DevJobs

Senior DevOps On-Premise Engineer

Overview
Skills
  • Bash Bash ꞏ 4y
  • Python Python ꞏ 4y
  • Redis Redis
  • MongoDB MongoDB
  • Neo4j Neo4j
  • Linux Linux ꞏ 4y
  • Jenkins Jenkins ꞏ 4y
  • GitHub GitHub
  • Docker Docker ꞏ 4y
  • Kubernetes Kubernetes ꞏ 4y
  • Ansible Ansible ꞏ 4y
  • Networking Networking ꞏ 4y
  • Terraform Terraform
  • RabbitMQ RabbitMQ
  • MLFlow
  • Minio
  • Kserve
We are looking for an experienced Senior DevOps On-Premise Engineer who is passionate about software design, development, and deployment. The job involves writing production-grade modern DevOps solutions that will be shipped to on-premise environments.

Responsibilities:

  • Build and maintain the best solutions for our on-premise production platform.
  • Apply an Everything as Code (EaC) approach using technologies such as Ansible, Terraform, and Kubernetes.
  • Develop and maintain tools for automation, deployment, monitoring, and operations specifically tailored for on-premise 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 technologies.
  • Experience with the design, build, development, and maintenance of on-premise DevOps solutions.
  • Proven experience working with on-premise environments and solutions.
  • 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 on-premise, including Kubernetes on-premise.
  • Proven track record of delivering packages to remote on-premise sites.
  • Experience with air-gapped on-premise solutions is a significant advantage.
  • Experience with deploying and maintaining robust and automated pipelines.

Must-Have Skills:

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

Advantages:

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