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Vantor

DevSecOps Engineer (TS/SCI)

Posted 5 Hours Ago
Be an Early Applicant
In-Office
2 Locations
150K-185K Annually
Mid level
In-Office
2 Locations
150K-185K Annually
Mid level
The role involves developing and maintaining CI/CD solutions using OpenShift, administering Kubernetes and Docker, and collaborating with a distributed team to support national security operations.
The summary above was generated by AI

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next.  Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

We're on the lookout for a dynamic DevSecOps Engineer with OpenShift prowess, ready to join our tight-knit solutions-oriented team. As a crucial part of our multi-disciplinary ops, software, and analytics crew, the ideal candidate will bring methodical expertise and a mission-focused mindset. Dive into this one-of-a-kind project, engaging directly with users and fellow technologists to shape solutions that cater to the demands of national security.

Responsibilities:

  • Perform design, implementation and maintenance for OpenShift CI/CD solutions to support rapid development and automated integration.
  • Administer, troubleshoot, and configure OpenShift, JupyterHub, Kubernetes, Docker deployments.
  • Troubleshoot and resolve network, automation pipelines, and infrastructure issues.
  • Design and apply hybrid deployment strategy (cloud and local virtualized).
  • Strong systems background with ability to work on a small team of engineers and also interface with global user base.
  • Communicate with multidisciplinary SAFe Agile team and articulate technical concepts and ideas effectively.

Minimum Qualifications:

  • U.S. citizenship and an active TS/SCI (ability to obtain a CI poly).
  • Bachelor’s degree in computer science, software engineering, or related technical area with 4+ years of technical experience developing and administering Python- and R-based software for the intelligence community and/or big data analytics.
  • Experience in CI/CD development with OpenShift, JupyterHub, Docker, Kubernetes, GitLab, Jenkins, and/or Ansible.
  • Experience in open-source and custom application deployments and maintenance.
  • Capable of working effectively with a geographically distributed operations and development team.
  • Effective communicator with customers and a geographically dispersed team in written and oral forums.
  • Willingness to work onsite at least 80% or as program needs dictate.

Preferred Qualifications:

  • Adaptable, solution-oriented professional with experience working independently in fast-paced, dynamic environments.
  • Strong background in geospatial technologies, DevSecOps, and core data concepts (visualization, integration, management, databases, UI).
  • Experience developing, deploying, and supporting web services in distributed environments (REST APIs, microservices, IaaS/PaaS), including air-gapped and production systems, with exposure to big data platforms (Spark, Hadoop, ElasticSearch, etc.).
  • Proficiency in Linux and hybrid cloud/on-prem architectures (AWS, C2S, OpenStack), with Security+ (or equivalent) and experience supporting military/intelligence environments.

Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings.  The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.

The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:

$150,000.00 - $185,000.00

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire.  If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. 

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Top Skills

Ansible
AWS
C2S
Docker
Elasticsearch
Gitlab
Hadoop
Jenkins
Jupyterhub
Kubernetes
Openshift
Openstack
Python
R
Spark

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