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DevOps Engineer - AI Runtime Services

DemandbaseAccount-Based Marketing company
Hyderabad, IndiaSenior
Sageview Capital
Scale Venture Partners logo
Scale Venture Partners
Sigma Partners
Adobe Systems
Altos Ventures
Costanoa Venture Capital
Software Engineering

About the role

TL;DR

DevOps Engineer for AI Runtime Services at Demandbase.

  • AI Runtime Services owns the shared runtime that AI at Demandbase runs on.
  • The team builds and supports internal AI solutions and the tooling and services the company uses to work with LLMs day to day.
  • Key Responsibilities Own the LLM gateway, reliability, cost control, observability, evals and experimentation infra, and caching and guardrails.
  • Ensure reliability, SLOs, on-call, incident response, and postmortems for the runtime.
  • Manage LLM spend, budgets, quotas, and make it legible and smaller.
  • Instrument systems, chase cardinality and cost in a metrics/logging backend, and build alerts that fire when they should.
  • Have hands-on familiarity with how LLM systems actually work and have built something with these tools.
  • Requirements Strong production infrastructure background: Kubernetes, AWS, Terraform, GitOps.
  • Python proficiency at a level where you're comfortable owning services and tooling in it.
  • Real on-call and incident-response experience.
  • Observability fluency beyond 'we have dashboards'.
  • Hands-on familiarity with how LLM systems actually work.
View original posting →

Required skills

KubernetesAWSPythonCI/CDLLMs

Nice-to-have skills

Terraform

Domain expertise

ai

Benefits & perks

Group Medical, Personal Accident, Term Life Insurance, Preventive healthcare, Mental health support, Fitness benefit, Car lease policy, Gratuity

Tech stack

AWSGoogle CloudTerraformKubernetesEKSPythonDatadogPrometheusGitLab CI

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