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DevRev

Senior Member of Technical Staff: ML Systems and Infrastructure

DevRev · Bangalore, India

Posted 13 days ago

or apply directly on DevRev's site. We never take the application ourselves.

Is this posting real?

This role has been open
13 days
DevRev's roles stay open a median of 45 days
Reposted
No
Salary listed
No
0% of DevRev's roles list one
Ghost-job risk at DevRev
high
28 stale, 0 reposted of 48 open
Hiring momentum
64 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from DevRev's own greenhouse board since 2026-08-03. Full hiring picture for DevRev.

About this role

In this role, you will design and build the infrastructure that supports the lifecycle of machine learning models at DevRev. You will optimize and implement inference stacks for large language models, collaborate with AI research teams to enhance their workflows, and automate CI/CD pipelines for model management. Your work will focus on ensuring high performance and scalability of AI systems while providing a seamless developer experience.

Our read on this posting3.0out of 5
benefits
1/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of DevRev as an employer.

What you need

  • 5+ years in infrastructure or software engineering
  • 2+ years focused on MLOps or ML infrastructure for large-scale distributed systems
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Deep hands-on expertise with Kubernetes in production
  • Fluency in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows
  • Experience optimizing platform performance and scalability considering GPU resource utilization

Nice to have

  • Deep performance optimization skills, including writing custom inference kernels in CUDA or Triton
  • Experience with model optimization techniques like quantization, distillation, and speculative decoding
  • Exposure to training and serving multi-modal models
  • Knowledge of AI safety and evaluation frameworks for monitoring model performance

Worth weighing

  • No salary listed
  • Background verification process required for hiring
  • Role heavily focused on MLOps and infrastructure, which may not appeal to all candidates

Summarised from DevRev's posting. Read the full original.

Listed by DevRev on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at DevRev

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