Senior DevOps Engineer - Remote
At a glance
Senior DevOps & Release role at ClanX. Remote, India · full-time.
Pay not stated DevOps Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run cloud infrastructure on AWS, GCP and Azure, tuning it for reliability, scale, performance and cost
- Take CI/CD pipelines from code integration through automated releases, and maintain Terraform-based infrastructure
- Package and orchestrate services with Docker and Kubernetes, including GPU capacity for AI training and inference
- Set up monitoring, logs and alerts, and support isolated enterprise deployments with security and audit controls
- Work with ML, Security and Engineering teams to scale workloads and strengthen infrastructure resilience
What you bring
- At least three years in DevOps, cloud infrastructure or site reliability engineering
- Practical experience with AWS, GCP or Azure, plus Docker and Kubernetes
- Experience creating CI/CD pipelines and using Terraform or a comparable infrastructure-as-code tool
- Clear written and spoken English, with strong troubleshooting skills
Who this fits
This senior, hands-on role suits an engineer comfortable operating production cloud systems and supporting ML workloads. The position is remote in India; candidates open to a hybrid setup in Delhi are preferred.
From the employer
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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