Company Name: VARITE India Private Limited

About The Job:

Role: Platform Engineer II

Designation:AI Engineer II (E2)

Job Summary

We are looking for an AI Cloud Engineer II (E2) to support the deployment, operation, and optimization of cloud-native infrastructure for AI and enterprise applications. The role focuses on implementing and maintaining Kubernetes-based platforms, automating operational tasks, supporting CI/CD processes, and assisting in ensuring the reliability, scalability, and security of cloud environments.

The ideal candidate should have hands-on experience with Kubernetes, Docker, cloud platforms (AWS/Azure/GCP), Infrastructure as Code, and DevOps practices. Working under the guidance of senior engineers, you will contribute to platform operations, monitoring, troubleshooting, automation, and continuous improvement initiatives.

Key Responsibilities

- Support the operation and maintenance of Kubernetes clusters (EKS/AKS/GKE/OpenShift) and AI platform workloads.

- Assist in deploying and managing applications using Helm charts across development, testing, and production environments.

- Support workload identity, secrets management, and access control using cloud-native services and enterprise standards.

- Assist in configuring and troubleshooting Kubernetes networking, ingress controllers, load balancers, DNS, and TLS certificates.

- Support storage management using CSI drivers, StorageClasses, and Persistent Volume Claims (PVCs).

- Contribute to Infrastructure as Code implementations using Terraform for cloud and platform resources.

- Assist in building and maintaining CI/CD pipelines for application deployment and operational automation.

- Follow established security and compliance standards, including RBAC, least-privilege access, and container security best practices.

- Monitor platform health, performance, logging, and alerting systems; assist in incident response and troubleshooting.

- Provide operational support for platform services such as PostgreSQL, OpenSearch, and identity management solutions.

- Document deployment procedures, troubleshooting guides, and operational runbooks.

- Collaborate with engineering, platform, and delivery teams to support customer and business requirements.





- Participate in automation and continuous improvement initiatives to enhance platform reliability and operational efficiency.

Required Skills (Must Have)

Containers & Orchestration

- Working experience with Docker and containerized applications.

- Hands-on experience with Kubernetes (EKS/AKS/GKE/OpenShift).

- Basic to intermediate experience with Helm chart deployments and configuration management.

Cloud Platforms

- Hands-on experience with at least one cloud platform (AWS, Azure, or GCP).

- Understanding of cloud networking, IAM, storage, load balancing, and managed services.

Kubernetes Platform Fundamentals

- Understanding of Kubernetes networking concepts, ingress, DNS, and TLS.

- Familiarity with StorageClasses, CSI drivers, and Persistent Volumes.

- Knowledge of RBAC, secrets management, and Kubernetes security fundamentals.

Infrastructure as Code

- Experience working with Terraform to provision and manage cloud resources.

CI/CD

- Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.

- Understanding of automated build and deployment practices.

Scripting & Operating Systems

- Basic proficiency in Python and Bash scripting.

- Linux administration and troubleshooting skills.

Source Control

- Experience with Git and modern source-control workflows.

Preferred Skills

- Exposure to multiple cloud platforms (AWS, Azure, GCP).

- Experience with OpenShift environments.

- Familiarity with monitoring tools such as Prometheus and Grafana.

- Exposure to service mesh technologies such as Istio or Linkerd.

- Understanding of DevSecOps practices, vulnerability management, and container security.

- Knowledge of Keycloak, OIDC, API gateways, or authentication platforms.

- Awareness of cloud cost optimization and FinOps principles.

- Experience supporting AI/ML or Generative AI workloads in cloud environments.

Expected Outcomes

- Successfully support cloud and Kubernetes platform operations.

- Participate in infrastructure deployment and automation initiatives.





- Resolve operational issues with guidance from senior engineers.

- Maintain reliable, secure, and scalable cloud environments.

- Build technical expertise and progress toward independently owning platform components and projects.

Mandate Skill:

Cloud Platform (any one of AWS / Azure / GCP)

Containers (Docker)

Kubernetes (EKS / AKS / GKE / OpenShift)

Helm

AIML &Gen; AI

Required Skills: Ingress, DNS, TLS

RBAC, Secrets, Workload Identity

CI/CD pipelines

Python & Bash

Git

Monitoring & Incident handling

Good to Have:

Multi-cloud (AWS/Azure/GCP)

OpenShift

Prometheus & Grafana

Istio / Linkerd

Image scanning & DevSecOps

Keycloak, OIDC/OAuth2, API gateway

Cost optimization

AI/ML & GenAI workloads

Terraform

StorageClass, CSI, PVC

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Chance Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 AI Engineer II (Bengaluru)
🏢 VARITE
📍 Bengaluru