Iderize
Techjays - DevOps Lead - Cloud Infrastructure
- Compensation
- Not disclosed
- Location
- Coimbatore
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Full time
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Full description
Why Techjays :
At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core.
We're part of the small percentage of companies globally building secure, production-grade AI systems that drive measurable business outcomes.
Our team brings together engineers and leaders who have built and scaled products at organizations like Google, NetApp, ADP, Cognizant Consulting, and Capgemini.
We're looking for a DevOps Lead who can own cloud infrastructure, automation, CI/CD, reliability, and engineering practices for modern software and AI-enabled platforms.
The ideal candidate will be deeply specialized in either AWS or Azure, with strong hands-on DevOps experience and practical exposure to AI workloads or AI-driven products.
Key Skills :Cloud Technologies (Expert) :
- Strong hands-on expertise in either AWS or Azure, with deep practical experience designing, deploying, and operating production cloud environments.
AWS :
- EC2
- S3
- IAM, VPC
- EKS
- Lambda, ECR, CloudWatch, and related infrastructure services.
Azure :
- Azure VMs
- VNets, AKS
- Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.
CI/CD :
- Azure DevOps, GitHub Actions, Jenkins, GitLab CI, or equivalent, including multi-stage pipelines, approvals, artifact management, and deployment automation.
Containers & Kubernetes :
- Docker, Kubernetes, AKS or EKS, Helm, scaling, networking, secrets, and production workload management.
Infrastructure as Code :
- Strong Terraform experience preferred.
- Exposure to CloudFormation, Bicep, ARM, or similar IaC tools is valuable.
Automation & Scripting :
- Strong Python, Bash, and/or PowerShell skills for infrastructure automation, deployment, and operational tooling.
Monitoring & Reliability :
- CloudWatch, Azure Monitor, Prometheus, Grafana, centralized logging, alerting, incident management, and performance optimization.
AI Exposure :
- Prior experience supporting AI/ML applications, GenAI platforms, AI services, LLM applications, or AI-enabled products.
- This is an exposure requirement, not an MLOps-specialist role.
Experience :
- 10+ Years.