Java 17 senior Developer- AVP-C12-Hybrid-Pune

Job Description

The Role

We are looking for talented UI engineers who are passionate about building high quality, modern, front-end solutions that solve complex business problems via innovation and the application of engineering best practices.

This role will be responsible for hands-on development of front-end code, working as part of an agile scrum team, and partnering with UX and other engineering specialists to build digital products of the highest standard.

Required Qualifications

• 8+ years of experience as a Software Engineer/Developer using Java 17, Spring, Springboot, microservices, design patterns, PL/SQL, kubernetes
• 8+ years of experience with software engineering best practices (Junit testing, automation, design patterns, peer review, etc.).
• Clear understanding of Data Structures and Object Oriented Principles using Java 17
• 8+ years of experience on Service Oriented and MicroServices architectures, including REST and GraphQL implementations
• Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
• 8+  years of experience with frameworks like Spring Boot.
• Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, Jenkins, etc.).
• Multiple years of experience with agile and iterative software delivery (SCRUM, Kanban)
• Exposure to Database technologies (RDBMS, Oracle, Mongo)
• Exposure to event-driven design and architecture (i.e., Kafka, RabbitMQ, etc.)
• B.Tech/B.Engg degree or equivalent work experience  

Preferred Qualifications

• Exposure to Service Oriented and MicroServices architectures, including REST and GraphQL implementations
• Exposure to building horizontally scalable, highly available, highly resilient, and low latency applications
• Exposure to Cloud infrastructure both on-premises and public cloud (i.e., OpenShift, AWS, etc.)
• Exposure to Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
• Exposure to API Management tools
• Exposure to event-driven design and architecture (Kafka, Spark Flink, etc.)
• Exposure to Continuous Integration and Continuous Delivery (CI/CD) pipelines, either on-premise or public cloud (i.e., Tekton, Harness, CircleCI, Cloudbees Jenkins, etc.)
• Exposure to using Infrastructure as Code tools (Terraform, Cloudformation, etc.)
• Exposure to Security, Observability, and Monitoring tools (Grafana Prometheus, Splunk, ELK, CloudWatch, etc.)
• Exposure to agile and iterative software delivery
• Exposure to database concepts (RDBMS, NoSQL)