Tech Lead DevOps (AI/MLOps)

Location: Hyderabad, India

Company

hirify.global operates a global online vehicle auction platform connecting vehicle sellers with buyers across more than 190 countries.

What you will do

• Lead and mentor the DevOps and Platform Engineering team and define cloud, DevOps, and AI infrastructure strategy.
• Design and manage scalable CI/CD pipelines, automated releases, Infrastructure as Code, and GitOps workflows.
• Build and support MLOps infrastructure for model training, deployment, monitoring, drift detection, and retraining.
• Architect and operate AWS, Azure, or GCP infrastructure with Kubernetes, Docker, and OpenShift.
• Implement monitoring, logging, tracing, alerting, SRE metrics, incident response, and AIOps capabilities.
• Drive DevSecOps, IAM, secrets management, vulnerability management, compliance, and infrastructure security.

Requirements

• 8+ years of experience in DevOps, Cloud Engineering, or Platform Engineering, including leadership experience.
• Hands-on experience with AWS, Azure, or GCP; CI/CD tools; Terraform or CloudFormation; Docker; Kubernetes; and configuration management tools.
• Strong scripting or programming skills in Python, Bash, Go, or a similar language.
• Experience with observability tools such as Prometheus, Grafana, ELK, Datadog, or Splunk.
• Experience with AI/ML infrastructure, MLOps tools, model deployment, lifecycle management, and data pipelines.
• Knowledge of cloud-native security, AI-assisted operations, distributed systems, and high-availability environments.

Nice to have

• Experience with GPU infrastructure and optimization of AI/ML workloads.
• Experience scaling high-traffic or AI-driven applications.
• Cloud, Kubernetes, DevOps, or AI/ML certifications.
• Experience with Agile/Scrum, SRE practices, and platform engineering concepts.

Culture & Benefits

• Emphasis on diversity, inclusion, collaboration, and continuous improvement.
• Cross-functional collaboration with Engineering, QA, Security, Product, Data Engineering, and AI/ML teams.
• Work in fast-paced, high-availability environments focused on reliability and operational efficiency.