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DevOps Engineer

Location

New York

Posted

172 days ago

Salary

$90K - $120K / year

Seniority

Senior

Job Description

DevOps Engineer

Mindex

• Design, implement, and manage CI/CD pipelines using GitHub Actions, GitOps, GCP-native tools, Azure DevOps, and Jenkins. • Develop, automate, and maintain infrastructure as code across multi-cloud environments (GCP, Azure; Kubernetes, Cloud Run, AKS, GKE). • Build, deploy, and operate containerized services, ensuring health, security, scalability, and high availability. • Integrate tools, platforms, and APIs to streamline operations across AI/ML and virtual agent ecosystems. • Develop and maintain automation scripts and tooling using Python, Shell, and Java/Groovy where appropriate. • Monitor system and application health, implement proactive alerting, and continuously improve reliability and performance. • Troubleshoot infrastructure, networking, and deployment issues across cloud services and application stacks. • Collaborate with engineering and product teams to optimize release processes and platform reliability. • Promote DevOps best practices and maintain clear documentation for system architecture, operations, and troubleshooting.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 3+ years experience as a DevOps Engineer, Site Reliability Engineer, or similar role in cloud-based environments.
  • Strong hands-on experience with modern CI/CD pipelines and automation practices.
  • Proficiency with infrastructure as code, containerization, and orchestration technologies (Terraform, Docker, Kubernetes).
  • Solid programming and scripting skills in Python and at least one additional language (Shell, Java, or Groovy).
  • Hands-on experience with cloud platforms, particularly Google Cloud Platform and/or Azure.
  • Strong understanding of cloud networking, security best practices, and scalable system design.
  • Experience building and supporting automated deployment, monitoring, and alerting solutions.
  • Ability to work effectively in a fast-paced, collaborative engineering environment.
  • Preferred: Experience supporting AI/ML platforms, MLOps workflows, or conversational / virtual agent systems.
  • Familiarity with multi-cloud architectures and additional cloud providers (AWS, Azure, GCP).
  • Exposure to security automation, compliance, or reliability engineering best practices.

Benefits

  • Health insurance
  • Paid holidays
  • Flexible time off
  • 401k retirement savings plan and company match with pre-tax and ROTH options
  • Dental insurance
  • Vision insurance
  • Employer paid disability insurance
  • Life insurance and AD&D insurance
  • Employee assistance program
  • Flexible spending accounts
  • Health savings account with employer contributions
  • Accident, critical illness, hospital indemnity, and legal assistance
  • Adoption assistance
  • Domestic partner coverage
  • Tickets to local sporting events
  • Teambuilding events
  • Holiday and celebration parties
  • Leadership training
  • License to Udemy online training courses
  • Growth opportunities

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