Senior Engineer - DevOps/DataOps (AI)

TL;DR

Senior Engineer - DevOps/DataOps (AI): Designing, building, and maintaining scalable data and ML pipelines and infrastructure using cloud-native services with an accent on operationalizing machine learning models and ensuring high availability. Focus on automating infrastructure provisioning, optimizing Kubernetes environments, and supporting Generative AI experimentation.

Location: Remote (United States)

Salary: $119,000–$187,000

Company

hirify.global is a leading global analytics software company helping businesses in 100+ countries make better decisions.

What you will do

• Design, build, and maintain scalable data and ML pipelines and infrastructure using tools such as GitHub Actions, ArgoCD, Terraform, and Helm.
• Automate infrastructure provisioning and configuration management using cloud-native services (preferably AWS).
• Design, containerize, and manage Kubernetes (EKS) clusters and/or ECS environments in AWS.
• Partner with DevOps and SRE teams to ensure high availability, observability, scalability, and security of data and ML infrastructure.
• Work closely with Data Scientists and ML Engineers to operationalize machine learning models, including CI/CD pipelines.
• Implement observability for data pipelines and ML services using tools like Prometheus, Grafana, or Datadog.

Requirements

• 7+ years of experience in DataOps, MLOps, or related fields, with at least 2 years focused on ML model operationalization and workflow automation.
• Proficient in AWS services including EC2, S3, IAM, ACM, Route 53, CloudWatch, EKS, and ECS.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, and Helm.
• Familiarity with CI/CD for ML pipelines, GitOps practices, and tools like GitHub Actions.
• Strong scripting and automation skills using Python.
• Solid understanding of security best practices for cloud and Kubernetes environments.

Culture & Benefits

• Inclusive culture reflecting core values: Act Like an Owner, Delight Our Customers, and Earn the Respect of Others.
• Opportunity to make an impact and develop professionally through valuable learning experiences.
• Highly competitive compensation, benefits, and rewards programs.
• Engaging, people-first work environment offering work/life balance, employee resource groups, and social events.