Artificial Intelligence / Site Reliability Engineer

AI Engineer
Remote
September 10, 2026
Full Time
Application ends: December 9, 2026
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Job Description

The ideal candidate will have strong hands-on experience supporting software platforms on any combination of the following platforms – Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.

Skills :

  • Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)
  • Design and build automation for core platform capabilities, reducing manual toil
  • Develop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.
  • Establish, monitor, and enforce SLOs/SLIs/SLAs, error budgets, alerting, and dashboards
  • Lead incident response, root cause analysis (RCA), postmortems, and systemic remediation
  • Perform capacity planning, scaling strategies, workload scheduling, and resource forecasting
  • Optimize cost vs. performance tradeoffs in large-scale compute environments
  • Production experience in SRE / Infrastructure / ops for large-scale systems
  • Strong programming/scripting skills (Python, Go, Java, or equivalent)
  • Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
  • Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
  • Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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