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Location: Remote · India
Department: Design
Experience: 5–10 yrs
The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.
Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.
5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
Policy and documentation: ability to establish best practices and document them clearly for team adoption
Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them
Experience architecting infrastructure for AI/ML workloads
Background in a fast-moving startup or scale-up environment
Hands-on experience with cost optimization across cloud and on-premises infrastructure
Opportunity to solve real healthcare problems with cutting-edge technology
Well-funded startup with a strong market presence
Work with advanced AI technology in a healthcare context
Collaborate with a talented team in a fast-paced environment
Competitive salary with equity options
Performance and quarterly bonuses
Professional development opportunities
Remote, full-time
Reports to: Head of Engineering
Compensation: Competitive, based on experience
From live job posts on CoreHRx, updated 9 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹25L a year (typical for IT Jobs in India, 816 posts).
The post asks for 5–10 Yrs experience.
It is a remote job.
It is a full time job.
Interview preparation · 60 questions
This page is for Indian job seekers preparing for cloud engineer, DevOps, backend and solutions architect roles that list AWS as a skill, whether you are a fresher with a first certification or an experienced engineer moving into a senior role. It covers 60 questions in three levels: core services and concepts, then design and configuration choices for one to three years of experience, and finally scenario, security, cost and troubleshooting questions asked in senior rounds. Read each answer, explain it aloud in your own words, and try the CLI commands in a practice account with a billing alert set.
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