Senior Platform Engineer (DCS)

Tel Aviv · Full-time · Senior

About The Position

We are looking for an experienced Senior Platform Engineer who is passionate about software design, development, and deployment. The job involves writing production-grade modern DevOps/Platform solutions and will be part of building Dream Computing Services layer which will be deployed anywhere. 

Responsibilities

  • Develop, build and maintain the best services and solutions for our Dream Computing Services platform. 
  • Apply an Everything as Code (EaC) approach using technologies such as Python, Ansible, Terraform, and Kubernetes. 
  • Build and develop services that will be part of Dream Computing Services and will run on remote infrastructure. 
  • Develop and maintain tools for automation, deployment, monitoring, and operations specifically tailored for remote environments. 
  • Troubleshoot issues in our development, production, and test environments. 
  • Collaborate effectively with team members and communicate complex technical issues clearly. 

Skills

  • At least 4-5 years of experience with DevOps or Platform technologies. 
  • Experience with the design, build, development, and maintenance of DevOps services and solutions. 
  • Proven experience working with remote environments and solutions like on-premise or customer private cloud. 
  • Experience with deployment technologies and CI/CD technologies in AWS for building and packaging. 
  • Strong knowledge of networking and security principles, including developing and deploying encryption and signing services. 
  • Proficient coding capabilities in Python and Bash. 
  • Hands-on experience with developing infrastructure services that run remotely, including customized Kubernetes. 
  • Proven track record of delivering packages to remote customer sites. 
  • Experience with air-gapped on-premise solutions is a significant advantage. 
  • Experience with deploying and maintaining robust and automated services/pipelines. 


Must-Have Skills: 

  • Kubernetes, Python, Bash, Ansible, Linux, Networking, Docker. 

Advantages: 

  • Experience with AI components (training, inference, serving). 

Tech Stack: 

  • Kubernetes, Jenkins, Ansible, Terraform, Docker + Compose, MLFlow, Kserve, Minio, GitHub, Python, Bash, Linux, MongoDB, RabbitMQ, Redis, Neo4J. 

 

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