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Java Backend Engineer

No of Positions  No of Positions:   2

location Location: India

date Tentative Start Date:   July 31, 2022

Work From Work From : Any Location

rate Rate : $ 6  -  15 (Hourly)

experience Experience : 3 to 10 Year

Job Applicants : 15
Job Views : 187
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Job Category : Information Technology & Services
Duration : Long-Term
Key Skills Required Skills
Java Spring Boot Spring Microservices Hibernate Python PHP framework java spark MySQL No-SQL MongoDB AWS Apache Google ProtoBuffs JSON
Description

Responsibilities:


Designing, developing and maintaining core system features,services and engines

Collaborating with a cross functional team of the backend,Mobile application, AI, signalprocessing, robotics Engineers, Design, Content, and Linguistic

Team to realize the requirements of conversational social robotics platform which includes investigate design approaches,prototype new technology, and evaluate technical feasibility

Ensure the developed backend infrastructure is optimized for scale and responsiveness

Ensure best practices in design, development, security,monitoring, logging, and DevOps adhere to the execution of the project.

Introducing new ideas, products, features by keeping track of the latest developments and industry trends

Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules.

Proficiency in working on Linux based Operating system.

Proficiency in at least one data serialization framework: Apache Thrift, Google ProtoBuffs, Apache Avro,Google Json,JackSon etc 

Proficiency in distributed application development life cycle(concepts of authentication/authorization, security, session management, load balancing, API gateway),

programming techniques and tools (application of tested, proven development paradigms)

Proficiency in working on Linux based Operating system.

Proficiency in at least one server-side programming language like Java. Additional languages like Python and PHP are a plus

Proficiency in at least one server-side framework like Servlets,Spring, java spark (Java).

Proficient in using ORM/Data access frameworks like Hibernate,JPA with spring or other server-side frameworks.

Proficiency in at least one data serialization framework: Apache Thrift, Google ProtoBuffs, Apache Avro,Google Json,JackSon etc

Proficiency in at least one of inter process communication frameworks WebSocket's, RPC,message queues, custom HTTP libraries/frameworks ( kryonet,RxJava ), etc

Proficiency in multithreaded programming and Concurrency concepts (Threads, Thread Pools,Futures, asynchronous programming).

Experience defining system architectures and exploring technical feasibility tradeoffs (architecture, design patterns, reliability and scaling)

Experience developing cloud software services and an understanding of design for scalability, performance and reliability

Good understanding of networking and communication protocols, and proficiency in identification CPU, memory & I/O bottlenecks, solve read & write-heavy workloads.

Proficiency is concepts of monolithic and microservice architectural paradigms.

Proficiency in working on at least one of cloud hosting platforms like Amazon AWS, Google Cloud, Azure etc

Proficiency in at least one of database SQL, NO-SQL, Graph databases like MySQL, MongoDB, Orientdb

Proficiency in at least one of testing frameworks or tools JMeter,Locusts, Taurus

Proficiency in at least one RPC communication framework: Apache Thrift, GRPC is an added plus

Proficiency in asynchronous libraries(RxJava), frameworks (Akka),Play,Vertx is an added plus

Proficiency in functional programming ( Scala ) languages is an added plus

Proficiency in working with NoSQL/graph databases is an addedplus

Proficient understanding of code versioning tools, such as Git is an added plus

Working Knowledge of tools for server, application metrics logging and monitoring and is a plus Monit, ELK,graylog is an added plus

Working Knowledge of DevOps containerization utilities like Ansible, Salt, Puppet is an added plus

Working Knowledge of DevOps containerization technologies like Docker, LXD is an added plus

Working Knowledge of container orchestration platform like Kubernetes is an added plus.

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