Mindex ยท 1 day ago
DevOps Engineer
Mindex is a software development company with a rich history of success in agile software development and cloud professional services. They are seeking a skilled DevOps Engineer to support and scale modern AI-powered platforms, focusing on building reliable CI/CD pipelines and automating cloud infrastructure.
Computer Software
Responsibilities
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
Qualification
Required
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