Security Engineer jobs in Ramat Gan

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering penetration testing, red teaming, cloud security, and ICS/OT (SCADA) security. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of penetration testing, red teaming, and cloud security to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Enterprise Red Teaming, Web Application Security, Cloud Redteaming, ICS/OT (SCADA): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in penetration testing, red teaming, cloud security, or ICS/OT (SCADA) security, with deep expertise in at least one of them • Working knowledge across all domains of the team, including ICS/OT protocols (Modbus, DNP3, S7comm, OPC UA) and PLC and SCADA architectures, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: penetration testing, red teaming, and cloud security, including common attack paths, tooling, and how their techniques appear in real intrusions • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • OSEP, GCPN, GIAC GICSP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Ox Security secures the AI-driven SDLC from prompt to production. We eliminate critical, real-time risks from AI code generation through cloud runtime by doing what conventional tools can’t: unifying development and cloud context to stop vulnerabilities right at the source. At OX, we’re building the future of cybersecurity for the AI era. If you’re looking to work on disruptive technology with an amazing team, you belong here. We’re growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products (VIBESEC). This is a high-impact, cross-functional role where you’ll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain. If you’re highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, we’d love to meet you. Responsibilities What You’ll Be Doing • Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain. • Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions. • Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects. • Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations. • Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment. Requirements What We’re Looking For • 2+ years of experience in leading software development teams. • 5+ years of hands-on experience in backend development using high-level programming languages. • Strong ownership (accountability), high independence, and ability to manage multiple stakeholders. • Proven ability to guide technical decisions and solutions for complex systems. Nice to Have: • Proven experience with microservices architecture. • Background in cybersecurity / Endpoint Agent development. • experience delivering customer-value-driven products in fast-paced startup environments.

SUMMARY: We’re looking for a Senior Cloud Security Engineer to own the security of a large-scale data platform that processes billions of events for thousands of customers, where privacy is a core product commitment. You’ll own cloud security end to end, building the guardrails, automation and controls that make the secure path the default for every engineer. You’ll work closely with the infrastructure team who own the platform, and see your decisions go straight to production. RESPONSIBILITIES: • Own the security posture of our GCP and Kubernetes environments: IAM, network segmentation, workload hardening, and data access to BigQuery, Bigtable and other data stores, detecting and fixing cloud misconfigurations continuously and automating remediation wherever possible • Build secure-by-default foundations: hardened base images, secure Kubernetes configurations, and policy-as-code guardrails for Kubernetes and Terraform • Partner with engineering to embed security into CI/CD, with automated fixes and alerts instead of manual checklists • Own secrets and key management end to end, including rollout, rotation and access policy • Drive vulnerability management from discovery to fix, prioritizing by real exposure • Review new services and designs with practical, lightweight threat modeling • Lead security incidents from containment to post-mortem • Serve as the go-to security expert across R&D, mentoring engineers and helping teams adopt AI services safely REQUIREMENTS: • 6+ years in security, infrastructure, DevOps, or SRE, including 3+ years owning cloud security in production • Deep hands-on experience securing a major public cloud. We run on GCP; strong AWS or Azure engineers ramp quickly here. • Production Kubernetes security: RBAC, network policies, admission control, workload hardening • Terraform (or similar) plus Python or Go. You’ve built security automation, not just configured off-the-shelf tools. • Sound judgment on risk: you know when to block, when to guide, and when to accept AI FLUENCY & ENGINEERING EXCELLENCE: • Uses AI to scale security work in practice, e.g. LLM-assisted triage, generating and testing policy-as-code, or automating design reviews • Familiar with the security risks of LLM APIs and AI services in production, or eager to build that expertise NICE TO HAVE: • Application security or DevSecOps experience • Experience securing data platforms and enforcing data access governance • A background in DevOps, SRE or Platform engineering before moving into security WHY JOIN PLACER.AI? • Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary • Excellent benefits • Hybrid NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai's Human Resources Department to make the need for an accommodation known.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Security Engineering & Operations Team Lead Overview Mastercard Dynamic Yield is seeking an experienced Security Engineering & Operations Team Lead to lead the implementation and operation of security capabilities across our products, cloud platforms, software supply chain, and AI-enabled systems. This role combines our existing DevSecOps responsibilities with broader security engineering, cloud and application security, AI security, and security operations. You’ll lead a team responsible for embedding security into the engineering lifecycle, automating preventive and detective controls, strengthening our security posture, and supporting technical incident response. Working closely with Corporate Security, Product Security, Engineering, and DevOps, you’ll translate security requirements into scalable technical solutions that enable secure innovation and business growth. *Role* Lead a team of security engineers responsible for DevSecOps, security engineering, and security operations across production and engineering environments. Design, implement, and operate security controls across AWS, Kubernetes, applications, CI/CD pipelines, software dependencies, and AI-enabled systems. Drive application and software supply chain security, including vulnerability management, security scanning, secrets protection, and artifact integrity. Strengthen cloud security, identity and access management, data protection, network security, and runtime protection capabilities. Develop and operationalize AI security guardrails, monitoring, and secure integration patterns in partnership with Corporate Security. Lead or support security incident response, threat detection, investigation, containment, and recovery. Partner with Corporate Security, Product Security, and engineering teams on security architecture, threat modeling, risk remediation, and technical security assessments. Automate security controls and continuously improve security capabilities, operational effectiveness, and compliance evidence. Mentor and coach team members, fostering technical excellence, ownership, and professional growth. *Optimal Skills for Success* - At least 4 years of experience in a DevOps, DevSecOps, security engineering, or security operations leadership role, with a strong focus on production systems. - A degree in Computer Science or a related discipline, relevant military experience, or an equivalent technical background. - Proven experience securing and operating production environments on AWS, including cloud-native infrastructure and Kubernetes. - Strong understanding of application security, secure SDLC practices, software supply chain security, and vulnerability management. - Proficiency in one or more programming languages, such as Go, JavaScript, TypeScript, or Python, with experience automating security capabilities. - Experience with CI/CD platforms such as GitHub Actions, infrastructure as code such as Terraform or CloudFormation, and security tooling integration. - Familiarity with security monitoring, detection and response, incident management, and observability tools such as Prometheus and Grafana. - Understanding of identity and access management, encryption, secrets management, network security, and cloud security controls. - Ability to collaborate effectively with Corporate Security, Product Security, Engineering, DevOps, and other cross-functional teams. - Demonstrated leadership, project ownership, prioritization, and the ability to translate security requirements into practical, scalable engineering solutions. Join us at Mastercard Dynamic Yield to lead the evolution of our security engineering and operations capabilities, protect our products and infrastructure, and enable secure innovation across cloud, software, and AI. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.