Senior DevOps Engineer (AWS)

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.