Mindex is seeking a DevOps Engineer to join our team in supporting and scaling modern AI-powered platforms, including AI/ML services and Virtual Agent systems. This role focuses on building reliable CI/CD pipelines, automating cloud infrastructure, and ensuring high availability, security, and performance across cloud-native, distributed environments.

What You'll Do

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.

What We're Looking For

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.

Nice to Have

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.

Technical Stack

CI/CD & Tools: GitHub Actions, GitOps, GCP-native tools, Azure DevOps, Jenkins, Terraform
Containers & Orchestration: Docker, Kubernetes, Cloud Run, AKS, GKE
Languages: Python, Shell, Java, Groovy
Platforms: Google Cloud Platform, Azure

Benefits & Compensation

Compensation range: $90,000-$120,000
Health, dental, and vision insurance
Employer paid disability insurance
Life insurance and AD&D insurance
Flexible spending accounts and health savings account with employer contributions
401k retirement savings plan and company match with pre-tax and ROTH options
Paid holidays and flexible time off
Employee assistance program
Additional coverage: Accident, critical illness, hospital indemnity, and legal assistance
Adoption assistance and domestic partner coverage