דרושים » ניהול ביניים » Principal Software Engineer - Identity Security

Requirements:
7+ years of experience in product management, with at least 2 years working on SaaS products.
3+ years of experience working in the application security and/or cloud security vendor space.
Bachelor's or Master's degree in Computer Science, or another relevant engineering or technical field.
A proven track record of delivering customer acquisition growth and optimizing key product metrics throughout the product lifecycle.
Preferred Qualifications
A strong desire to take ownership of new technology products and a drive to design new, innovative, and disruptive solutions.
Inherent passion for cybersecurity and a problem-solving mindset that aligns with challenging the status quo.
Articulate and effective communication skills, both in writing and verbally, with the ability to convey complex ideas to diverse audiences.
Demonstrates a collaborative, 'can-do' approach and works well within a team to achieve shared objectives.

Requirements:
Your Experience:
5+ years of software backend engineering experience, including development of scalable server-side applications using Go, Python, or Java.
Practical, hands-on experience with AI, demonstrated by using AI tools in your day-to-day coding workflow, developing AI features for production environments, and/or building personal AI projects.
Strong conceptual understanding of the AI landscape, including various models, frameworks, and prompting techniques.
Demonstrated experience integrating Generative AI solutions into backend architectures.
Proficiency with a variety of database technologies.
Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).
Nice to have:
Experience with containerization and orchestration technologies such as Kubernetes and Docker.
Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.

Requirements:
Required Qualifications:
5+ years of hands-on experience in the cybersecurity research field.
Threat Research & OS Internals:Proven track record of applying deep cyber and analytical expertise to build robust security logic using endpoint telemetry. Supported by a profound understanding of Windows and Linux OS/kernel internals to engineer advanced defenses.
Reverse engineering experience:Demonstrated expertise in reverse engineering (e.g., IDA Pro, Ghidra) across multiple platforms to dissect malware and identify sophisticated attack vectors.
Programming & Native Code Comprehension:Strong proficiency in Python for data analysis and rapid prototyping, combined with the ability to comprehend native code (C, C++, or Rust) to effectively read and interpret agent code, low-level system interactions, and memory operations.
End-to-End Research Ownership:A scientific, data-driven approach to solving complex security challenges, with a proven track record of owning research initiatives from initial ideation through to the deployment of production-grade capabilities.
Communication & Mentorship:Excellent communication skills, with the ability to clearly articulate complex threat research to diverse audiences, mentor junior team members, and champion security initiatives across the organization.
Preferred Qualifications:
AI Agents & Frameworks:Hands-on experience developing and working with AI Agents and agentic workflows. Technical understanding of the architectural distinctions between an agent, a skill, and Model Context Protocol (MCP). Proven experience utilizing common agentic frameworks.
Data Scale & Telemetry Analysis:Proficiency in query languages (e.g., SQL) and big data platforms (e.g., GCP) to parse, manipulate, and query large-scale agent telemetry, extracting actionable security insights and uncovering threat patterns from massive datasets.

Requirements:
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What Were Looking for (Minimum Qualifications)

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain

3-5 years of Product Management experience with SaaS BI and analytics products

Proven experience delivering complex dashboarding, reporting, and semantic data capabilities spanning UI/UX as well as deep technical backend drivers

Proven experience working with multiple engineering teams across geographies within a global tech company

What Will Make You Stand Out (Preferred Qualifications)

Experience defining product requirements for AI-driven insights, natural language querying (NLQ), or automated data synthesis within security analytics platforms

Previous experience as a hands-on analyst in the security space or an adjacent domain, working with analytics and BI solutions to provide stakeholder KPI reporting

Prior product management experience at top industry security operations solutions

Requirements:
6+ years of hands-on backend software engineering experience, with demonstrated ownership of complex production systems.
Proven experience designing, building, and operating large-scale distributed systems in production.
Strong backend development skills in one or more modern languages such as TypeScript/Node.js, Go, Python, Java, or similar.
Strong experience with cloud-native architectures, preferably on GCP or AWS.
Hands-on experience with SQL and NoSQL databases and the ability to reason about data modeling, indexing, query performance, scalability, and operational trade-offs.
Experience using AI-assisted engineering tools as a meaningful part of the development workflow, combined with the engineering judgment to validate generated solutions and understand their trade-offs.
Excellent communication skills and the ability to influence technical decisions across teams and disciplines.
B.Sc. in Computer Science or an equivalent technical field, or equivalent practical / military experience.
Advantages:
Experience with Kubernetes, Docker, microservices, and event-driven architectures.
Experience with Infrastructure as Code, such as Terraform, Pulumi, or similar technologies.
Experience optimizing high-throughput or data-intensive production systems for performance and cost.
Experience building AI-powered features, agents, or agentic workflows.

Requirements:
C++ virtuoso - 8+ years of wielding endpoint development skills with mastery, tackling complex performance optimizations, multi-threaded/process challenges while maintaining up-to-speed with latest industry standards
Exceptional debugging skills, capable of unraveling complexities using a variety of tools on various platforms (Windows, MacOS, Linux)
Advantage
Chromium champion - Strong understanding of Chromium's internals and a proven track record of contributing to open-source projects
Familiarity with web browser fundamentals, including concepts like cookies, sandboxing, and profiles
Experience working with JavaScript and/or building Chrome extensions
Comprehension of security concepts such as authentication and authorization mechanisms, and experience with security protocols such as OAUTH, OIDC
Research pioneer - A passion for delving into low-level systems and OS APIs, translating your findings into groundbreaking security solutions
Leadership instinct - Proven ability to guide and inspire others, fostering a culture of shared ownership and technical excellence
Communication architect - Articulate your vision clearly and convincingly, collaborate effectively with diverse teams across functions.

Requirements:
Minimum Qualifications
6 years of experience designing and implementing public cloud architectures, with deep expertise across major cloud providers.
Experience architecting, deploying, and troubleshooting complex Kubernetes and container environments across multiple distributions, including managed Kubernetes services, node groups, autoscaling, operators, pod scheduling, and cluster lifecycle management.
Experience working within the Cloud-Native Application Protection Platform (CNAPP) space.
Experience with developer workflows and tools, including Git, CI/CD, Helm (for Outpost Lite), CloudFormation, and Terraform.
Extensive knowledge of networking fundamentals, cloud networking concepts, and Identity and Access Management (IAM) models.
Full professional fluency (written and verbal) in both English and Hebrew.
Willingness to undergo security clearance.
Solid knowledge of Attack Surface Management (ASM) methodologies, network reconnaissance, cloud security, and vulnerability assessments
Preferred Qualifications:
Background in security products or cloud security posture, specifically with experience in workload scanning or disk snapshot pipelines.
Experience supporting ISV or SaaS products deployed directly within customer cloud accounts.
Ability to communicate effectively with technical, business, and executive audiences, translating complex infrastructure issues into actionable customer guidance.

Requirements:
Your Experience:
10+ years of progressive experience in DevOps, SRE, Platform, or Infrastructure Engineering roles, with a significant portion at the principal/ tech leadership/ staff, or architectural level.
System Design from Scratch: A proven track record of designing, building, and deploying large-scale, highly available distributed systems and cloud platforms from the ground up.
AI-Powered Automation: Proven experience designing and integrating AI-driven systems, autonomous agents, and LLM-based tools into engineering workflows to optimize development processes, procedures, and overall organizational efficiency.
Communication: Exceptional interpersonal skills, capable of articulating complex architectural and AI workflow concepts clearly to both deeply technical peers and executive leadership.
Cloud & IaC Mastery: Expert-level proficiency with GCP (or equivalent major cloud providers) and deep architectural experience with Terraform.
Advanced Container Orchestration: Deep, internal knowledge of virtualized and containerized environments, with architectural-level expertise in scaling Kubernetes, extending it via custom operators, and automating complex operational logic.
Software Engineering Approach: Advanced coding and automation skills in Python or Go. You treat infrastructure as a software engineering discipline and can build custom tooling/services when off-the-shelf solutions fall short.
Proven Leadership: Demonstrated ability to lead complex, cross-team technical initiatives from conception to delivery, including setting technical roadmaps and driving consensus among stakeholders.
OS/Systems Expertise: Mastery of Linux systems, including kernel tuning, advanced networking, and performance troubleshooting.
Nice to Have:
Deep expertise in managing and scaling stateful workloads and distributed databases (e.g., Cassandra, ScyllaDB, MemSQL, or MySQL) in containerized environments.
Experience contributing to open-source infrastructure projects, or presenting at major tech conferences.

Requirements:
Your Experience:
8+ years of software engineering experience, including the development of scalable server-side application using GO or Python
Basic understanding and familiarity with the AI landscape, including various models, frameworks, and prompting techniques.
Demonstrated experience integrating Generative AI solutions into backend architectures.
Proficiency with a variety of database technologies.
Experience with distributed cloud products and major cloud platforms (e.g., GCP, AWS, Azure).
Nice to Have
Experience with containerization and orchestration technologies such as Kubernetes and Docker.
Proven ability to learn and adapt to new technologies and complex technical challenges in a fast-paced environment.

Requirements:
10+ years of hands-on experience securing enterprise organizations.
Proven track record in DFIR and threat hunting, including containing and remediating complex security incidents using dozens of tools.
Practical experience utilizing industry standard frameworks, such as MITRE ATT&CK, for threat modeling.
Coding proficiency, preferably Python.
Advanced expertise leveraging AI capabilities for cybersecurity.
Exceptional analytical and problem-solving skills with a demonstrated ability to resolve complex challenges.
Excellent written and verbal communication skills to effectively collaborate with cross-functional teams.
Preferred Qualifications
Experience with Agentic AI SOC and Security Orchestration, Automation, and Response (SOAR) platforms, preferably Cortex XSOAR/XSIAM.
Relevant security certifications, such as CISSP.