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As a Talent Acquisition Partner, you will:
Lead proactive sourcing activities for technology-oriented roles
Analyze hiring needs and translate them into precise sourcing profiles
Manage full-cycle recruitment
Identify, approach and engage passive candidates through personalized outreach campaigns
Build sourcing strategies using LinkedIn, GitHub, internal databases and creative market mapping
Build and maintain long-term talent pipelines for critical and hard-to-hire roles
Partner closely with recruiters and hiring managers to continuously improve sourcing quality
Track sourcing metrics and optimize funnel performance.

As an Automation Engineer, you will:
Operate an automated testing infrastructure
Develop functional code that tests against regression and data inconsistency, and reports about the quality of new features and releases
Develop automated tests using Python, Pytest, Selenium and other testing tools
Develop automated test cases in collaboration with cross-functional teams
Be working with Agile methodology.

As a Detection & Incident Response Team Lead, you will:
Lead detection, investigation and mitigation of cybersecurity incidents, including deep network traffic and data analysis
Develop and maintain scripts for data parsing, packet analysis and correlation across multiple data sources
Leverage open-source tools and frameworks to support threat attribution and research
Build and maintain integrations with APIs, threat-intel feeds and big-data platforms to enhance visibility and detection capabilities
Document research findings, detection methods and analysis techniques for technical and non-technical stakeholders.

As a Technical Support Engineer, you will:
Provide our clients support and technical solutions, both remotely and at the client sites abroad
Track open support tickets and ensure they are handled until resolution
Analyze and resolve operational and technical issues raised by the client
Perform production system and infrastructure upgrades.

As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

As a Full Stack Developer, you will:
Develop the next generation features of the main backend services of various Company products
Design and develop high-volume, low-latency and scalable product
Partner closely with product managers, project managers and architects to align technical execution with business goals
Own features from requirements through design, implementation, testing, deployment and production support
Write well-designed, testable (unit/integration/component testing), secured and efficient code.

As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

As a Security Researcher, you will:
Be a part of the OPSEC department which is in charge of research, design, development and enforcement of advanced OPSEC solutions
Be in charge of the operational security research of a cyber intelligence product
Conduct advanced analysis of operating system internals, including binary and architectural evaluation, security testing and exploit mitigation research
Define product requirements, alert mechanisms and working procedures.

As a QA Engineer, you will:
Lead technological projects, in system and quality aspects
Design detailed, comprehensive and well-structured test plans and test cases
Identify, document and manage bugs life cycle
Work closely with research, product, dev, DevOps and program managers to meet project timeline
It would be great if you also have:
Mobile (iOS/Android)
Kubernetes.

Want to make an instant impact?
Be a part of the top cyber research teams in the industry and make the world a better place!
As a Vulnerability Researcher, you will be:
Work with top-notch researchers using the latest technologies
Research low-level mechanisms, finding vulnerabilities and circumventing modern mitigation techniques
Our perks:
A competitive compensation package
Hybrid and flexible
Multiple career advancement opportunities
Incredible benefits.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do

Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

Backend developers shape and improve our microservices architecture daily to provide the leading mobile analytics solution. To do this, we use cutting-edge technologies such as Clojure, Go, Kafka, Redis, BigQuery, GraphQL, SQL and NoSQL databases, in addition to hosted solutions that AWS and GCP have to offer and more

What youll do
Own and develop products and features end-to-end - from design to production
Solve diverse, complex problems at a large scale
Collaborate with Product Managers and Software Engineers to deliver value to customers
Analyze and improve performance, scalability and stability of AppsFlyers products, environments and tools
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do
Build Client-Facing Features: Design and implement high-scale product features for premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do

Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.