Most of the skills are equivalent to other devOps engineers but we desire reasonable experience on Hadoop (Any distribution), ELK and Elastic Systems.
DevOps Engineer III - BigData
This position will be part of the DevOps team within the R&D organization. The candidate will be responsible for creating DevOps designs, guiding the development and implementation of Big Data, SaaS & Cloud applications, systems and processes. This position will be working directly with application developers , Infrastructure engineers and Site Reliability Engineers to build and deploy highly available and scalable systems in private or public cloud environments. The candidate will need to be able to handle multiple tasks in a fast paced team environment with experience in:
Cloud and virtualization based technologies (Amazon Web Services (AWS), VMWare).
Java Application Server Administration (JBoss, Tomcat).
BigData Hadoop, CloudEra, MapR, Elastic Search , Spark
Docker and Kubernetes
Scripting Ruby, Java Script , Programming - Basic Java.
Linux/UNIX Administration (Amazon Linux and RedHat).
Developing and supporting cloud infrastructure designs and implementations and guiding application development teams.
Configuration Management tools Chef.
Automate infrastructure , middleware, application deployment related tasks.
Automate repetitive tasks required to maintain a secure an up to date operational environment.
Support always-available private/public cloud based software-as-a-service (SaaS) applications.
Support always-available private/public cloud based Big Data Analytics environments.
Deploy and manage Kubernetes based docker applications.
Create and revise infrastructure and architectural designs and implementation plans and guide the implementation with operations.
Interface between application development, infrastructure support and tools (IT Services) teams.
Development and documentation of Chef recipes. Support throughout the entire deployment lifecycle (development, quality assurance and production).
Help developers leverage infrastructure, application and cloud platform features and functionality and participate in code and design reviews.
Create knowledge sharing presentations and documentation to help developers and operations teams understand and leverage the systems capabilities.
Learn on the job and explore new technologies with little supervision.
scripting (BASH, Perl, Ruby, Python) to build required automation and tools on an adhoc basis.
Excellent problem solving skills with a desire to take on responsibility.
Extensive knowledge in containerized application and deployment in Kubernetes
Extensive knowledge of the Linux operating system, RHEL preferred.
Proficiency with shell scripting.
Experience with Java application servers.
Experience with GiT and Subversion.
Excellent written and verbal communication skills with ability to communicate technical issues to nontechnical and technical audiences.
Experience working in a large-scale operational environment.
Internet and operating system security fundamentals.
Extensive knowledge with massively scalable systems. Linux operating system/application development desirable.
Programming in scripting languages. Other object-oriented languages (C++, Java) are a plus.
Experience with Configuration Management Automation tools (chef or puppet).
Experience with SaaS, Multi-tenant web applications and Hadoop/Big Data Environments.
Experience with virtualization, preferably on multiple hypervisors.
BS/MS in Computer Science or equivalent experience.
Excellent written and verbal skills
Mandatory skills:Linux Admin, Scripting (Shell , Java , Ruby & Phyton), Chef /Ansible, AWS, tomcat, Docker, Kubernetes, Bigdata (Hadoop)
In a short span of time, APEX Services has established itself as one of the leading manpower... outsourcing consultants of India. This has happened because of our firm belief that it is our job to provide the best possible manpower to our clients. As such our professional approach to screening and short-listing the right candidates has resulted in a very satisfied client list.
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