Required Skills

Java Azure GCP AWS

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 16th Dec 2023

JOB DETAIL

Technology Specifics/Requirements:

· Java or Kotlin

· Springboot

· Kubernetes

· Cassandra

· Elastic

· Kafka

Top / Must Have Skills:

9+years of experience.

· Experience building scalable microservices with Spring Boot

· Some experience in deploying and managing applications in the cloud (Azure, GCP, AWS, etc.)

· Good communication skills and a willingness to work interactively with the rest of the team on both technical and business levels

Minimum Position Qualifications:

· 5+ years of successful and applicable hands-on experience in software or infrastructure development domain and principles, including design patterns and code structure

· 5+ years of proven track record of designing and delivering large scale, high-quality systems

· 3+ years of successful and applicable experience taking a lead role in building complex software ad automation systems that has been successfully delivered to customers

· Strong knowledge of industry trends and industry competition

· Proven ability to think and contribute at the strategic level

· Understanding of network and security architecture

· Deep knowledge in a minimum of two of the following technical disciplines: infrastructure and network design, application development, application programming interfaces (APIs), cloud, middleware, servers and storage, database management, and operations

 

Desired Previous Experience:

· Any experience in system architecture

· Any experience in Cloud software service including designing for scale, performance, and reliability

· Demonstrated capability to build, mentor and maintain an inclusive team-based environment

· Experience building recommender systems or utilizing machine learning

Company Information