4 дня назад
DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI) (AWS/Kubernetes/Terraform): Building and maintaining multi-region cloud infrastructure, CI/CD pipelines, observability systems, and internal AI agents with an accent on infrastructure as code, security, high availability, and enterprise-grade reliability. Focus on designing AWS networking and IAM, implementing policy-driven infrastructure delivery, developing self-service platform capabilities, and troubleshooting production incidents during on-call rotations.
Location: Israel
Company
provides an AI-native workforce orchestration platform for enterprises, integrating workforce agents with collaboration tools and major HCM systems.
What you will do
- Design and evolve multi-region AWS cloud architecture, including networking, interconnects, IAM, and high-availability topology.
- Build and own CI/CD pipelines for Terraform and infrastructure changes, including policy guardrails, drift detection, testing, and progressive rollouts.
- Develop self-service platform capabilities and paved paths for engineering teams.
- Strengthen observability across metrics, logs, traces, and alerting.
- Troubleshoot production incidents and participate in on-call rotations.
- Design and develop internal AI agents that improve R&D productivity while maintaining security.
Requirements
- At least 5 years of experience in DevOps or related roles, with exposure to cloud infrastructure and Kubernetes.
- Working knowledge of AWS, GCP, or Azure; experience with Docker and Kubernetes.
- Experience with CI/CD and GitHub or a similar platform.
- Hands-on experience with infrastructure as code, such as Terraform or Ansible.
- Experience developing internal agents, such as developer or DevOps agents.
- Strong troubleshooting, problem-solving, communication, and cross-functional collaboration skills; English proficiency required.
Culture & Benefits
- Work as part of a small and agile DevOps team.
- Support production workloads for enterprise customers with demanding SLA expectations.
- Use Kubernetes on AWS, Terraform, GitHub, and GitHub Actions.
- Participate in on-call shifts to maintain system health and stability.
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