דרושים » מחשבים ורשתות » Senior AWS Cloud DevOps Engineer

We are seeking an experienced and innovative Senior Platform Engineer to orchestrate the evolution of our cutting-edge GitOps platform. This role is ideal for an engineer with a strong software development background who is passionate about building scalable platforms and developer tools. As the driving force behind our platform innovation strategy, you will be responsible for creating robust self-service solutions, ensuring the stability of our CI/CD workflows, and spearheading large-scale projects in collaboration with stakeholders and engineering managers.
If you are passionate about applying your software engineering skills to solve complex infrastructure challenges, we want to hear from you.
What will your job look like
Architect, implement, and drive the strategic direction of our GitOps platform, leveraging ArgoCD and Helm on Amazon EKS.
Develop and maintain user-friendly, self-service tools and automation to empower our engineering teams and accelerate development cycles.
Own and enhance our GitLab CI pipelines, ensuring they are stable, performant, and scalable to meet the demands of a growing organization.
Apply software engineering best practices to design, develop, and maintain robust platform tools, services, and automation using Python, Bash, and Node.js.
Direct complex, cross-functional projects from conception to completion. Work closely with developers, engineering managers, and other stakeholders to gather requirements, drive adoption, and communicate progress.
Champion DevOps and GitOps best practices across the organization and mentor other team members.

Required Experienced Site Reliability Engineer
AI Engineering's ML-Platform team goal, is to deliver a modern infrastructure and solutions to enhance our Algorithm development life cycle and shorten our delivery times. We are an independent group, consisting of excellent and experienced engineers with diverse skills in algorithms, software, and infrastructure. We strive to implement a DevOps culture allowing our engineers to easily collaborate on large-scale products. We develop cross-company products that enable the research and deployment of state-of-the-art algorithms.
What will your job look like?
Were looking for a Site Reliability Engineer (SRE) to design, build, and operate the infrastructure powering machine learning development.
You will work on large-scale, distributed Kubernetes cluster, both on-prem and in the cloud, collaborating with IT, cloud engineering, and algorithmic teams.
Owning and evolving our infrastructure-as-code (IaC).
Driving reliability, monitoring, and observability best practices.
Pushing software and hardware integration to its limits to maximize system performance.
Automating and scaling ML workflows with a reliability-first mindset.
Partnering with researchers and developers to improve performance, resilience, and delivery speed.
Participating in incident response, root cause analysis, and postmortems to continuously raise the bar.
This role is ideal for someone who thrives on solving complex infrastructure challenges and enjoys collaborating across disciplines to deliver impact.