Experience
3 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Cloud Platform Engineer
Job Type
ONSITE
Job Description
What youll do
We are looking for a Cloud Platform Engineer who can seamlessly manage operations and infrastructure provisioning within a complex, growing multi-cloud environment
Your primary responsibility will be building, scaling, and troubleshooting cloud infrastructure using modern GitOps practices
You will serve as a core operator for our platform, fulfilling infrastructure requests while actively writing automation to eliminate manual toil and enhance developer velocity
Furthermore, you will help lay the operational groundwork for emerging technologies, including hosting and integrating AI inferencing workloads
We need a hands-on builder with strong programming fundamentals and a deep understanding of cloud operations
Your primary responsibility will be building, scaling, and troubleshooting cloud infrastructure using modern GitOps practices
You will serve as a core operator for our platform, fulfilling infrastructure requests while actively writing automation to eliminate manual toil and enhance developer velocity
Furthermore, you will help lay the operational groundwork for emerging technologies, including hosting and integrating AI inferencing workloads
We need a hands-on builder with strong programming fundamentals and a deep understanding of cloud operations
This position is an individual contributor role reporting to the Director, Developer Platform Engineering
Responsibility
- Provision, modify, and manage cloud infrastructure across our multi-cloud environment (heavily focused on AWS) using Terraform
- Build and maintain CI/CD pipelines and GitOps workflows using GitHub Actions (or equivalent tooling)
- Manage and operate core platform technologies including EKS (Kubernetes), Argo CD, and observability tools
- Write automation scripts and CLI tooling using Python or Go to eliminate manual operational toil and streamline developer access
- Support the deployment and configuration of infrastructure required for AI inferencing and internal AI tooling
- Troubleshoot complex platform issues ranging from Kubernetes networking to cloud IAM permissions and pipeline bottlenecks
Job Designation
Hybrid: Employee divides their time between in-office and remote work
Access to an office location is required
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Access to an office location is required
(Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Basic
- A Computer Science degree or equivalent practical experience
- 3+ years of hands-on experience in Cloud Engineering, DevOps, or Platform roles
- Deep expertise in AWS core services, networking, and IAM architectures
- Advanced proficiency in Terraform (module creation, state management) and GitOps principles
- Strong hands-on experience configuring and maintaining GitHub Actions (or similar CI/CD platforms)
- Production experience operating Kubernetes (EKS) and deployment tools like Argo CD
- Solid programming capability in Python or Go for infrastructure automation and tooling
Preferred
- Experience operating within a multi-cloud ecosystem (AWS, Azure, GCP, etc)
- Familiarity with AI integration tooling (eg, LiteLLM) and provisioning infrastructure for AI/ML workloads
- Experience with secrets management (eg, HashiCorp Vault) and modern observability stacks
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.