Hello All,
ZettaMine!!!
Job Title:
Location:
Experience: 7
Notice Period:
Role Overview
cloud infrastructure, CI/CD pipelines, and platform engineering
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
jahnavi.g@zettamine.com
Thanks & Regards,
Jahnavi.G
