Saturday to Wednesday from 8 to 17
-
Health insurance
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11 - 50 employees
Technology and Innovation / VC / Accelerator
توضیحات بیشتر
key Requirements
5 years experience in similar position Jenkins - Intermediate
Docker - Intermediate
Kubernetes - Intermediate
Prometheus - Intermediate
Grafana - Intermediate
Ansible - Intermediate
GitLab - Intermediate
Job Description
About the Role:
We are building a next-generation orchestration platform that enables self-service access to GPU-powered environments for AI engineers, data scientists, and developers. Our platform spans cloud, on-prem, and virtualized environments, exposing infrastructure through APIs and intuitive dashboards.
As a Mid-level to Senior DevOps Engineer, you will play a key role in making this platform reliable, observable, and scalable while working in a highly dynamic, R&D-driven environment.
Responsibilities:
• Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment
• Manage and improve infrastructure as code (IaC) using tools like Terraform and Ansible
• Monitor and optimize application performance, availability, and scalability
• Collaborate with developers to streamline code integration and deployment processes
• Implement and maintain containerization and orchestration platforms (Docker, Kubernetes)
• Ensure security, compliance, and governance of cloud environments
• Troubleshoot issues across development, testing, and production environments
Requirements:
• Understanding of networking, security, and system administration
• 5+ years of experience as a DevOps Engineer or similar role
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI, Argo CD)
• Hands-on experience with Docker, Kubernetes (Cilium and Gateway API)
• Proficiency with Git, Linux, and scripting languages (Python/Go, Bash)
• Proficiency in working with databases
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack)
Nice to Have:
• Experience in SRE practices (SLIs/SLOs, incident response, postmortems)
• Familiarity with distributed systems and microservices architecture
• Exposure to AI/ML infrastructure or GPU-based workloads
Soft Skills & Mindset:
• Strong problem-solving ability and curiosity; comfortable working on ambiguous, unsolved challenges
• R&D mindset: you enjoy experimenting, prototyping, and iterating on new ideas
• Ability to think beyond tools and understand systems as a whole
• Ownership mentality: you take responsibility for reliability and outcomes, not just tasks
• Effective communication and collaboration across engineering teams
• Resilience under pressure, especially during incidents or system failures
We are building a next-generation orchestration platform that enables self-service access to GPU-powered environments for AI engineers, data scientists, and developers. Our platform spans cloud, on-prem, and virtualized environments, exposing infrastructure through APIs and intuitive dashboards.
As a Mid-level to Senior DevOps Engineer, you will play a key role in making this platform reliable, observable, and scalable while working in a highly dynamic, R&D-driven environment.
Responsibilities:
• Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment
• Manage and improve infrastructure as code (IaC) using tools like Terraform and Ansible
• Monitor and optimize application performance, availability, and scalability
• Collaborate with developers to streamline code integration and deployment processes
• Implement and maintain containerization and orchestration platforms (Docker, Kubernetes)
• Ensure security, compliance, and governance of cloud environments
• Troubleshoot issues across development, testing, and production environments
Requirements:
• Understanding of networking, security, and system administration
• 5+ years of experience as a DevOps Engineer or similar role
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI, Argo CD)
• Hands-on experience with Docker, Kubernetes (Cilium and Gateway API)
• Proficiency with Git, Linux, and scripting languages (Python/Go, Bash)
• Proficiency in working with databases
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack)
Nice to Have:
• Experience in SRE practices (SLIs/SLOs, incident response, postmortems)
• Familiarity with distributed systems and microservices architecture
• Exposure to AI/ML infrastructure or GPU-based workloads
Soft Skills & Mindset:
• Strong problem-solving ability and curiosity; comfortable working on ambiguous, unsolved challenges
• R&D mindset: you enjoy experimenting, prototyping, and iterating on new ideas
• Ability to think beyond tools and understand systems as a whole
• Ownership mentality: you take responsibility for reliability and outcomes, not just tasks
• Effective communication and collaboration across engineering teams
• Resilience under pressure, especially during incidents or system failures
Job Requirements
Gender
Men / Women
Software
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