Staff Platform Engineer – AI Infrastructure

Posted 2 days ago

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About the role

  • Staff Platform Engineer at Paytm Labs building and scaling AI infrastructure for internal teams and enterprise customers. Design and operate GPU infrastructure while handling model hosting and serving.

Responsibilities

  • Build and scale the infrastructure behind Paytm's AI inference platform
  • Own GPU infrastructure, model hosting and serving, and multi-model routing
  • Build self-service platforms for teams to provision, compute, deploy and customize models
  • Form the AI control plane for Paytm Intelligence (Pi): policy-driven routing, quotas, observability
  • Directly affect how fast agents and AI features are shipped and how efficiently hardware is used

Requirements

  • 8+ years of software engineering experience, including 3+ years building infrastructure platforms or ML/AI infrastructure
  • Deep experience with cloud infrastructure (AWS, GCP) and Kubernetes
  • Hands-on experience with GPU workloads and model serving (vLLM, TensorRT-LLM, Triton, or similar)
  • Strong software engineering fundamentals in Python, Go, or C++
  • Experience with infrastructure-as-code (Terraform, Pulumi, CDK)
  • Experience designing self-service platforms or internal developer tooling
  • Understanding of model optimization: quantization, batching, serving architectures
  • Proven ability to lead complex cross-team technical initiatives
  • Strong communication skills and the ability to influence technical direction.

Benefits

  • Paytm Labs believes in diversity and equal opportunity.
  • Commitment to meeting accessibility needs of all individuals.

Job type

Full Time

Experience level

Lead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSCloudGoogle Cloud PlatformKubernetesPythonTerraformGo

Location requirements

HybridTorontoCanada

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