TL;DR

Associate Staff Engineer, DevOps (AI/ML): Maintaining and managing Kubernetes clusters, AWS/Azure, and GPU infrastructure for high-performance ML workloads with an accent on CI/CD pipeline design, monitoring, and infrastructure automation. Focus on optimizing inference performance for ML teams, ensuring high availability and security, and driving cost optimization.

Location: Service Region: South Asia

Company

%hirify_global% is a Digital Product Engineering company scaling globally with over 17,500 experts across 39 countries.

What you will do

Maintain and manage Kubernetes clusters, AWS/Azure, and GPU infrastructure for high-performance workloads.
Design and implement CI/CD pipelines for seamless deployments and faster release cycles.
Set up and maintain monitoring and logging systems using Prometheus and Grafana.
Support vector database scaling and model deployment for AI/ML workloads.
Collaborate with ML engineering teams to optimize inference performance and resource utilization.
Automate infrastructure provisioning and configuration using Terraform and other IaC tools.

Requirements

5+ years of experience in DevOps or Site Reliability Engineering (SRE) roles.
Strong knowledge of Docker, Kubernetes, Terraform, and CI/CD pipelines.
Hands-on experience with AWS, Azure, or other cloud platforms.
Good understanding of monitoring and logging systems (Prometheus, Grafana).
Strong troubleshooting and problem-solving skills in high-scale environments.
Bachelor’s or master’s degree in Computer Science or a related field.

Nice to have

Familiarity with GPU infrastructure and ML workloads.
Exposure to vector databases and AI/ML deployment pipelines.

Culture & Benefits

Work culture is dynamic and non-hierarchical.