התפקיד במילים פשוטות
התפקיד כולל ניהול והובלה טכנית של צוות מהנדסי DevOps ותשתיות, לצד עבודה מעשית שוטפת. ביומיום תהיו אחראים על ארכיטקטורה ותפעול של תשתיות סביבות פיתוח ופרודקשן, ניהול מערכות מבוססות Kubernetes, והטמעת כלי DevOps וניטור. בנוסף, התפקיד כולל הובלת פתרון תקלות, הערכת טכנולוגיות חדשות ועבודה על תשתיות AI מקומיות מבוססות GPU.
- At least 5 years of hands-on experience in DevOps engineering
- At least 2 years of experience in managing, leading or mentoring engineers
- Proven ability to design, manage and maintain highly scalable production systems
- Hands-on production experience with Kubernetes, including deployment, operations, troubleshooting and platform management
- Strong experience with Terraform
- Experience managing on-prem GPU infrastructure for AI/ML environments
- Strong knowledge of networking fundamentals
- Experience defining technical strategy, architecture and infrastructure roadmaps
- Experience with highly available, large-scale or security-sensitive environments
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
מתאים למהנדסי DevOps בעלי לפחות 5 שנות ניסיון מעשי ולפחות שנתיים ניסיון בהובלה או חניכה של מהנדסים, עם שליטה עמוקה ב-Kubernetes, כלי IaC וסקריפטינג. פחות מתאים למי שמחפש תפקיד ניהולי בלבד ללא נגיעה טכנית ישירה, או לחסרי ניסיון מוכח במערכות פרודקשן מורכבות.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןNSO Group provides vetted government agencies with cutting-edge technological solutions designed to prevent and investigate terrorism and crime. We are constantly exploring new technologies to address the next challenge in this dynamic, ever-changing market. Want to join us in making a difference (and have a lot of fun along the way)? Apply now
As a DevOps Infrastructure Team Lead, you will:
• Lead, mentor and grow a team of DevOps and Infrastructure engineers, providing technical direction and fostering ownership and continuous improvement
• Own the core architecture, development and operation of the dev and production infrastructure and self-hosted AI environments, including on-premises GPU infrastructure
• Lead Kubernetes-based infrastructure end to end, including system design, development, deployment, operations, troubleshooting and lifecycle management
• Define infrastructure platform standards, best practices and engineering methodologies
• Own the DevOps toolchain, including DevOps tools and monitoring\logging platforms
• Partner closely with engineering teams to enable delivery and solve complex platform and infrastructure challenges
• Evaluate and introduce new technologies through POCs and technical assessments
• Drive incident resolution, root-cause analysis and continuous improvement of platforms and infrastructure services
If you have:
• At least 5 years of hands-on experience in DevOps engineering
• At least 2 years of experience in managing, leading or mentoring engineers
• Proven ability to design, manage and maintain highly scalable production systems
• Hands-on production experience with Kubernetes, including deployment, operations, troubleshooting and platform management
• Strong experience with Terraform, Ansible and Helm
• Prometheus, Grafana, and ELK or similar monitoring, observability and logging stacks
• Strong programming/scripting skills in Python, Go, Ruby, Java, PowerShell or Bash
• Experience with GitOps practices and tools such as Argo CD
• Strong technical leadership, problem-solving and communication skills
• A proactive, independent and hands-on approach, with a passion for learning and tackling complex challenges
It would be great if you also have:
• Experience managing on-prem GPU infrastructure for AI/ML environments
• Strong knowledge of networking fundamentals
• Experience defining technical strategy, architecture and infrastructure roadmaps
• Experience with highly available, large-scale or security-sensitive environments
Join NSO Group and make a difference!
https://www.nsogroup.com/job/devops-infrastructure-team-lead/
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- At least 5 years of hands-on experience in DevOps engineering, At least 2 years of experience in managing, leading or mentoring engineers, Proven ability to design, manage and maintain highly scalable production systems, Hands-on production experience with Kubernetes, including deployment, operations, troubleshooting and platform management, Strong experience with Terraform