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לפני 1 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were growing and looking to hire a Director of Data & AI who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments-without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
We are seeking a visionary Director of Visibility to lead our core technology engine. This is a highly unique role that demands both top-tier professional expertise in cybersecurity research and the ability to seamlessly integrate Data Science and AI in a precise, highly productive manner. We have ambitious visibility goals that require uncompromising accuracy. Your mission is to combine precise, in-depth professional understanding of Cyber-Physical Systems (CPS/XIoT) with the immense scale and capabilities of AI. You will lead a multidisciplinary group comprising Data Science, Network/Protocol Research, and Asset Classification teams to revolutionize how we discover, classify, and secure critical assets across industrial (OT) and healthcare (IoMT) environments.
Responsibilities
As a Director of Data & AI your impact will be:
Multidisciplinary Leadership: Manage, mentor, and synchronize three distinct teams (Data Science, Network Research, and Asset Classification), ensuring cross-functional synergy and unified product delivery.
Scaling Accuracy with AI: Architect our visibility solutions to achieve unparalleled precision. Blend deep professional domain knowledge with advanced ML to scale asset discovery without sacrificing the exactness required in critical infrastructure.
Feature Engineering & Parsing: Oversee the translation of obscure, undocumented industrial and medical protocols into actionable features for our AI models.
Cross-Department Collaboration: Work closely with various data groups, product management, and R&D teams to translate network visibility into actionable risk management, segmentation, and threat detection policies.
Advanced Data Fusion & Collection Strategy: Manage diverse collection techniques (passive, active, and integrations), and architect how to fuse information for every single device at the scale of AI-bridging applications, algorithms, LLMs, and beyond.
Requirements:
What you need to succeed in this role:
Experience: 7-10+ years of proven experience in network security, cybersecurity research, or data science, with a significant focus on complex networking environments.
Leadership: Demonstrated experience managing R&D, Research, or Data Science groups (e.g., Head of Research, Director of Data Science).
Technical Background: Strong engineering foundation with hands-on experience in reverse engineering, deep packet inspection (DPI), or "black-box" system analysis.
Data & AI Literacy: Deep understanding of the end-to-end Machine Learning lifecycle, data lineage, and the proven ability to leverage AI/ML to scale precise engineering solutions.
Domain Expertise: Familiarity with OT/ICS protocols (e.g., CIP, Modbus) or IoMT protocols (e.g., DICOM), and an understanding of CPS architectural constraints is a major advantage.
Mindset: A highly professional integrator who can speak the languages of data scientists, network engineers, and product managers to foster a collaborative, innovative, and high-performing environment.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were growing and looking to hire a Senior Manager, Software Engineering - xDome who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Company:
A global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose, and we want you to help us define the future of cybersecurity.
Our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures. We design and evolve a unified platform that serves as the technological backbone for all our products, delivering deep visibility across CPS environments, without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments.
About the Role:
As Senior Manager, Engineering, you will lead two core R&D teams behind Network Protection and Anomaly & Threat Detection for our flagship SaaS platform, xDome.
In this role, you will build and scale high-impact, distributed security systems while leading the design of production-grade agentic services (policy recommendations, threat triage, and guided response).
Responsibilities
As a Senior Manager, Engineering - xDome, your impact will be:
Team Leadership: Lead, mentor, and develop Team Leads and Senior Engineers into strong technical owners.
Technical Architecture: Own system coherence across stream processing, large-scale analytics, and cloud-native detection/enforcement engines.
Execution & Impact: Set high standards for quality, resilience, and security while delivering customer-facing features and AI-driven capabilities.
Cross-Functional Collaboration: Partner closely with Product, Security Research, and Platform teams to deliver a unified customer experience.
Requirements:
What you need to succeed in this role:
Engineering Leadership: 4+ years of experience leading multi-disciplinary R&D teams (managing managers/leads).
Deep Technical Background: 8+ years building scalable distributed backend or data platforms in production.
Domain Expertise: Experience in at least one: Network Security, Threat Detection & Response, Security Analytics, or Industrial/Medical protocols.
Cloud-Native Stack: Strong background with modern cloud architecture (Kubernetes, Kafka, Spark/ClickHouse, CI/CD).
AI-Assisted Development: Proficiency in utilizing AI development tools (e.g., Cursor, Claude, Copilot) to accelerate engineering workflows, code generation, and problem-solving.
Communication: Strong executive communication skills with the ability to bridge roadmap strategy and deep technical design.
Bonus Points (Nice to Have):
Hands-on experience building and operating production LLM applications, agentic workflows, or natural-language interfaces.
Experience with network enforcement integrations (Firewalls, NAC) or detection stacks (IDS, MITRE ATT&CK, SOAR).
Background in cybersecurity or critical infrastructure environments.
This position is open to all candidates.
 
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לפני 3 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are seeking an experienced and highly driven Director of Engineering to lead and scale our R&D team. This is a highly hands-on, deeply technical leadership role. You will be expected to actively contribute to codebases, lead by technical example, and ensure the high-quality delivery and scalability of our unified DataOps platform. This pivotal role requires a leader who can both deeply understand and solve complex technical challenges with code, while also inspiring and guiding a team to build innovative solutions. Reporting directly to the CTO, you will play a critical part in shaping our engineering culture, driving technical excellence, and fostering a collaborative environment that aligns closely with our product vision and business goals.
What You'll Do:
Provide Technical Leadership & Guidance: Offer deep technical leadership, actively participating in coding, architectural design, and complex problem-solving to ensure high standards of code quality, scalability, and system reliability.
Lead & Grow Engineering Teams: Lead, mentor, and grow our R&D engineering team, fostering a culture of technical excellence, hands-on problem-solving, and continuous improvement.
Drive Ownership & Accountability: Instill strong ownership, accountability, and a builder mindset within the engineering organization, empowering teams to execute with velocity and autonomy.
Solve Complex Challenges: Troubleshoot and resolve complex technical and organizational challenges to ensure smooth operations and delivery.
Collaborate Cross-Functionally: Collaborate closely with Product and other cross-functional teams to translate business requirements into robust technical solutions and align engineering efforts with company objectives.
Optimize Processes: Optimize engineering processes, methodologies, and tools to support rapid growth and evolving business needs.
Reduce Leadership Load: Strategically contribute to reducing the technical and operational load on current leadership, taking on key initiatives and areas of ownership.
Requirements:
What We're Looking For
We are seeking a true builder and active coder who can lead by technical example and significantly contribute to our engineering culture and output. We value a technical leader with an entrepreneurial spirit.
Must-Haves:
Experience: 7+ years in software development, with at least 3-5 years in an engineering leadership role (e.g., Director, Senior Manager, or Group Lead managing a team).
Hands-on Technical Expertise: Proven exceptional proficiency in core technologies like TypeScript, Node.js, React, Python and deep understanding of high-performance SQL/NoSQL database design and K8S.
Experience working with message queue technologies (e.g., Kafka, SQS, RabbitMQ) to build scalable and reliable data pipelines.
Startup Scaling Experience: Proven experience having scaled or built R&D teams in startup environments.
Adaptability & Accountability: Comfortable with ambiguity, quick execution, and high accountability in both leadership and coding capacities.
Strong Ownership & Leadership: Demonstrates strong ownership and leadership without needing external structure, both in managing teams and driving technical solutions through code.
Partner Mindset: An open communicator who actively gives and receives feedback, fostering a collaborative environment.
Nice-to-Haves:
Data Platform/Tools Experience: Previous experience building Data platforms or tools (e.g., ETL, Reverse ETL, Catalog, Observability).
Cloud Mastery (AWS): Mastery of cloud platforms, especially AWS, including extensive experience architecting solutions using a broad range of AWS services.
Soft Skills: Demonstrated humility and a strong hunger to build, not just to manage.
This position is open to all candidates.
 
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לפני 1 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
Were growing and looking to hire an Information Manager, Security Operations Engineering who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
About the Role:
As the Information Security Operations Manager, you will lead our front-line defense, monitoring, and incident response capabilities. You will manage a high-performing technical team responsible for protecting enterprise infrastructure, cloud environments, and emerging AI workloads.
This role requires a rare combination of deeply technical hands-on capability and sophisticated leadership. Beyond managing technical systems and engineering staff, you will serve as the core liaison between Security Operations (SecOps) and key business stakeholders-including software engineering, corporate legal, human resources, and executive leadership-to navigate complex incidents, manage risk, and foster a collaborative security culture.
Responsibilities:
As a Manager, Security Operations Engineering, Your impact will be:
Technical & Architecture Ownership:
Cloud Security Operations: Architect and operationalize security monitoring within multi-cloud environments (e.g., AWS, Azure, GCP), utilizing cloud-native security tools and cloud security posture management (CSPM) systems.
EDR & Endpoint Protection: Experienced in managing and optimizing next-generation Endpoint Detection & Response (EDR/XDR) tooling across enterprise servers and workstation fleets.
Network Security: Knowledge of perimeter defenses, micro-segmentation, web-application firewalls (WAF), secure access service edge (SASE), and overall corporate network security architectures.
AI Security Operations: Lead the operational monitoring and governance of enterprise AI/LLM integration, defending against emerging vectors such as prompt injection, data exfiltration through AI pipelines, and insecure API utilization.
ZTNA: Experience with deploying, maintaining, and troubleshooting zero trust network access (ZTNA) solutions.
Vulnerability Management: Oversees the continuous identification, prioritization, and remediation of security weaknesses across an organizations infrastructure.
Incident Response & Security Analysis:
Manage day-to-day security analysis, monitoring, and full incident response lifecycles.
Lead technical root-cause analysis investigations for complex security incidents and author polished post-mortem documentation for executive review.
Mature the SecOps playbook, expanding capability around proactive threat hunting, threat intelligence integration, and digital forensics.
Experience with SIEM (ex. Splunk) and Security Operations Center (SOC) monitoring and alerting using the latest technologies.
Team Leadership & Stakeholder Collaboration
דרישות:
Technical Experience:
Experience: 7+ years of experience in dedicated Security Operations or Incident Response environments, with 3+ years explicitly leading technical engineering or analyst teams.
EDR Expertise: Advanced production experience deploying and maintaining enterprise EDR solutions (e.g., CrowdStrike, SentinelOne, Microsoft Defender for Endpoint).
Cloud Infrastructure: Strong cloud security acumen with a track record of analyzing logs, VPC architectures, and complex IAM configurations.
Networking: Deep understanding of modern networking protocols, traffic analysis, zero-trust architectures, and network segmentation.
AI Awareness: Familiarity with the OWASP Top 10 for LLMs and methods for securing generative AI applications.
CISSP, CISM, GCIH, GCFA, CCSP, or equivalent technical certifications will be a big plus.
Leadership & Soft Skills:
Cross-Functional Diplomat: Proven ability to build strong cross-departmental relationships, translating highly technical risks into plain business terms for Legal, HR, and executives.
Crisis Management: Calm under pressure with a track record of managing high-severity incident responses while keeping non-technical business partners align המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a visionary who reports to the CEO, to serve as the focal point of our internal AI strategy and lay the groundwork for an AI-enabled future across our organization. In this newly created role, you will act as the primary change agent bridging business strategy, technology infrastructure, and human capital. Your mission is to transition the company into a structured, secure, and value-driven operation - driving targeted AI adoption specifically where it yields the highest impact to boost efficiency, achieve core business goals, and foster long-term growth.
Responsibilities
Authoring, shaping, and continuously updating the company's AI Transformation Strategy for internal operations, engineering enablement, knowledge management, and workforce productivity, aligned with business goals and operational excellence.
Process Optimization & Internal Efficiency: Mapping existing workflows across various departments (Marketing, Sales, HR, Delivery, R&D, Product, etc.) to identify bottlenecks.
Deploying recurring autonomous workflows (e.g., automated reporting, monitoring) using AI agents to streamline day-to-day operational work.
Architect and manage a centralized, machine-readable repository of enterprise knowledge- leveraging AI to continuously ingest, structure, and update company data to ensure it is instantly accessible and optimized for AI context engines, RAG (Retrieval-Augmented Generation) pipelines, and employee query systems.
Democratizing Development via AI-Assisted Development: Enabling business units to leverage AI-assisted development methodologies and platforms to build custom operational workflows.
Agents Platform: Building a company-wide layer for creating, managing, and sharing AI agents that integrate directly with internal enterprise systems to support operational execution.
Governance, Security, AI Cost Management (AI FinOps)& Economics:
Measuring adoption, usage, and the true cost of AI tools and workflows across all platforms to understand their impact and optimize organizational investment.
Establishing control mechanisms for "AI cost management" and AI FinOps - making techno-economic decisions (e.g., choosing between heavy models vs. specialized open-source models).
Specialized open-source models) to optimize compute costs.
Creating a balanced AI Acceptable Use Policy with the CISO and Legal that protects organizational data while acting as a secure foundation for rapid innovation.
דרישות:
Strategic Visionary: Experience in defining and executing a technological or operational strategy, with a proven ability to translate AI trends into a structured corporate roadmap.
Deep Technological Understanding of GenAI & Autonomous Systems:
Always up-to-date with the most recent AI technologies and capabilities, with a strong grasp of software architecture, Data engineering, and modern AI paradigms (LLMs, RAG, API integrations).
Deep understanding of how autonomous agents and AI reshape modern job functions, with the ability to set new standards for workforce assessment and collaboration between humans and machines.
Hybrid Tech & Business Background:
Significant experience in technological leadership, Internal Product Management, Platform Engineering, or digital transformation.
Experience overseeing the lifecycle of internal applications is an advantage, particularly with exposure to AI-assisted development platforms and modern AI generation tools from ideation to deployment.
Entrepreneurial Spirit & Matrix Leadership:
An "Enabler" by nature - someone who builds secure foundations for teams to innovate rapidly.
Exceptional communication skills - the ability to articulate complex concepts to R&D teams, Legal, and C-Level executives.
The ability to step into a "blank canvas" environment, establish methodologies, prove immediate business value, and subsequently build a team and budget around that success.
Proven ability to orchestrate company-wide transformatio המשרה מיועדת לנשים ולגברים כאחד.
 
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23/09/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Director Software Engineering- CWP (Cortex Cloud)
Job Summary
As a Director of Engineering at Cortex Cloud, you will lead an engineering group of approximately 25 engineers operating in one of our most complex and cross-functional domains, focused on building KSPM (Kubernetes Security Posture Management) and CNS (Cloud Network Security).
This highly technical group works closely with some of the largest companies in the US across various domains.
This role requires a strong blend of strategic leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures.
You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring your teams execute against the roadmap with both speed and engineering rigor.
Key Responsibilities:
Build, mentor, and lead high-performing backend engineering teams, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic enterprise customers-including some of the largest companies in the US-to lead technical deep dives, review architecture, and influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.
Requirements:
Demonstrated experience leading several backend teams within a large-scale software organization.
5+ years of hands-on software engineering experience with a strong systems-level foundation.
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end.
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure.
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives.
Preferred Qualifications
Strong deep understanding of security and Kubernetes (KSPM/CNS domain context).
Familiarity with large-scale data platforms, including BigQuery, MongoDB, and MySQL.
Professional experience in cybersecurity, data security, or threat intelligence.
Experience operating and maintaining highly distributed services at massive scale.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for an experienced Engineering Director to lead a Core Product engineering group in our Tel Aviv office. In this role, you will manage a group of Engineering Managers who each lead their own teams of engineers. You will be responsible for driving delivery, quality, and impact across one of our most critical product areas.
You will report to the Head of Engineering and partner closely with Product, Design, Data, and Go-to-Market leaders to shape strategy and ensure strong execution. This role requires a seasoned leader with deep people-management experience, strong product partnership, and the ability to lead through scale and complexity. The group also plays a key role in embedding AI capabilities into our core product experiences, making this an exciting opportunity to help shape how AI enhances workflows for millions of independent business owners.
A few of the things you will do:
Lead, coach, and support a group of 5 Engineering Managers overseeing multiple teams and dozens of engineers.
Develop and grow managers by helping them strengthen their leadership, decision-making, and team health.
Drive clarity, alignment, and focus across teams working on shared product goals and cross-team initiatives.
Partner closely with Product and Design leadership to shape roadmap, priorities, and execution plans.
Help define and deliver core product and Growth experiences, including initiatives that embed AI into key user workflows.
Translate company and product strategy into clear engineering direction and measurable outcomes.
Help teams plan effectively, make thoughtful tradeoffs, and deliver high-quality products in a predictable way.
Improve how teams collaborate across domains by refining planning, processes, and communication.
Lead cross-team initiatives and manage dependencies across multiple stakeholders.
Play a key role in hiring, org design, and scaling the engineering organization in Tel Aviv.
Requirements:
15+ years of experience in software engineering, with at least 2+ years managing managers and multi-team groups.
Experience leading product engineering teams at scale in a fast-paced environment.
Exceptional people-management and leadership skills, with a strong track record of developing engineering managers.
Strong execution and delivery skills across a broad and complex scope.
Strategic mindset and ability to connect engineering work to product and business impact.
Experience partnering closely with Product, Design, Data, and GTM teams on customer-facing products.
Comfortable working in AI-native environments and eager to contribute to AI-driven product development.
B2C product experience - a significant advantage.
Strong communication and collaboration skills with the ability to influence across teams and leadership levels.
Experience building products that incorporate AI/ML capabilities - a strong advantage.
This position is open to all candidates.
 
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23/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a strategic technical leader to drive the next phase of our engineering evolution. Reporting directly to the VP of R&D, you will carry two core mandates:
Manage one or more engineering teams with a focus on AI development.
Lead AI SDLC transformation efforts across the entire R&D organization.
This is a rare, high-leverage role at the intersection of people leadership, technical craft, and organizational transformation. If you want to define how an entire engineering organization works in the age of AI - and leave a lasting fingerprint on a fast-scaling SaaS platform - this role is for you.
What You'll Do:
Domain Ownership & People Management:
Assume operational leadership for critical R&D domains, including management of engineering teams focusing on AI.
Manage, coach, and grow Team Leads and senior engineers, building leadership depth across your domains.
Own team health, delivery velocity, and engineering quality for every team under your purview.
AI Developer Experience (AI DX):
Lead the transformation of our engineering processes by implementing AI-driven tools, frameworks, and workflows.
Significantly accelerate R&D throughput, optimize developer workflows, and foster an AI-first engineering culture - leading by example.
Drive adoption of agentic coding tools (e.g., Cursor, AI agents) across teams and measure their impact on productivity.
Technical Authority & Governance:
Challenge existing architectural paradigms and introduce innovative, out-of-the-box solutions to complex technical problems.
Mentor engineering teams and raise the bar for AI engineering quality and best practices across R&D.
Strategic Cross-Team Leadership:
Orchestrate complex, cross-functional initiatives that require deep technical alignment across disparate teams.
Manage project delivery, timelines, and execution to ensure seamless cross-functional results.
Architectural Vision:
Define and execute the long-term technical AI roadmap, ensuring high standards of scalability, reliability, observability and engineering excellence across the platform.
Requirements:
Engineering leadership experience: Extensive background as a Director of Engineering or equivalent senior technical leadership capacity (typically 8+ years of experience), overseeing multiple Team Leads and cultivating leadership talent in medium-to-large startup environments. Proven experience working in organizations with enterprise customers.
Delivery track record: Demonstrated success managing cross-functional engineering teams and delivering large-scale technical projects.
Deep GenAI expertise: Strong knowledge of LLMs, evals, RAG, AI harness/agent architectures, and production-grade AI systems.
AI DX hands-on experience: Proven track record of implementing AI agents and tooling to improve R&D productivity across multiple teams, with measurable outcomes and adoption.
Architectural vision: Strong track record of architectural decision-making, technical mentoring, and long-term roadmap planning.
Communication: Exceptional ability to bridge the gap between technical teams and business stakeholders. Fluent Hebrew and English.
Startup DNA: Ability to thrive in a fast-paced, hyper-growth environment where priorities shift and speed matters.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.

The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.

Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.

Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.

What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.
Requirements:
Bachelors degree in Computer Science, Engineering, or equivalent experience.
7+ years of professional software development experience, including at least 2 years in a team lead role.
Proven experience leading teams that build and operate large-scale, mission-critical distributed systems.
Strong hands-on Python, including async programming at scale - Must.
Strong understanding of distributed systems design, including concurrency, distributed state, idempotency, delivery semantics and performance optimization.
Solid grasp of resilience patterns such as retries, backpressure, rate limiting, timeouts, resumable workflows and failure recovery.
Hands-on experience with event streaming and queueing systems such as Kafka and SQS.
Hands-on experience with Redis and with relational databases such as Postgres - Advantage.
Deep understanding of cloud-native architectures and cloud provider APIs, AWS in particular, including compute, storage, IAM and related services.
Excellent communication and collaboration skills, with the ability to align engineers, product managers and stakeholders.
Experience mentoring engineers and guiding technical growth.
Comfortable balancing hands-on technical work with people and project leadership responsibilities.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8812709
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.
Requirements:
3-4 years of experience managing software engineering teams within a large-scale organization.
5+ years of hands-on software engineering experience with a strong systems-level foundation.
Proven ability to plan, execute, and deliver complex roadmaps with high predictability, owning distributed cloud products end-to-end.
Demonstrated experience designing and operating large-scale cloud architectures on platforms such as GCP, AWS, or Azure.
Strong collaboration skills with a track record of aligning cross-disciplinary teams around shared objectives.
Preferred Qualifications
Experience with programming languages such as Go and Python.
Familiarity with large-scale data platforms, including BigQuery, MongoDB, and MySQL.
Professional experience in cybersecurity, data security, or threat intelligence.
Experience operating and maintaining highly distributed services at massive scale.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8830495
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
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v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Machine Learning Engineering Manager, you will lead a team focused on the foundational ML & Data layers to power the ranking & recommendation systems in scope. You will drive the development of robust data & ML pipelines at scale, lead the implementation of the tools for ML scientists to test and productionize advanced ML RecSys solutions.

As a technical manager of Machine Learning Engineers and Data engineers, you should be passionate about technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML and platforms roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.



Key Job Responsibilities and Duties:

Lead and develop a high-performing team, fostering individual growth and collaboration.

Manage and mentor ML engineers and Data engineers, ensuring their professional development and effectiveness.

Develop scalable ML infrastructure and pipelines for efficient data processing and evaluations deployment.

Evaluate architecture solutions based on cost, business needs, and emerging technologies.

Collaborate closely with software engineers to ensure seamless deployment and model inference.

Monitor application health, set and track relevant metrics, and implement effective maintenance strategies.

Collaborate with stakeholders to translate business requirements into viable ML solutions.

Evaluate and integrate new ML technologies to enhance productivity and performance.
Requirements:
3+ years leading an ML engineering team of a minimum of 4 people in a fast-paced production environment.

Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

Masters degree, PhD or equivalent experience in a quantitative field (e.g. Computer Science, Engineering Mathematics, Artificial Intelligence, Physics, etc.).

Strong knowledge in areas like e.g. Recommender Systems, Deep Learning, Information Retrieval, Causal Inference, scaling ML models, etc.

Experience designing and executing end-to-end solutions for deploying different ML models.

Experience with cloud frameworks like AWS sagemaker for training, evaluation and serving models using TensorFlow, PyTorch, or scikit-learn.

Experience with big data processing frameworks such, Pyspark, Apache Flink, Snowflake or similar frameworks.

Demonstrable experience with MySQL, Cassandra, DynamoDB or similar relational/NoSQL database systems.

Deep understanding of machine learning algorithms, statistical models, and data structures.

Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

Excellent English communication skills, both written and verbal.

Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8809571
סגור
שירות זה פתוח ללקוחות VIP בלבד