measurement tools like Sonar, Jacoco, etc.
• Good understanding of CI/CD concepts with experience in end-to-end automation
• Experience with Build Tools (Jenkins, Maven, Gradle, Docker), version control (Git)
• The application server/container configuration management and application deployment (Tomcat, Jboss, etc)
  Experience with Production and Performance Troubleshooting Tools (e.g., ELK, Splunk, Wireshark, jConsole, HeapAnalyzer, jMeter, Java profiler (e.g., VisualVM, JProfiler, YourKit))
• Performance Benchmarking

Job Responsibilities

• Cross-platform application development
• Work in an agile development environment and participate in sprint activities to plan and produce high-quality deliverables
• Own deliverables and be responsible for their quality
• Create modern, efficient, elegant, and scalable code
• Cloud software development in AWS infrastructure
• Communication with the client stakeholders
• Build analytics dashboards for monitoring for high availability
• Review architectural solutions and recommend improvements for non-functional requirements
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Department/Project Description

The client is the worldwide manufacturer of smart beds, which increase the overall quality of sleep. The solution senses and automatically adjusts the comfort level:

Tracking personal sleep data during the night

Individual comfort and temperature balancing

Comfort adjustability on each side of the bed

The project is related to developing the cutting-edge sensor technology and data processing algorithms.

The key project deliverables - systems that bridge the gap between several domains:

Peripheral device control

Device drivers

Hardware sequencing safety systems monitoring, and real-time data processing