🛠 Tech Stack

💼 About This Role

You'll design and enhance cloud infrastructure automation while ensuring strong governance and security across AWS multi-account environments. Your work will enable internal teams to build intelligent, efficient systems using AI/ML capabilities like Bedrock and SageMaker. This role combines platform engineering with AI-driven transformation at enterprise scale.

🎯 What You'll Do

• Design and evolve automation frameworks for cloud infrastructure deployments
• Implement governance, security, and compliance controls via automation
• Build and optimize AI services on AWS using Bedrock and SageMaker
• Develop monitoring systems to detect and resolve incidents proactively

📋 Requirements

• 4+ years professional experience including 2+ years with AWS multi-account environments
• Strong experience with AWS AI services such as Bedrock and SageMaker
• Proficiency in Python, Java, or Go with solid OOP and SOLID principles
• Hands-on experience with IaC, CI/CD pipelines, and cloud automation frameworks

✨ Nice to Have

• Experience with Docker and Kubernetes
• Cloud-native architectures
• AI security best practices in AWS

🎁 Benefits & Perks

• 🏠 Remote-first work with flexible environment
• 🤖 Advanced cloud & AI technologies at enterprise scale
• 📚 Learning and upskilling focus
• 🌍 Global-scale infrastructure exposure

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min