出海雷达

资深DevOps工程师-远程

Senior DevOps Engineer - Remote

开发工程限定地区(需当地身份)
公司ClanX
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间2 天前
数据来源Himalayas
前往 Himalayas 查看并投递 →
注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

DevOps Engineer with 3+ years of experience to build, automate, and operate scalable cloud infrastructure, CI/CD pipelines, and ML workloads across multi-cloud environments.
Company Details
Conqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users.
Website:
Requirements

  • 3+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
  • Hands-on experience with AWS, GCP, and/or Azure.
  • Strong knowledge of Docker and Kubernetes.
  • Experience building and managing CI/CD pipelines.
  • Proficiency with Infrastructure as Code tools such as Terraform.
  • Experience with Git, GitHub Actions, or similar automation tools.
  • Understanding of monitoring, logging, and observability platforms.
  • Experience managing production infrastructure with a focus on reliability and scalability.
  • Knowledge of networking, VPCs, security groups, and cloud-native services.
  • Familiarity with GPU infrastructure and ML workload deployment is a plus.
  • Strong troubleshooting and problem-solving skills.
  • Excellent written and verbal communication skills in English.

Responsibilities

  • Design, build, and operate infrastructure across AWS, GCP, and Azure.
  • Optimize cloud environments for performance, reliability, scalability, and cost efficiency.
  • Own CI/CD pipelines from code integration through automated deployment.
  • Implement and maintain Infrastructure as Code using Terraform or similar tools.
  • Containerize and orchestrate services using Docker and Kubernetes.
  • Manage GPU-enabled infrastructure for AI model training and inference workloads.
  • Build and maintain monitoring, logging, and alerting systems.
  • Support private, VPC-isolated enterprise deployments with strong security and audit capabilities.
  • Collaborate with ML teams to deploy and scale training and inference workloads.
  • Work closely with Security and Engineering teams to improve infrastructure resilience and operational excellence.
  • Maintain infrastructure documentation and operational best practices.

Job Details
Location: Remote (however candidates open to a hybrid work setup in Delhi preferred)
Interview Process

  • Recruiter Screening
  • Hiring Manager Discussion
  • Technical DevOps Assessment
  • Founder Round
  • Final HR Discussion

Important Note
ClanX is a recruitment partner, helping Conqr AI hire a DevOps Engineer.
Highlights
Build and scale multi-cloud infrastructure powering AI products while owning automation, reliability, and enterprise-grade deployments.
Originally posted on Himalayas

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