Senior DevOps Engineer - Remote

CLANX · Remote job · posted Oct 12, 2026

Open to candidates worldwide

More remote jobs open to candidates in India, Vietnam, Indonesia, Pakistan, Nigeria, Bangladesh, Malaysia, Philippines, Brazil, Colombia, Kenya, Ghana, Egypt, South Africa, Mexico, Argentina, Turkey, Ukraine, Sri Lanka and Nepal

Full-timeseniorAI/ML

You apply on the company's own site. We never charge to apply.

What this role actually asks for

Extracted by RemoteHunt

Must have

  • •3+ years of experience in DevOps, Cloud Infrastructure, or SRE
  • •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 (Terraform)
  • •Experience with Git, GitHub Actions, or similar

Nice to have

  • •Familiarity with GPU infrastructure and ML workload deployment
  • •Experience supporting private, VPC-isolated enterprise deployments

Tools and technologies

AWSGCPAzureDockerKubernetesTerraformGitGitHub ActionsGPU

The full posting

About the Role

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.

Send this job to a friend:TelegramWhatsApp

Similar remote jobs

Get new jobs like this by email

Once a week. Remote DevOps engineer jobs that can hire you in your country.

Hiring in: your countryChange

Weekly, only when there are at least 3 new jobs. No account needed. Unsubscribe in one click. You never pay to apply. Privacy

Is this one actually worth your time?

RemoteHunt scores every remote job 0–100 against your own resume, so you apply to the handful that fit instead of the hundred that don't. Free plan, no card required.