UI DEVELOPER 118 views

Job Expired

1)    Strong hands-on experience in Java 8, Microservice & Docker

2)    UI Frameworks: AngularJS or ReactJS or VueJS, JavaScript, jQuery

3)    Good knowledge in JMS (Active MQ, Kafka, Rabbit MQ), Apache Camel

4)    Spring, Spring Boot, Spring Batch, Spring Cloud

5)    ORM like Hibernate or JPA

6)    Familiar with Linux operation system

7)    Strong knowledge in SQL (Oracle, MySQL, MariaDB)

8)    NoSQL Database like MongoDB, Cassandra

9)      Experience working with, or an interest in Agile Methodologies, such Scrum

10)   Knowledge of software best practices, like Test-Driven Development (TDD) and Continuous Integration (CI)

11)   Experience building, deploying, and maintaining microservices on AWS, Kubernetes or Openshift

12)   Experience using Docker to create reproducible build and deployment pipelines

13)   Experience with Elastic Search as search index  and ELK for log aggregation and analysis

14)   You know what “immutable”, “idempotent”, “stateless application”, “horizontal scaling” mean. You can explain how and why these traits are important, citing specific examples from your professional experience.

15)   You know how to read explain plans and tune SQL Queries, profile applications, analyze heap and thread dumps

16)   Able to automate repetitive tasks


17) Cloud Platforms like AWS, Open Shift, PCF

18) Good to have knowledge on ELK stack

19)  Big Data exposure with Hadoop, HIVE, Spark, Impala, Sqoop, Oozie


A Bachelor’s degree in Computer Science (or equivalent experience)

·          5 – 10 years of development and delivery experience

·          Relevant industry experience on cloud platforms would be favorably considered

·          Core Java

·          Fundamental knowledge of distributed Architectures, SOA, Micro-services, PaaS

·          Source Code control (experience with Git preferred)

·          Able to perform unix / linux scripting.

·          Monitor and address issues relating to capacity constraints and performance related                     items.

·          Analyse and perform performance tuning.

·          Develop and maintain high-performance, scalable system.

·          Writing of documents that clearly explain how algorithms should be implemented,                         verified and validated.



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