What project we have for you

Our client is VC backed early stage startup, already working with more than 150 paying customers, HQ in New York City, R&D in Tel Aviv.

They’re reinventing the way companies recognize and reward their team members with personalized and joyful gifts.

Unlike gift cards that carry a message of ‘Hey team member, your worth $50 to the company’, or other generic gifts that don’t bring the desired motivational result, the solution lets your team members choose the reward they actually like through a fun and interactive digital experience. The best products and experiences from leading brands and retailers such as Amazon, Bestbuy, Birchbox, and Cloud9Living are offering each recipient a personalized collection of up to date and top rated gifts to choose from.

We are looking for a DevOps Engineer to join our infrastructure team. You’ll work on a modern, cloud-native stack supporting complex systems across AWS and GCP. In this role, you’ll focus on automation, scalability, observability, and security – helping us build and maintain a reliable, efficient, and secure infrastructure while leveraging AI tools to streamline operations

What you will do

We are looking for a DevOps Engineer to help us scale a multi-cloud, AI-driven platform that powers millions of gifting experiences worldwide. You’ll work with AWS, GCP, Kubernetes, Terraform, and CI/CD to build secure, automated, and highly available infrastructure—while leveraging AI tools to optimize and innovate our operations.

What You’ll Do

• Design and manage AWS/GCP infrastructure (networking, IAM, multi-account setups).
• Automate everything with Terraform, GitOps, and CI/CD (Jenkins, ArgoCD).
• Deploy and manage Kubernetes clusters and serverless applications
• Build observability solutions using Prometheus, Grafana, and AI-assisted insights.
• Implement security best practices and compliance automation.
• Use AI for scaling, development cycles, anomaly detection, and incident response.

What you need for this

• 6+ years in DevOps roles.
• Strong experience with AWS,
• Strong knowledge and experience in AWS Lambda
• Strong experience with Kubernetes, Terraform, and CI/CD pipelines.
• Experience with Prometheus, Grafana
• Deep understanding of security best practices and compliance
• Experience with using AI for scaling, development cycles, anomaly detection and incident response
• Curiosity and hands-on experience with AI automation in DevOps.