דרושים R&d Team Leader - Aws Serverless Architecture ב-Cyberark

In this role you will be using AWS serverless architecture, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.

We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

• Full-stack development – React/Python/AWS/Serverless/CDK
• Full E2E ownership – from requirements to production
• Gaining deep knowledge of our products and how our customers are using them
• Working closely with CyberArk’s UX experts to provide our customers with the best experience

We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

• Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience.
• BE - 5+ years of experience in Python / Go / Node / Ruby / Java / C# / C++ (Python is a definite advantage)
• FE - 3+ years of experience developing React applications - in-depth understanding of React principles
• At least two years of hands on experience in developing and deploying modular cloud-based systems on AWS
• Proactive, highly motivated individual with a high work ethic and goal-oriented approach
• Excellent communication and presentation skills
• Proven technical skills and self-learning ability, capable of thoroughly understanding the functional and technical aspects of a complex system
• Excellent design and analytical skills, problem solver / deep troubleshooting capabilities

• Experience with UX design
• Experience with CI/CD tools (Jenkins/Git/Artifactory)
• Security principles and techniques (secure web coding practices, threat modeling, OWASP, etc.)
• Solid understanding of security and networking implementation and best practices
• Experience with micro service/event-oriented design and development

As a Data Science Team Leader at CyberArk, you will lead a high-performing team developing AI/ML solutions that secure the digital world’s most sensitive assets. You’ll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, you’ll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. You’ll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across CyberArk’s identity security portfolio.

• Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
• Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
• Champion best practices in MLOps, data governance, explainability, and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

• 6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
• Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

• Familiarity with cybersecurity, identity security, or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
• Publications, patents, or open-source contributions in AI/ML.

CyberArk is actively seeking an accomplished and dynamic R&D Team Lead to Lead our platform for Data & AI. In this role, you will be responsible for several innovative SaaS focused services. You will have the responsibility of overseeing a group of skilled software engineers. Your role involves guiding them in the development of innovative solutions, fostering advancements in data processing, analysis, and AI by leveraging state-of-the-art serverless technologies on the AWS platform. As part of your role, you will be collaborating with security architects, product managers, and other development teams, collectively working towards the creation of sophisticated and secure platforms that adhere to the highest security standards.

We are seeking an energetic and versatile individual to join our team and contribute to the achievement of our objectives. In this capacity, you will provide leadership and direction to a team proficient in AWS serverless architecture, AWS CDK, and Python. This team is responsible for designing, developing, testing, securing, and deploying services throughout the entire lifecycle, from planning to production

• Overseeing a group of skilled engineers
• Producing valuable and qualitative content for our customers in a timely fashion
• Maintaining services in production environment
• Professional growth of the team members
• Recruiting and training new team members
• Working with different groups and focal points in the organization
• Defining improvement goals for the team and leading the team to achieve the goals
• Maintaining our culture
• Deep knowledge of our products and how customers use them
• Working hand-in-hand with Architects, Product Managers, Product Owners and the team to deliver features from requirements to production
• Passionate about code design, high-quality code and code reviews, optimizing, and challenging the status quo

What you need to succeed

• ​3 + years’ hands-on experience leading development of highly-scalable SaaS complex applications

• 5+ years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)

• 2+ years of experience with AWS cloud platform

• Experience with Agile, CI/CD based development
• Proactive, highly motivated individual with a high work ethic and goal-oriented approach
• Capable and courageous enough to deep dive into complex areas in the system, analyse them, suggest solutions, and make necessary changes
• Excellent communication and presentation skills
• Bachelor’s Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
• Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo.
• Proactive by nature; internal drive for excellence and improvement
• Good communication skills, fluent in English, good writing skills
• Autodidact, like to learn new things and share with the team

How will you stand out from the crowd:

• Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)

• Experience with AWS and server-less solutions

• Solid understanding of design patterns and best practices.

Key Responsibilities:

• MSP Strategy Execution with GSIs: Drive MSP-centric strategy within key GSI partners already delivering recurring services. Help elevate their MSP motions by embedding CyberArk into their managed service offerings, accelerating time-to-revenue.
• Cross-Functional Influence: Collaborate closely with the MSP overlay team, product marketing, field sales, distribution partners, and executive stakeholders to ensure a unified GSI strategy.
• Partner Co-Sell Alignment: Collaborate with GSI business units, services leadership, and CyberArk field sales teams to define joint success plans, sales plays, and service design models.
• Service Plan Ownership: Help GSIs develop and own the service layer—positioning CyberArk as the foundational component of their security services, especially in PAM, IGA, and machine identity.
• Pipeline and Forecasting: Track and manage GSI MSP pipeline, forecast growth opportunities, and work cross-functionally to remove barriers to execution.
• Enablement Leadership: Educate GSI partners on CyberArk’s MSP licensing, technical integrations, recurring services design, and sales positioning. Ensure alignment across regional delivery and sales functions within the GSIs.
• Market Insight & Evolution: Monitor industry trends, GSI service innovation, and competitor activity to inform strategic shifts and MSP program enhancements
• Willingness to travel regionally to engage directly with GSI stakeholders.

• 7+ years of experience in global or strategic MSP partner/channel roles, focused on GSIs or large MSSPs.
• Proven ability to drive partner-led services growth through recurring/MRR models, ideally within identity or cybersecurity domains.
• Deep understanding of GSI operating models, sales cycles, and service integration frameworks.
• Experience influencing across matrixed organizations and managing complex, multi-country partner relationships.
• Strong commercial acumen and ability to align business models and incentives between CyberArk and partner organizations.
• Excellent communication, presentation, and relationship management skills.

• We are proud to foster a diverse and inclusive workplace, where every individual's unique background, perspective, and contribution is celebrated. We believe that by embracing diversity, we drive innovation and create a stronger, more united team. Inclusion is at the heart of who we are and how we succeed. All qualified applicants will receive consideration for employment without regard to race, colour, age, religion, sex, sexual orientation, gender identity, or disability. Upon conditional offer of employment, candidates are required to complete a comprehensive background check as per our internal policy.
• CyberArk is an equal opportunities employer. If you would like any special arrangements made for your interview, please inform the EMEA Talent Acquisition team upon your application so that we may take steps to accommodate your needs.

The role will require managerial skills as well as a professional hands-on capability.

The role is part of the IT global Infrastructure management working tightly with IT peers and with different business stakeholders as Sales, support and R&D.

• Lead group of system experts and architects deploying, maintaining & supporting the corporate network and the DR and cloud infrastructure platforms.
• End point engineering - Leading the End Point management domain cross company for both Windows and MACs.
• Responsible for the teamwork plan and deliverables to be accomplished on time and quality.
• Leading IT infrastructure projects cross company, in addition mentoring other team member to lead projects in that domain.
• Work in tight collaboration with other IT peers in order to achieve IT objectives. this includes responsibility of deliverables which are part of other domains projects and activities.
• Responsible for infrastructure related vendors management and relationship
• Responsible for the team’s service level according to the IT support KPIs

• 5+ years of experience in a similar role in a hi-tech company.
• Ability to lead wide scale programs and complex projects
• In-depth knowledge and experience of IT infrastructure including Servers, Windows, OSX, Linux and Unix based Virtualization, Storage, Networking, Cloud technologies (AWS, Azure, GCP_, Mobility (MAM, MDM etc), Office 365 and modern workplace
• Well experience with JAMF, SCCM and Intune management (policies and deployments)
• Well experienced in end-point technologies and engineering.
• In-depth knowledge and experience of Microsoft and Linux IT architecture
• Information security oriented and strive for well architected infrastructure
• Have in-depth knowledge of IT Domain and innovative technologies
• Ability to handle multiple activities at the same time
• Strong interpersonal skills & able to develop and maintain effective and credible relationships with business leaders and supplier management
• A strong proactive and “can do” approach
• A team player and a strong people person

Responsibilities:

• Lead the end-to-end architecture, design, and implementation of a Secrets Management product.
• Manage a team of software engineers across the entire software development lifecycle, from design and development to deployment and monitoring.
• Ensure on-time delivery of high-quality solutions that meet defined scope and standards.
• Collaborate closely with internal stakeholders to align development activities with product priorities.
• Mentor and support the team to foster a culture of continuous growth and learning.
• Champion engineering best practices including code reviews, automated testing, and high-quality design.

• Bachelor’s degree in Computer Science, Software Engineering, or a related discipline.
• At least 4 years of experience leading software teams in a product-oriented environment.
• Passion for working with a diverse tech stack, including multiple development languages (e.g., Go, Ruby, Java).
• 5+ years of hands-on development experience in at least one of the following: Go, Ruby, Java, or Python.
• Solid experience with agile methodologies and CI/CD practices.
• Strong communication and interpersonal skills.
• Proven ability to mentor and lead team members with varying levels of expertise.
• Skilled at identifying risks, tracking progress, and resolving complex technical challenges.
• Highly self-motivated with a strong sense of ownership and accountability.

Preferred Qualifications

• Experience building solutions on AWS technologies (EKS, Aurora, IoT, EC2, IAM, Lambda, etc.).
• Background in developing enterprise-grade applications within a cloud environment.

As a Data Science Team Leader at CyberArk, you will lead a high-performing team developing AI/ML solutions that secure the digital world’s most sensitive assets. You’ll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, you’ll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. You’ll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across CyberArk’s identity security portfolio.

• Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
• Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
• Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
• Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
• Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
• Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
• Champion best practices in MLOps, data governance, explainability, and monitoring.
• Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

• 6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
• Master’s degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
• Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
• Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
• Strong technical communication skills and the ability to collaborate across cross-functional teams.
• Strategic mindset with the ability to connect AI research to business value and product opportunities.

• Familiarity with cybersecurity, identity security, or risk mitigation use cases.
• Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
• Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
• Publications, patents, or open-source contributions in AI/ML.