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DevOps / Integration Engineer (Closed)

SkillStorm is seeking a Dev Ops / Integration Systems Engineer for our client in Richardson, TX. Candidates must be able to work on SkillStorm's W2; not a C2C position. EOE, including disability/vets.

Job Description:

• Our Client is seeking a Dev Ops / Integration Systems Engineer for GRID platform with working experience in large enterprise Grid/Cloud infrastructure. Will be responsible to implementation of automation tools to support, large scale migration of grid infrastructure to newer provisioning technology and maintain system currency baseline using continuous Integration / Delivery, automation.

Responsibilities Include:

• Support development and production environments using automation tools and
• process
• Ongoing support of Grid infrastructure following best practices including following ITSM Process, monitoring, triage for major issues, etc
• Work collaboratively with a geographically dispersed team
• Gather and analyze requirements for automation and operation tools
• Work with Engineering team to test and deploy automated workflow in support of the IT business
• On-call coverage requirements and support break-fix needs when required
• Coordinate change releases. Work Line of Business support team to ensure successful deployments and compliance with standard operating procedures

Required Job Skills:

• Minimum of 5+ years in Python, shell/Bash/Ksh.
• Strong understanding of Linux Operating system
• Good experience in Bare metal provisioning,
• Good experience in Continuous Integration and Delivery practices and automation tools (e.g., Jenkins, Ansible / Tower)
• Experience with SDLC development processes (Waterfall, Agile, Lean) and tools (e.g., Jira, Confluence, Git,etc)
• Strong knowledge and understanding of network technologies (e.g., TCP/IP networking, SSL, Firewall, Proxy, Load Balancing)
• Proven ability to work independently with minimal supervision and as part of a team with direct responsibilities.
• Experience with IT core applications like DNS, Active Directory, Kerberos, SMTP, Transactional DBs, Apache, etc.
• Excellent problem solving & troubleshooting skills
• Good understanding and work experience in an Enterprise Environment
• Familiarity with Agile development methodology including SCRUM and DevOps.

Desired Job Skills:

• Experience with configuration of HPC job management and scheduling software such as Spectrum, SLURM, or similar technology
• GPU computation and CUDA Experience configuring and running Cluster Management Software
• Experience designing and building HPC application environments on Hybrid Cloud infrastructure, including services for big data analytics, scale out HPC applications, GPU-centric ML and deep learning
• Strong knowledge and understanding of x86 and RHEL platform in relation to HPC on CPU and GPU (NVIDIA) platforms
• Machine Learning and Data Science engineering skills with focus on Pytorch, Jupyter, Tensorflow, Apache Spark, H2O etc , a plus
• Ability to handle highly volatile support with platform and clients spanning multiple time zones
• Experience with large, distributed environments (10,000+ servers).

Education/Experience

• Minimum of a 4-year degree in computer science or equivalent experience
• 5-7 years infrastructure or software engineering / development experience
• Candidate with exposure to large enterprise grid deployment and/or Cloud integration experience is preferred

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