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Senior Security Engineer, Security Incident Response Team (SIRT) - EMEA
GitLab
Israel Not specified Unknown Security Operations

Is remote?:

Yes
GitLab is the intelligent orchestration platform for DevSecOps trusted by more than 50 million registered users and many Fortune 100 companies, and it embeds AI as a core productivity multiplier across its culture and products. As a Senior Security Engineer on GitLab’s Security Incident Response Team (SIRT), you will defend GitLab.com in a 24/7 global on-call model, lead high-severity incidents end-to-end, and advance defense, detection, and response through automation and AI-assisted workflows. You will prepare executive communications, investigate complex cloud-based security incidents using DFIR methodologies, design detection capabilities with Signals Engineering, build automation, conduct RCAs, develop runbooks, and collaborate cross-functionally while mentoring others. Required qualifications include cloud-first incident response experience, GitLab usage in security/engineering, SIEM/EDR/detection engineering, AWS and GCP familiarity, MITRE ATT&CK knowledge, automation skills (Python/SOAR), and an interest in applying AI/ML to detection and response. The Security Incident Response Team is globally distributed (AMER, APAC, EMEA) and remote, with flexible benefits and a strong commitment to equality; GitLab offers Growth and Development funds, equity, parental leave, and an inclusive recruitment policy encouraging applicants from diverse backgrounds.
Director of Engineering, Security Factory
GitLab
Israel Not specified Unknown Sec Engineering

Is remote?:

No
Data Scientist
Zendesk
Israel Not specified Full time Unknown

Is remote?:

Yes
Unleash, now part of Zendesk, is hiring a Data Scientist in Tel Aviv on a hybrid model to build AI capabilities powering an agentic AI experience, including retrieval and ranking models for production systems. You’ll design, develop, and deploy data-driven solutions for the core AI search engine, owning the full lifecycle from data exploration to production rollout and real-time monitoring. The role emphasizes scalable, reliable deployments, quality optimization, and iterative improvement in a fast, high-velocity R&D environment. Requirements include 3–5 years of data science experience with production-model deployment, strong Python and software engineering practices, solid ML foundations from classical to deep learning, plus Docker/Kubernetes, Pandas, scikit-learn, PyTorch or TensorFlow, and cloud deployment on AWS, GCP, or Azure. Bonus skills include RAG pipelines, agentic workflows, vector databases, and familiarity with LangChain/LlamaIndex/CrewAI; Zendesk stresses an inclusive culture with hybrid work, equal opportunity, and accommodations, and notes AI-based screening may be used in applications.