1 месяц назад
Production Operations Engineer (AI Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Production Operations Engineer (AI Cybersecurity): Owning production stability and incident processes for an AI-native autonomous SecOps platform with an accent on reliability standards, SLOs, error budgets, and cross-team operational execution. Focus on identifying production risks, driving postmortems and reliability improvements, and aligning R&D teams around operational priorities.
Location: Israel
Company
develops an AI-native autonomous SecOps platform for security teams, with a focus on security automation and production-scale operations.
What you will do
- Own the health and stability of production environments and proactively identify operational risks.
- Drive incident tracking, follow-ups, and completion of R&D postmortems.
- Partner with engineering teams to define, prioritize, and implement reliability improvements.
- Establish production-readiness standards, SLOs, and error budgets.
- Communicate operational risks, technical details, and business impact to R&D stakeholders and leadership.
Requirements
- 4+ years of experience in production operations, SRE, DevOps, or a related engineering role.
- Strong stakeholder management and communication skills, including the ability to influence without authority.
- Experience owning operational processes and holding teams accountable for commitments.
- Solid understanding of public cloud environments, including GCP, AWS, or Azure.
- Working knowledge of Docker, Kubernetes, and microservices architectures.
- Strong ownership, problem-solving drive, and a collaborative approach.
Culture & Benefits
- Fast-growing startup backed by Series D funding.
- Collaborative, empowering, and positive working environment.
- Opportunity to work on AI-driven cybersecurity and security automation.
- Equal opportunity workplace committed to diversity.
Hiring process
- Use of AI is encouraged for preparation and research.
- Live interviews and final assessments must reflect the candidate’s own voice, logic, and reasoning.
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