
Senior DevOps Engineer
19 hours ago
Job Description: Senior DevOps Engineer AI Platform
Position: Senior DevOps Engineer
Experience Required: 8+ years
Location: Manjeera Trinity, Hyderabad
Timings: 5:30 PM 2:30 AM (US Shift Timings)
Employment Type: Full-Time
About the Role
We are building a next-generation, AI-driven enterprise platform that leverages cloud, automation, and generative AI to transform how organizations operate.
We are seeking a Senior DevOps Engineer with deep expertise in Azure Cloud, CI/CD automation, containerization, and microservices to design and manage the platform's infrastructure. The ideal candidate will have experience enabling scalable, secure, and AI-ready architectures that support rapid innovation and seamless software delivery.
Key Responsibilities
- Cloud & Infrastructure: Design, implement, and manage highly available cloud infrastructure in Microsoft Azure (VMs, AKS, ACR, Networking, Security).
- CI/CD & Automation: Build and maintain CI/CD pipelines (Jenkins, GitHub Actions) for microservices and AI-based applications.
- AI-Driven Platform Enablement: Collaborate with AI/ML and development teams to integrate generative AI modules into production environments.
- Infrastructure as Code (IaC): Automate provisioning and configuration management using Terraform/ARM templates.
- Containerization: Deploy and manage microservices with Docker and Kubernetes (AKS), ensuring scalability and resilience.
- Version Control: Manage code repositories, workflows, and governance in GitHub (branching, PR reviews, security).
- Monitoring & Security: Implement observability solutions (Azure Monitor, Prometheus, Grafana, ELK) and enforce security best practices.
- DevOps Evangelism: Drive adoption of DevOps and cloud-native best practices across engineering teams.
- Troubleshooting: Diagnose and resolve complex issues in distributed, AI-enabled microservices environments.
Required Skills & Qualifications
- 8+ years of experience as a DevOps Engineer / SRE / Cloud Engineer.
- Strong hands-on expertise with Microsoft Azure services (AKS, ACR, Networking, Security, Key Vault).
- Proven experience with Microservices architecture, Docker, Kubernetes.
- Expert in building and maintaining CI/CD pipelines (Jenkins, GitHub Actions).
- Proficiency in IaC tools (Terraform, ARM templates, Bicep).
- Hands-on experience with monitoring, logging, and observability tools.
- Strong scripting in Python, Bash, PowerShell, or Groovy.
- Solid understanding of cloud security, compliance, and scalability principles.
- Excellent communication and collaboration skills.
Preferred Skills (Nice to Have)
- Experience with Ansible, Helm, or ArgoCD.
- Exposure to AI/ML infrastructure setups for generative AI workloads.
- Knowledge of hybrid cloud and enterprise integrations.
- Familiarity with Agile/Scrum methodologies.
Education
Bachelor's/Master's degree in Computer Science, Information Technology, or related field (or equivalent work experience).
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