Senior DevOps Engineer - Remote
At a glance
Senior DevOps & Release role at ClanX. Remote, India · full-time.
Pay not stated DevOps Engineer salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build and run cloud infrastructure across AWS, GCP and Azure, balancing reliability, scale, performance and cost
- Take CI/CD pipelines from code integration through automated releases, and maintain their infrastructure as code
- Package and orchestrate services with Docker and Kubernetes, including GPU-backed model training and inference
- Create monitoring, logging and alerting, and support secure, isolated enterprise deployments with audit capabilities
- Work with ML, Security and Engineering teams to scale workloads, strengthen resilience and document operating practices
What you bring
- At least three years in DevOps, cloud infrastructure or site reliability engineering
- Hands-on work with AWS, GCP or Azure, plus practical Docker and Kubernetes knowledge
- Experience managing CI/CD pipelines and using Terraform or comparable infrastructure-as-code tools
- Production infrastructure experience focused on reliability and scalability, with knowledge of cloud networking and security
Who this fits
This senior remote role suits someone who can operate production cloud systems and collaborate with ML, Security and Engineering teams. The position is remote, with preference for candidates open to hybrid work in Delhi.
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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