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Senior DevOps Engineer - Remote

📅 Jul 11
DevOpsCloud InfrastructureSite Reliability EngineeringAWS
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📜 Description

  • 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.

🛠️ 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.
Full job description

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: https://www.conqr.ai/

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.

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