Infra Engineering Lead - Cloud & AI Platform

Jobgether SRL; United States; Remote; USD 170,000 - 230,000; Full time

Benefits offered by this job

Remote work

Job summary

Jobgether SRL seeks an Infra Engineer Team Lead based in the United States to drive a next-generation cloud and AI resource management platform. You will own the infrastructure from self-hosted deployments to SaaS and AI infra, ensuring performance, scalability, and reliability across production environments.

You will lead multi-cloud efforts across AWS, GCP, and Azure, mentor engineers, and collaborate with product and R&D to enable rapid feature delivery while maintaining stability.

Qualifications

• 5+ years in infra engineering, platform engineering, or SRE.
• 2+ years of technical leadership, mentoring in production.
• Experience with two major clouds (AWS, GCP, or Azure).
• Strong knowledge of cloud networking and IAM (SSO, OIDC).

Responsibilities

• Own end-to-end infrastructure for self-hosted products, SaaS, and AI infra.
• Manage multi-cloud environments across AWS, GCP, and Azure with secure configurations.
• Lead engineering initiatives, set priorities, and mentor team members.
• Support customer deployments and ensure successful installations.
• Automate workflows to reduce toil and improve productivity.
• Strengthen infrastructure security and access controls.
• Drive continuous improvement for performance and reliability.

Skills

Team leadership

Cloud infrastructure

SRE practices

Kubernetes

Go

Security

Networking

IAM/SSO

English

Hebrew

Tools

AWS

GCP

Azure

Kubernetes

Helm

OIDC

Job description

Jobgether SRL seeks an Infra Engineer Team Lead based in the United States to drive a next-generation cloud and AI resource management platform. You will own the infrastructure from self-hosted deployments to SaaS and AI infra, ensuring performance, scalability, and reliability across production environments.

You will lead multi-cloud efforts across AWS, GCP, and Azure, mentor engineers, and collaborate with product and R&D to enable rapid feature delivery while maintaining stability.