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AWS Engineer / Architect

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Summary

Hands-on senior AWS engineer at Modality (We-Ankor group), an AWS cloud solutions provider in Petach Tikva. Day to day you operate customer cloud environments: handle tickets, monitor and optimize production, deliver infrastructure projects, automate with Python/Bash and Terraform/CloudFormation, and take part in an on-call rotation.

Modality Cloud - AWS Engineer

Cloud Infrastructure & Operations — Hands-On Role

About Us

Modality , part of the We-Ankor group , is a leading provider of AWS cloud solutions, dedicated to helping businesses transform and thrive in the digital age.

About the Job

We are looking for a hands-on, senior AWS engineer to own the day-to-day operation and delivery of customer cloud environments. This is an execution-first, individual-contributor role — you will be the one fixing things, building things, and keeping production running. The role includes on-call rotation for production incidents

Key Responsibilities

• Handle customer tickets: AWS administration, Linux/Windows servers, networking, storage, and security

• Monitor, troubleshoot, and optimize production environments end-to-end

• Implement cloud infrastructure projects independently, from design to handover

• Write scripts and IaC to automate operational tasks

• Participate in on-call rotation for urgent production incidents

• Document procedures and runbooks; grow into a technical leadership role over time

Requirements

• 5+ years hands-on AWS production experience

• Active AWS certification (Solutions Architect Associate minimum)

• Strong Linux and Windows server administration

• Solid networking: VPCs, routing, firewalls, VPN, DNS

• Security: IAM, encryption, hardening, compliance basics

• Scripting and IaC: Python/Bash + Terraform or CloudFormation

• Practical experience with AI tools

• High-level English — written and spoken

Advantage

• Storage and backup solutions (AWS Backup, Veeam, FSx, ONTAP)

• Experience with High Performance Computing (HPC), AI infrastructure, GPU clusters, or Slurm

• AI training and inference infrastructure experience.

• Active Directory and identity management

• Cloud pricing, architecture, and solution design experience

• Azure or GCP exposure

See also

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