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Chennai · Hybrid · 5-8 Yrs · Oct 12
3 views
5 open roles0 posted in 7d5 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Modern DevOps is no longer just about automating deployments, it's about building intelligent, cloud-native platforms that power the next generation of AI-enabled enterprise applications.
Responsibilities
- Design, implement, and manage cloud-native infrastructure across AWS, Azure, or Google Cloud Platform
- Build and maintain automated CI/CD pipelines that support rapid, secure, and reliable software delivery
- Deploy and manage containerised applications using Kubernetes and Docker
- Provision infrastructure using Infrastructure as Code (Terraform, CloudFormation, or similar tools)
- Enable scalable deployment and lifecycle management of AI-enabled applications and services
- Implement monitoring, logging, tracing, and observability solutions for enterprise platforms
- Collaborate with Engineering, AI, Security, and Product teams to improve deployment velocity and platform reliability
- Automate operational processes to improve scalability, resilience, and efficiency
- Implement DevSecOps practices including security scanning, secrets management, and compliance automation
- Continuously optimise cloud infrastructure for performance, cost efficiency, and operational excellence
- 5-10 years of DevOps experience understanding the infrastructure requirements of modern AI-enabled applications
- Container and orchestration expertise: Docker, Kubernetes, and Helm
- Infrastructure as Code proficiency with Terraform, plus at least one cloud-native templating tool
- CI/CD ownership across Jenkins, GitHub Actions, Azure DevOps, or GitLab CI/CD
- Experience deploying and managing AI/ML or LLM-powered applications, including GPU-enabled cloud infrastructure and containerised AI inference services
- Monitoring and observability tooling experience, Prometheus, Grafana, or equivalent
- MLOps and LLMOps fundamentals, including vector database deployment and management
- AI application observability and monitoring experience
- Prompt engineering fundamentals and AI-assisted DevOps workflows, GitHub Copilot, Cursor, or similar
- Cost optimisation experience for AI infrastructure and cloud resources
- Genuine infrastructure ownership powering AI-enabled enterprise applications, not a support function
- Exposure to GPU-enabled, cutting-edge AI infrastructure at enterprise scale
- Competitive compensation reflecting current market demand for this profile
- Flexible work arrangement, Onsite, Hybrid or Remote depending on the engagement
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Job application FAQ
Last updated 27 October 2026
- How do I apply for AI-Native DevOps Engineer at Qfyre TechLabs?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Qfyre TechLabs may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI-Native DevOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI-Native DevOps Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this AI-Native DevOps Engineer role at Qfyre TechLabs?
- This is a mid-level AI-Native DevOps Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.