Role: Sr. DevOps Engineer Job Location: Raritan, NJ Duration: Long term
Strong background in Linux/Unix Administration
Hands on skills and working understanding of code and script (Python, Bit bucket)
Ability to use a wide variety of open source technologies and cloud services (experience with AWS is required). 5+ years of experience with AWS environment, operations and automation.
Automate all aspects of the CI/CD process i.e. build, deploy & test.
Strong experience with Jenkins configuration and creating Jenkins jobs, and experience with Docker.
Source control with Git, and code hosts such as GitHub, Gitlab, etc.
Experience in Chef, Docker Image, Docker File etc.
Extensive experience with Atlassian Tool Stack. (Jira, Confluence, Bitbucket)
Experience with automation/configuration management using either Puppet, Chef or an equivalent
Handle code deployments in all environments
Build, maintain, and monitor configuration standards
Strong experience with SQL and Marklogic/NoSQL experience is a plus.
Design and implement build, deployment, and configuration management
Build and test automation tools for infrastructure provisioning
Brainstorm for new ideas and ways to improvement development delivery
Maintain day-to-day management and administration of projects
Document and design various processes; update existing processes
Improve infrastructure development and application development
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Associated topics: .net, backend, back end, develop, matlab, programming, sdet, software developer, software development engineer, software programmer
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.