What are the responsibilities and job description for the Systems Engineer (Linux) position at Cognitio Corp?
Job Description
The Linux Engineer must be able to utilize kickstart infrastructure to build and deploy new systems using bare metal and virtual machines. They will maintain those systems using both puppet and ansible in both cloud and on-prem environments. The ideal candidate is a hands-on engineering professional with significant experience in working closely with other Linux engineers and development teams to ensure stable, secure, operating environment at both the OS and application layers. They must have strong, firsthand technical expertise in a variety of configuration automation, deployment, and continuous integration technologies and the proven ability to fashion robust solutions that can keep pace with software development.
As a member of the Infrastructure Linux Team, this candidate will also be responsible for the implementation, support, and maintenance of all Linux infrastructure systems. The individual will work with network and systems engineers as well as application developers to install, configure, and maintain systems. Activities include but are not limited to :
Manage day to day operations of systems by monitoring system performance, configuration, maintenance, and repair.
Assist application teams with creation and configuration and deployment of Linux systems and platforms.
Work with other teams to deploy new software and improve existing systems
Project based development, implementation, and documentation of Linux systems and capabilities (Security enhancements, Resource Monitoring and Notification, Dev / Ops Automation, etc.)
Perform initial troubleshooting of issues and work with other teams, as necessary, to efficiently resolve issues.
Provide regular updates on project status through established team communication tools.
Participate in and conducting applicable accreditation support (scans, automation, auditing, etc.)
KEY RESPONSIBILITIES :
Work with a team to build, administer, and secure cloud environments, including hybrid environments, in a repeatable and reliable manner
Design, develop, test, debug, and deploy new cloud tooling and infrastructure that extend or replace existing capabilities
Collaborate with cross-functional team of software engineers, data scientists, analysts, project managers and other engineering groups
Provide ongoing maintenance, support, and enhancements introductions systems and platforms
Provide recommendations for continuous improvement
Write and update technical documentation such as system documentation, training materials, processes, and procedures
Work alongside other engineers on the team to sustain and advance our organization's capabilities
Requirements
REQUIRED KNOWLEDGE / SKILLS :
Candidate must have an active TS / SCI with a Full Scope Polygraph
Bachelor's Degree in Computer Science, Electrical, or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work / military experience.
10 years' experience.
Demonstrated hands on experience configuring cloud VPCs, subnets, route tables, and gateways
Demonstrated experience scaling applications written in Java, Python or other programming languages with Cloud Native technologies
Experience deploying code in AWS utilizing solutions such as Terraform, Ansible, and CloudFormation
Experience working with cloud native technologies, Infrastructure as Code (IAC), and / or Serverless cloud technologies
Extensive experience using both puppet and ansible in both cloud and on-prem environments
Experience securing cloud environments
Demonstrated experience achieving customer accreditation of cloud solutions for highly sensitive system
Extensive experience as a Linux Systems Administrator of Linux, preferably RHEL / CentOS (installation, configuration, upgrades, troubleshooting)
Prior experience with one or more scripting tools : Shell, Perl / CGI, Python, Ruby
Strong analytical and problem-solving skills
Ability to communicate technical information both orally and written
DESIRED KNOWLEDGE / SKILLS :
AWS Certification : Solutions Architect Professional or equivalent
Demonstrated experience with cloud technologies used with ETL and big data pipelines such as Glue, EMR, HIVE, Spark, S3, SQS, and SNS
Demonstrated experience with Kubernetes or EKS
Demonstrated experience using the AWS CDK
Prior experience with SQL querying of a relational database, such as MySQL
Prior experience setting up Docker clusters using Swarm and or Kubernetes
Prior experience with git for Infrastructure code management
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