Genesis10

Genesis10

DevOps Engineer

Pennington, New Jersey, USA · Mid · full-time

Sponsorship not specified$58k-$66kDetected 39 days ago
PythonBashDistributed SystemsGitRedisAWSGCPAzureCloud PlatformsTerraformCI/CDGitHub ActionsJenkinsNginxDevOpsLoad BalancingProblem SolvingPipeline Integrity

About the role

  • Genesis10 is currently seeking a DevOps Engineer position with a Global Financial Institution located in Pennington, NJ.
  • You will be responsible for designing, deploying, and maintaining scalable cloud environments and automating our infrastructure lifecycle.

Responsibilities

  • Design, build, and maintain complex infrastructure using
  • Build and optimize automated CI/CD pipelines to facilitate rapid, reliable code deployments
  • Implement proactive monitoring and logging solutions to identify and resolve performance bottlenecks before they impact the user

Requirements

  • Hands-on experience with cloud environments (AWS,
  • Strong proficiency in writing, managing, and versioning
  • If you have the described qualifications and are interested in this exciting opportunity, please apply!

Skills

  • This is a 12+ month contract opportunity.

Compensation

  • $58.31 - $66.31 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.

Benefits

  • For contract roles, Genesis10 offers the benefits listed below.
  • If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client.
  • Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.

Equal opportunity

  • Genesis10 is an Equal Opportunity Employer.
  • Equal Opportunity Employer.
  • Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

This listing is sourced directly from Genesis10's careers page and normalized into a canonical job model.