 
						Platform Engineer
1 week ago
About Us
is building the future of intelligent cloud infrastructure—autonomous, secure, and GPU-optimized by design. We are on a mission to redefine how cloud, AI, and GPU-native workloads are built, deployed, and scaled—across private, hybrid, and sovereign environments. Our next-gen platform powers secure AI workloads, real-time inferencing, and composable services for enterprises, SaaS companies, and edge industries.
Role Overview
We are seeking an experienced Platform Engineer to design, build, and maintain a scalable internal developer platform that automates infrastructure, CI/CD pipelines, and chaos testing environments on Kubernetes. The ideal candidate will have a strong background in cloud-native technologies, software automation, and developer tooling. You will enable development teams to deploy high-quality software rapidly and reliably by providing robust self-service platforms integrated with resilience testing and validation capabilities.
Key Responsibilities
- Automate Infrastructure provisioning
 ,
 Operating System
 Lifecycle Management and operations
- Automate
 Platform provisioning and operations
 , lifecycle management for kubernetes platform and auxilary components
- Design, implement, and maintain a scalable internal developer platform supporting Kubernetes-based deployments and chaos engineering practices.
- Build and manage
 robust CI/CD pipelines
that automate software building, deployment, and validation workflows, incorporating
  chaos testing and other reliability validations
.
- Develop and maintain core software libraries, APIs, and tooling to enable developers to write and run automated test cases efficiently.
- Build and work with Infrastructure as Code (IaC) tools
for infrastructure and platform components.
- Monitor and improve platform health, availability, and developer experience
through observability and feedback loops.
- Own
  platform documentation
, training materials, and onboarding processes for developer teams.
- Stay current with emerging cloud-native technologies, best practices in
  chaos engineering
, and
  automation frameworks
to continuously enhance the platform.
Required Qualifications
- Bachelor's or Master's degree in Computer Science
 , Engineering, or related field.
- 5+ years of experience
 in SRE, Platform, or Systems Engineering roles.
- Proven experience with
 Kubernetes and container orchestration
platforms.
- Strong expertise in building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, ArgoCD, or similar technologies.
- Hands-on experience with chaos engineering practices and tools (e.g., Chaos Mesh, LitmusChaos, Gremlin).
- Proficiency in programming/scripting languages such as Go, Python, or JavaScript, especially for developing test libraries and automation scripts.
- Solid understanding of
  cloud infrastructure, networking, and security
in public cloud environments (AWS, GCP, Azure).
- Proficiency in Building components to enable Infrastructure as Code
tools such as Terraform, Helm, or Ansible.
- Familiarity with
  security frameworks and implementation
  of
  security controls
  across infrastructure layers.
- Good knowledge of monitoring, logging, and alerting frameworks for production environments.
- Strong problem-solving skills and ability to collaborate across multiple teams.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience working with
 iPXE
 and relavant environments
- Familiarity with microservices architecture and service mesh technologies.
- Knowledge of software testing frameworks and quality engineering principles.
- Experience contributing to
 open-source projects
or developer communities.
- Experience with
  multi-tenant
  storage platforms and data lifecycle management.
- Deep knowledge of SRE principles, including error budgets, toil reduction, and resilience engineering.
- Exposure to
  Zero Trust architecture
  , service mesh (e.g., Istio), and API security practices.
- Contributions to open-source storage or cloud-native projects are a strong plus.
What We Offer
- High ownership in a deeply technical, AI-native cloud startup
- Opportunity to define and ship cutting-edge infrastructure at global scale
- Competitive salary + ESOPs + performance incentives
- Flexible work culture, top-tier hardware, and a high-ownership team
- Backed by top investors and led by industry veterans from AT&T, Jio, and Google Cloud
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