Rate: Open

Job Description :

RESPONSIBILITIES:

• Is immediately seeking a well-seasoned DevOps Engineer for our global personal systems technology client in Northwest Houston, TX.
• Our Mobility SW and Services group has a mission to develop new products that provide significant growth opportunities for the company.
• This team is tasked with developing software solutions that give people compelling, easy-to-use experiences, whether it is a business computing, mobility or personal device.
• Candidate will join a team designing and building software that will deliver best in class experience for tens of millions of our customers focusing on mobility solutions, software & device as a service.
• Amongst other innovative solutions, our client created a powerful cloud-based app that helps companies short on IT resources simplify and accelerate everyday IT management tasks.
• This year the press also celebrated our phablet with Windows Continuum as the single Device for your office and on the go and featured our
• Workspace solution that virtualize your favorite desktop apps to use the processing power of the Cloud.

• Primary responsibilities of this role, as an individual contributor will be to manage, maintain, and Engineer Linux-based systems for our highly-available, public-facing SaaS solution, as well as our internal DevOps environments
• Implement and manage continuous delivery systems and methodologies on AWS
• Understand, implement, and automate security controls, governance processes, and compliance validation
• Define and deploy monitoring, metrics, and logging systems on AWS
• Design, manage, and maintain tools to automate operational processes
• Oversee DevOps Analytics backlogs

• BS or MS in Computer Science, related field, or equivalent industry experience
• Minimum 2+ years of experience provisioning, operating, and managing AWS environments, specifically within big data focused projects involving technologies such as S3, Spark, Scala, Data Pipelines, Redshift, DynamoDB and/or Aurora
• 2+ years work on deployment to production of one of following Big Data Technologies (either of MapReduce, Hadoop, Pig, Apache SPARK, Apache STORM)
• At least 10 years overall experience, including a minimum of 3 years in DevOps and 5 years of Linux systems administration in SW Development related environment
• Ability to work with R-DBMS systems and being proficient with SQL design and query is a must
• Prior experience in designing a live & released - big data analytics pipeline deployment is a must (at least 1 instance, where candidate must have architected/co-architected a big data pipeline)
• 4+ years of design experience with large-scale Public Cloud production environments in either development or DevOps capacity, preferably as part of an online service provider environment (AWS, Azure, Rackspace)
• Hands-on knowledge & prior project experience of at least 3 out of: Git/Jenkins/Code Deploy/Salt/Docker/Kubernetics/Amazon EMR/Amazon Kinesis/AWS Data Pipeline
• Proven scripting and debugging in languages such as bash, perl, ruby, and/or python
• Strong understanding of Internet technologies, including DNS, VPN, SSH/SSL, load balancing and security
• A firm grasp of basic networking concepts including routing, subnets and firewalls
• Strong Virtualization skills preferably on AWS or Azure