“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Note: Since this is a role with potential for conversion to permanent employment, we are seeking candidates who are available for conversion.
JOB DESCRIPTION:
Job Title: DevOps Engineer Specialist
Location: Must be on-site McLean, Hybrid, T, W, TH
Duration: 6 months temp to hire
Must Have Skills: 7+ AWS, Atlassian tools, Installation of Jenkins, Jenkins developing of pipeline, SDLC, Unix,
Preferred Skills: Python, Java, SQL, Agile Methodology, Teleform, CTF
Responsibilities:
In a nutshell, this Engineer will have 3 core functions…
- Strong AWS experience
- Installing and supporting Atlassian tools, manage works flows and enable Automation in Jira.
- Installing Jenkins and developing pipelines for technology teams firm wide.
This role is for highly skilled individual, who can install Atlassian tools, Install Jenkins, Develop pipelines, has strong experience on AWS. These tools are deployed on AWS. Beyond installation, work with different technology teams and ensure the tools and pipelines are available for what they need. This team builds pipelines for the entire organization so the expectation is to Install the tools and build pipelines.
In addition, this individual will be an expert in Jira from a technical standpoint, not just as a user. Manage Work flows and use script runner to enable Automation in Jira.
Required Skills:
- At least 10+ years of hands-on experience in DevOps roles, with a focus on Atlassian tools and Jenkins.
- Extensive experience with the installation, configuration, and maintenance of Atlassian tools like JIRA.
- Experience in Jenkins for Continuous Integration/Continuous Deployment (CI/CD), including setting up, configuring, and automating Jenkins pipelines.
- Proven experience in JIRA-related automation, including writing custom scripts, plugins, or using APIs to automate tasks within JIRA.
- Proficiency in scripting languages such as Python, Groovy, Shell, or Bash for automation purposes.