DevJobs

Senior DevOps Engineer

Overview
Skills
  • Go Go
  • Bash Bash
  • Python Python
  • ML ML
  • Redis Redis
  • Neo4j Neo4j
  • MongoDB MongoDB
  • GitHub GitHub
  • Jenkins Jenkins
  • AWS AWS
  • GCP GCP
  • Azure Azure
  • Kubernetes Kubernetes
  • Terraform Terraform
  • RabbitMQ RabbitMQ
  • Ansible Ansible
  • DevOps technologies ꞏ 4y
  • KubeFlow
  • SageMaker
  • AI components
  • introducing new technologies
  • IaC
  • EKS
  • ECS
  • Docker+Compose
  • deployment technologies
  • cloud & on-prem environments and solutions
  • CI\CD technologies
  • building systems from scratch
  • bootstrapping projects
  • ArgoCD
  • AI
  • endpoint products

Dream is a nation-level platform that combines AI and cybersecurity to protect critical assets from existing cyber attacks and future generative cyber threats.

Our disruptive approach to processing diverse cyber data turns it into clear and meaningful narratives. Using advanced machine learning capabilities to uncover hidden insights and bridge the gap between complex cyber activities.


With our advanced generative AI capabilities, we enable seamless automated network mapping, improving risk management and threat visibility for critical organizations at the national level.


We are looking for an experienced Senior DevOps Engineer to join our DevOps team who is passionate about software design, development and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to the cloud and on prem solutions.


Responsibilities:


  • Build the best solutions for our production platform.
  • Everything as a code approach (IaC): Run our infrastructure with a wide range of technologies including Ansible, Terraform, and Kubernetes
  • Build and maintain tools for automation, deployment, monitoring, and operations
  • Troubleshoot issues in our development, production, and test environments
  • Excellent communication and people skills
  • Work well in a team!


Skills:


  • 4-5 years experience with DevOps technologies.
  • Experience with design, build, development and maintenance of DevOps solutions.
  • Experience working on AI components (Training, inference, serving) and ML tools
  • Experience with one of the major cloud providers: AWS, GCP, Azure.
  • Experience Working cloud & on-prem environments and solutions.
  • Experienced with deployment technologies.
  • Experienced with CI\CD technologies.
  • Experience with bootstrapping projects, introducing new technologies and building systems from scratch.
  • Good coding capabilities (python\bash etc.)
  • Team Player!


Advantages:


  • Experience working on endpoint products (agent/sensors/collectors)


Tech stack:


  • AWS, Kubernetes, KubeFlow, EKS, ECS, SageMaker, Jenkins, IaC, GitHub, Terraform, Python, Ansible, Docker+Compose, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.
Dream Security