Skills & Requirements

• 2+ years of extensive experience in front-end development
• Strong skills in React/Redux, Javascript (ES5-7), HTML5/CSS
• Develop features using best development practices and design patterns
• Experience with Charting and data visualization
• Strong expertise with npm & webpack
• Ability to create literate organization of the Redux store and normalize it
• Experience with Enterprise management software
• Familiarity with Git/GitHub
• Good written and verbal communication skills in English

Would be a plus

• graphQL,
• redux-saga

About the project

Powerful solution gives you a way to view/monitor/manage/maintain  Hadoop cluster metrics, alarms, and service logs as well as a curated user experience with streamlined workflows for common user actions.

There is multi-functional dashboard,  which offers ability to monitor critical cluster information that includes utilization and resource metrics, YARN statistics, node health by service and by topology, and active alarms, etc. Also multiple metrics can be visualized for trend analysis.

Solution is built on top of a scalable framework and can be deployed anywhere – on-premises, edge, or cloud.

Skills & Requirements

• Strong development skills in Java
• Using Git (or any DVCS) to manage parallel development on a large codebase
• Experience of work with distributed systems, streaming and event processing products
• Linux systems setup and maintenance on hardware as well as in virtual or cloud infrastructure
• Strong written and verbal communication skills

Would be a plus

• Working knowledge of Hadoop, Apache Spark, etc.
• Scala experience
• Experience in RDBM’s and NoSQL databases’ administration and data architecture, data modeling, implementation
• Bash scripting experience

About the project

One of the biggest company in the Hadoop world provides industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage. We are looking for talented engineers to help expand Platform functionality and make it the platform of choice for operational and analytic big data use-cases.

Skills & Requirements

• 3+ years of extensive experience in back-end Java Programming (Java Core, Multi-threading, JDBC)
• Working experience with Cloud Platforms (Azure, AWS, GCP)
• Experience in development of server-side components using RESTful services
• Understanding of Microservices Architecture
• Knowledge of Spring Boot
• Experience with Docker, Kubernetes
• Good written and verbal communication skills in English
• Clean coding habits, attention to details and focus on quality

Would be a plus

• Experience with Open API
• Experience with relational databases
• Experience with Big Data Platforms

About the project

Project is aimed to build cloud application that would manage data across one or more clouds, hybrid clouds, or to the edge. Application will be natively leveraging the public Clouds compute capabilities in order to enhance products usability in terms of dynamic resource provisioning, automated administration and higher degrees of scalability and reliability.

Skills & Requirements

• Commercial experience with Java 8
• Experience with Spring Boot
• Basic Python knowledge
• Basic SQL knowledge
• Strong Networking knowledge
• Experience with Linux
• Experience with Git
• Strong written and verbal communication skills in English knowledge

Would be a plus

• Familiar with software:  Gradle, Jenkins, Kafka, RabbitMQ, ZeroMQ, AWS (ec2, s3, Elastic cluster)
• Network protocols: SMPP, SMTP, MM4, SNMP, HTTP, SSL
• Basic knowledge with C

About the project

Spring boot microservice application using multiple AWS services ( SQS, Elastic Search, etc).  Application process multimedia messages from customer to main US carriers. Provides simple API (based on HTTP REST) to send and retrieve messengers, supports segmented message delivery, emoji, rate limits and throttling, and much more. System is horizontally scalable and uses auto scale to increase/decrease number of pods based on load. System fully supports local and geographical redundancy, that’s why system uptime is near to 100%.

Skills & Requirements

• 2 years+ experience in automation testing of backend functionality
• Linux system advanced user (working in CLI)
• Experience with test frameworks like Cucumber, Junit.
• Knowledge of Java Core
• Virtualization/containers (Docker, Kubernetes, Vmware)
• Cloud (AWS, Azure)
• QA methodologies: Functional types: Functional Testing, Regression Testing, Integration Testing, System Testing, Unit Testing, etc.
• QA Documentation hands-on experience;
• Understanding of version control systems (primarily GIT), including branching and merging strategies
• Good communication skills in English (verbal, written)
• Self-motivated, independent and high-performance individual. Passionate about learning new technologies

Would be a plus

• Knowledge of TypeScript / JavaScript
• Working knowledge of Hadoop and components
• Familiar with security technologies Kerberos and SSL
• Shell scripting
• Experience to setup/maintain/customize CI

Responsibilities

• Providing a full testing cycle for a number of applications including test planning, test
• Design, test case execution, test automation, test failure analysis, bug and issue
• Reporting, verification of resolved issues and regression testing
• Developing BDD automated tests with Cucumber
• Developing test framework using TypeScript (NodeJS) and cucumberjs
• Configuring and maintaining CI processes with Jenkins
• Creating and publishing official docker images for the application

About the project

One of the biggest company in the Hadoop world provides industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage. We are looking for talented QA engineers to help automate and certify operation tools aimed to install/manage/monitor Hadoop clusters of various configurations.

Skills & Requirements

• Linux system advanced user (working in CLI)
• 2 years + experience in testing/QA
• Experience in testing back-end
• Experience in testing of others areas except Web and Android
• Experience in automation testing using Java
• QA methodologies: Functional types: Functional Testing, Regression Testing, Integration Testing, System Testing, Unit Testing, etc.
• QA Documentation hands-on experience;
• SQL basic knowledge and higher
• Good communication skills in English (verbal, written)
• Self-motivated, independent and high-performance individual. Passionate about learning new technologies

Would be a plus

• Working knowledge of Hadoop and components
• Familiar with security technologies Kerberos and SSL
• Ability to read Java/Scala/Python source code
• Shell scripting
• VCS (Git), Jenkins/ TeamCity, Maven

Responsibilities

• Testing of Hadoop platform and Hadoop ecosystem components
• Creating and executing of Test-cases, preparing and work with Test Documentation;
• Automation of existing tests;
• Work with Dev/QA team through the entire lifecycle of product releases

About the project

One of the biggest company in the Hadoop world provides industry’s only converged data platform that integrates the power of Hadoop and Spark with global event streaming, real-time database capabilities, and enterprise storage. We are looking for talented QA engineers to help certify expanded Platform functionality and make it the platform of choice for operational and analytic big data use-cases.