Role Overview
Stackular is hiring a Cloud Engineer Lead (AI & Cloud Infrastructure). This is a full-time role in Hyderabad. Part of Stackular's Devops hiring, posted 3 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Title: Cloud Engineer Lead (AI & Cloud Infrastructure)
Experience: 8- 12+ Years
Employment Type: Full-Time
Work mode: On-site
Location: Raidurg Main Road, Hyderabad.
Notice Period: Immediate Joiner (15-30 days)
About the Role
We are looking for a hands-on Cloud Engineer Lead to design, automate, and manage cloud infrastructure while leading DevOps initiatives across multiple projects. The ideal candidate will have strong expertise in Azure/AWS, Infrastructure as Code, Kubernetes, CI/CD, and modern AI-assisted engineering practices.
Key Responsibilities
- Lead and mentor Cloud & DevOps Engineers.
- Design, deploy, and manage scalable cloud infrastructure on Azure and AWS.
- Build and maintain CI/CD pipelines and deployment automation.
- Implement Infrastructure as Code using Terraform, Pulumi, and Ansible.
- Manage Kubernetes clusters, Docker containers, and GitOps workflows.
- Establish monitoring, observability, security, and reliability best practices.
- Drive DevSecOps initiatives and cloud governance standards.
- Leverage AI tools to improve automation, productivity, troubleshooting, and operational efficiency.
- Support infrastructure for AI/ML, Generative AI, and Agentic AI applications.
Required Technical Skills
Programming & Automation
- Go (Golang)
- Python
- Java
- Shell Scripting (Bash)
Infrastructure Automation
- Terraform (Mandatory)
- Pulumi (Mandatory)
- Ansible (Mandatory)
- CloudFormation / Bicep
Cloud Platforms
Azure (Preferred):
- AKS, Azure DevOps, Key Vault, Virtual Networks, Azure Monitor
AWS:
- EC2, S3, RDS, IAM, VPC, Lambda, CloudWatch
DevOps & Containers
- Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps
- Docker, Kubernetes, Helm
- Git, GitHub, GitLab, Bitbucket
Monitoring & Observability
- Prometheus, Grafana, ELK Stack, Datadog, OpenTelemetry
Required Qualifications
- Bachelor’s degree in computer science, IT, Engineering, or related field.
- 8–12+ years of IT experience with 5+ years in Cloud/DevOps.
- Strong experience leading Cloud, Platform Engineering, or DevOps teams.
- Experience with enterprise-scale cloud environments.
- Excellent communication, leadership, and stakeholder management skills.
Preferred Certifications
- AWS Certified DevOps Engineer – Professional
- AWS Solutions Architect – Professional
- Microsoft Azure DevOps Engineer Expert
- Certified Kubernetes Administrator (CKA)
- HashiCorp Terraform Associate
Nice to Have
- AI/ML infrastructure deployment experience.
- Experience with LLMs, AI Agents, and MLOps.
- Knowledge of vector databases and GPU infrastructure.
- Experience with SOC2, HIPAA, or FedRAMP environments.
Frequently Asked Questions
How do I apply for the Cloud Engineer Lead (AI & Cloud Infrastructure) position at Stackular?
Use the Apply button above to submit your application directly to Stackular. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Cloud Engineer Lead (AI & Cloud Infrastructure) position at Stackular located?
This position is based in Hyderabad. Stackular has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Cloud Engineer Lead (AI & Cloud Infrastructure) at Stackular earn?
Stackular has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Cloud Engineer Lead (AI & Cloud Infrastructure) role at Stackular posted?
This role was posted on June 10, 2026 (3 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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