Cloud Infrastructure Engineer (AWS)

TL;DR

Cloud Infrastructure Engineer (AWS): Designing and maintaining secure multi-account cloud environments on AWS, powering data platforms, ML workloads, and product applications, with an accent on Infrastructure as Code, Kubernetes orchestration, and DevSecOps. Focus on building and operating production-grade cloud environments, ensuring security, scalability, and automation for ML and data teams.

Location: Onsite in Bengaluru or Gurugram

Company

hirify.global, an AI/Analytics firm and a McKinsey company, is focused on solving complex challenges using data and AI, fostering a culture of continuous learning and collaboration.

What you will do

• Design and maintain secure multi-account AWS environments (Dev, Staging, Prod) following security and governance best practices.
• Provision and manage infrastructure using Terraform and deploy Kubernetes (EKS) clusters for data and ML workloads.
• Implement autoscaling and cost optimization using tools such as Karpenter.
• Design and maintain CI/CD pipelines using GitHub Actions and implement GitOps practices using ArgoCD.
• Collaborate with InfoSec engineers to monitor, prioritize, and remediate vulnerabilities across cloud, containers, and pipelines.
• Support ML and data teams with scalable environments for model training, pipelines, and batch workloads.

Requirements

• 4+ years of experience in DevOps, Cloud Engineering, or Platform Engineering roles.
• Strong hands-on experience with AWS Cloud (IAM, VPC, EC2, EKS, S3, RDS, etc.).
• Production experience with Kubernetes and strong experience with Terraform for infrastructure provisioning.
• Experience building CI/CD pipelines using GitHub Actions or similar tools.
• Experience with ArgoCD (GitOps) and Argo Workflows.
• Strong understanding of cloud and container security best practices and experience managing multi-account AWS environments.
• Scripting skills (Bash, Python, or similar).

Nice to have

• Experience supporting ML/MLOps or data platforms.
• Experience with policy-as-code tools (OPA, Kyverno).
• Knowledge of container security and runtime security.
• AWS cost optimization experience.

Culture & Benefits

• Continuous learning and apprenticeship culture, backed by structured development programs and clear, actionable feedback.
• Opportunity to contribute innovative ideas and practical solutions from day one.
• Global community with colleagues across 65+ countries and over 100 nationalities.
• Competitive salary and a comprehensive benefits package to enable holistic well-being.