Senior Devops Architect

Hello All,

Greetings from ZettaMine!!!

Job Title: DevOps / Platform Engineer

Location: PAN India

Experience: 7+ Years

Notice Period: Immediate Joiners

Role Overview

We are seeking a highly experienced DevOps / Platform Engineer (15+ years) with strong expertise in cloud infrastructure, CI/CD pipelines, and platform engineering. This role focuses on managing scalable cloud environments, automating deployments, and ensuring high availability, reliability, and security of enterprise systems.

You will play a critical role in enabling efficient software delivery and AI workload deployment by building robust infrastructure pipelines, monitoring systems, and automated release processes.

Core Responsibilities

Cloud Infrastructure & Platform Management

• Design, build, and manage scalable cloud infrastructure (AWS or multi-cloud)
• Ensure high availability, reliability, and performance of infrastructure
• Optimize cloud resources, cost, and system efficiency

(DevOps engineers manage and optimize cloud infrastructure for scalable and reliable systems) [interviewguy.com]

CI/CD & Deployment Pipeline Engineering

• Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment
• Enable continuous integration and delivery for faster and reliable releases
• Manage release pipelines across multiple environments

(DevOps roles primarily focus on implementing CI/CD pipelines and automating deployments) [expertia.ai]

Infrastructure Automation & IaC

• Automate infrastructure provisioning using Terraform and Infrastructure-as-Code (IaC)
• Standardize deployment processes across environments
• Reduce manual effort through automation and scripting

(Infrastructure automation using IaC tools like Terraform is a core responsibility) [evisiontec...oserve.com]

Containerization & Orchestration

• Build and manage containerized environments using Docker
• Deploy and scale applications using Kubernetes
• Support microservices and distributed architectures

(Containerization and orchestration using Docker and Kubernetes are key DevOps practices) [expertia.ai]

Monitoring, Observability & Reliability

• Implement monitoring, logging, and alerting systems
• Build observability layers using tools like Prometheus, Grafana, or ELK
• Ensure uptime, SLA compliance, and proactive issue resolution

(DevOps engineers set up monitoring and logging to ensure system performance and reliability) [evisiontec...oserve.com]

Security & Compliance

• Implement cloud security best practices (IAM, encryption, network security)
• Ensure secure deployment pipelines and infrastructure compliance
• Manage access control, secrets, and vulnerability mitigation

AI Workload Deployment & Scaling

• Support deployment and scaling of AI/ML workloads and pipelines
• Enable infrastructure for AI model training, inference, and media pipelines
• Optimize compute and storage resources for AI-driven systems

(Cloud/DevOps platforms increasingly support AI workloads and scalable infrastructure) [jobdescription.org]

Release Operations & Collaboration

• Manage release cycles, environment configurations, and deployment workflows
• Collaborate with development, QA, and operations teams
• Troubleshoot and resolve infrastructure and deployment issues

Required Skills & Experience

Experience

• 15+ years in DevOps, Platform Engineering, or Cloud Infrastructure
• Strong experience managing enterprise-scale deployments and production systems

Cloud & DevOps Skills

• Expertise in AWS (or similar cloud platforms)
• Strong experience with CI/CD tools (Jenkins, GitLab CI, etc.)
• Deep understanding of cloud architecture and distributed systems

Infrastructure & Automation

• Proficiency in Terraform (Infrastructure as Code)
• Experience with automation scripts (Python, Bash, etc.)
• Strong understanding of infrastructure provisioning and scaling

Containerization & Orchestration

• Hands-on experience with Docker and Kubernetes
• Experience deploying microservices-based architectures

Monitoring & Observability

• Experience with monitoring, logging, and alerting tools
• Ability to ensure system uptime, performance, and reliability

AI/Platform Awareness

• Understanding of AI workload deployment and media pipeline scaling
• Awareness of infrastructure requirements for AI/ML systems

Interested candidates kindly share your updated CV to jahnavi.g@zettamine.com or WhatsApp to 8977537950.

Thanks & Regards,

Jahnavi.G