DevOps Lead

India - Remote

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This role is for one of the Weekday's clients

We are looking for a Senior DevOps Engineer with 4+ years of experience to design, build, and optimize infrastructure for secure, scalable, and high-performance AI applications. In this role, you will drive automation, reliability, and scalability, working with cutting-edge cloud technologies in a fast-paced startup environment.

Requirements

Key Responsibilities

  • Design, implement, and optimize cloud infrastructure on Google Cloud Platform (GCP).
  • Develop and manage CI/CD pipelines to enable seamless deployments with minimal downtime.
  • Deploy, monitor, and maintain Kubernetes clusters for high-availability and scalable applications.
  • Implement MLOps best practices for AI/ML model deployment, monitoring, and optimization.
  • Enhance security, observability, and performance of production systems.
  • Automate infrastructure provisioning and management using Terraform, Helm, and related tools.
  • Collaborate with engineering teams to streamline DevOps workflows and improve system reliability.

What We’re Looking For

  • 4+ years of hands-on experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure.
  • Strong expertise in GCP, including networking, security, and cloud service scaling.
  • Deep understanding of Kubernetes, Helm, and containerization best practices.
  • Proficiency in CI/CD pipeline development using GitHub Actions, ArgoCD, or Jenkins.
  • Experience with MLOps workflows, model serving, and AI infrastructure.
  • Hands-on scripting and automation skills in Python, Bash, or similar languages.
  • Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.
  • Strong problem-solving skills and the ability to thrive in a fast-paced startup environment.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: CI/CD DevOps ELK Engineering GCP GitHub Google Cloud Grafana Helm Jenkins Kubernetes Machine Learning ML infrastructure MLOps Model deployment Pipelines Python Security Terraform

Perks/benefits: Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India

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