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Are you passionate about innovation in cloud security and want to redefine how Security Operations Centers (SOCs) leverage both agent and agentless technologies for detection and response? Join our cutting-edge Security Research team and lead the development of next-generation cloud detection and response solutions. In this role, you will define detection use cases, analyze threat data, and create advanced security content to protect against evolving threats in cloud environments. Be part of an exceptional team of researchers and engineers dedicated to safeguarding our customers. This is your opportunity to dive into pioneering technologies that integrate cloud security with innovative detection methodologies in a world-leading cybersecurity company.
Your Impact
Conduct ongoing research to identify and develop new detection techniques for both agent-based and agentless cloud technologies
Stay ahead of Advanced Threats, attacker methodologies, and Tactics, Techniques, and Procedures (TTPs) to ensure our solutions remain proactive and effective against emerging threats
Simulate real-world attack scenarios in lab settings, performing in-depth analysis of adversarial behaviors and their implications for cloud security
Foster a collaborative atmosphere within an experienced, diverse, and supportive research team, driving forward new and innovative ideas in cloud detection and response.

This role is client-facing and requires the Principal Consultant to lead and produce deliverables based on reactive services client engagements. The Principal Consultant will work directly with multiple customers and key stakeholders (Admins, C-Suite, etc) to manage incident response engagements and provide guidance on longer term remediation.
Your Impact
Perform reactive incident response functions including but not limited to - host-based analysis functions through investigating Windows, Linux, and Mac OS X systems to identify Indicators of Compromise (IOCs)
Examine firewall, web, database, and other log sources to identify evidence of malicious activity
Investigate data breaches leveraging forensics tools including Encase, FTK, X-Ways, SIFT, Splunk, and custom Crypsis investigation tools to determine source of compromises and malicious activity that occurred in client environments
Manage incident response engagements to scope work, guide clients through forensic investigations, contain security incidents, and provide guidance on longer term remediation recommendations
Ability to perform travel requirements as needed to meet business demands (on average 20%)
Mentorship of team members in incident response and forensics best practices.

As a Senior Technical Research Auditor for Cortex Research, you will be honing and communicating high-quality, groundbreaking cybersecurity and threat intelligence research for our company XDR & XSIAM Cortex Research Department. This is a highly technical role, and a strong research/technical background is a key qualification. Your goal is to work closely with Cortex researchers and the Unit 42 publishing team to ensure our research is clearly communicated in well-produced research articles and other written, recorded and visual materials. You will also engage in communication with external vendors and industry partners. Constant collaboration with various research groups, Corporate Communications, Legal, and Content Marketing teams is essential to help raise the profile of our research and improve our brand visibility.
Your Impact
Work with researchers to ensure high-quality, accurate, well-written pieces that are ready for publication through our Threat Research Center, social media and other properties.
Assist researchers with understanding how to translate complex technical research into clear storytelling that resonates with media and other non-technical audiences.
Review and fact-check the data and claims in our threat research publications.
Weigh in on technical research topics, such as: threat intelligence, malware analysis, reverse engineering, threat hunting, threat actor attribution, cloud and identity related attacks, endpoint security, and more.
Make necessary corrections and/or coordinate with other teams to identify who can resolve outstanding issues in a piece.
Maintain awareness of when additional notification and coordination is necessary in order to responsibly disclose our findings, including vulnerabilities.
Work with the publishing team in our ongoing effort to improve our guidelines, processes and scheduling.

We are looking for an experienced Data Science Manager to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on leading the team that are developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models.

Role & Core Responsibilities
Lead, mentor, motivate and inspire a small team of Machine Learning Engineers & Data Scientists.
Own the model development and release process across all products and internal platforms, including both OptiX and .
Manage the cloud-hosted modelling environment.
Operationalize models as APIs working in real-time and batch environments.
Monitor production models, ensuring data quality and model performance.
Develop predictive machine learning models for classification, ranking, and personalization purposes, utilizing multi-modal data including images and text.
Leverage LLMs and other cutting-edge technologies to enhance product capabilities.
Collaborate closely with product and development teams to define and prepare new ML applications.
Analyse performance and continuously improve scoring processes for hosted models.

We are looking for a highly technical Senior Product Manager to join our rapidly growing Product team and lead a strategic initiative at the core of evolution.

In this mission-critical role, you will own the product vision, strategy, and roadmap for a new real-time data and infrastructure layer that underpins the entire platform. Youll work within an incubator-style innovation team, partnering closely with engineering, architecture, data, and GTM teams to build scalable, reliable, low-latency systems that enable advanced customer data processing and activation.

What Youll Do
Lead end-to-end product strategy and execution for next-generation real-time data infrastructure.
Own problem discovery, requirements definition, and roadmap development for complex backend and data engineering capabilities.
Work closely with engineering and architecture teams to design high-scale, distributed, event-driven systems.
Translate customer, market, and internal needs into clear technical requirements and KPIs.
Drive cross-functional alignment and ensure delivery of high-quality, high-performance infrastructure components.
Champion technical excellence, data quality, and system performance throughout the product development lifecycle.
Continuously analyze industry trends, emerging technologies, and competitive solutions in the CDP, data infrastructure, and real-time analytics domains.

Build, optimize, and improve Optimove's segmentation and data ingestion processes
Collaborate with the customer-facing teams in Optimove
Design and implement backend services using .NET, Node.js, Java following OOP principles
Design and build batch and streaming data pipelines using Apache Beam
Develop scalable, secure, and observable services using GCP tools such as BigTable, Dataflow
Collaborate closely with product and architecture teams to extend the promotion engine and related systems
Write clean, testable, and efficient code based on SOLID principles
Participate in code reviews, design sessions, and contribute to technical documentation

Microsoft Systems Administrator (5984) We are looking for an experienced and highly motivated Microsoft Systems Administrator to join the Infrastructure Team.

the Senior Data Engineer position is a central role in the Tech Org. The Data Engineering (DE) team is a Change Agent Team that plays a significant role in the ongoing (at advanced stages) migration of to cloud technologies. The ideal candidate is a senior data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, coordinating with the Architecture team, R&D teams, Data Scientists, and product managers to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data tools for various teams (e.g., onboarding teams) that assist them in building, testing, and optimizing the delivery of the product.
Explore and implement new data technologies to support data infrastructure.
Work closely with the core data science team to implement and maintain ML features and tools.

Shape the Future of Cybersecurity with Us Are you driven by deep curiosity, bold innovation, and the desire to transform cutting-edge AI research into real-world cybersecurity impact? Join our company, an established yet rapidly growing cybersecurity startup, where youll help build next-generation AI-powered security products from the ground up. Youll be part of a small, elite, cross-disciplinary team working closely with security researchers, R&D engineers, data engineers, and product leaders.
Here, youre not just joining a company, youre stepping into a place where you can envision, build, and deploy foundational AI technologies that protect organizations worldwide. You will have the rare opportunity to drive innovation end-to-end, shape our future technology, and create AI systems that make a real difference in defending against modern cyber threats.
This is a role for someone who wants to put their soul into their craft, someone hungry to learn fast, experiment boldly, and turn ambitious ideas into production-ready AI solutions.
What will you do:

* Drive innovation by combining deep security research with modern AI techniques to build impactful, customer-facing security capabilities.
* Build and refine intelligent generative AI agents that drive automated cybersecurity reasoning, investigation workflows, and threat analysis.
* Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end.
* Engineer and implement core parser and model components in C ++ and Python to seamlessly integrate into the company Endpoint Agent and platform infrastructure.
* Use our company's ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models.
* Serve as the cybersecurity expert within the data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions.
About Us:
we are a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 247 security experts. With a Partner First mindset, we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

We are a team of technophiles who hate latency. As a member of our team, you will need to:
Develop and maintain systems that can process complex requests within a few milliseconds.
Tackle advanced engineering challenges in multiple languages and environments.
Own every product that the team manages, from ideation and planning, all the way to production and monitoring.
Teach and learn. We love to inspire and be inspired and make sure that each team member has their place to grow and excel.
Work both autonomously and collaboratively with the team and other teams.

As a Staff Engineer, you will be the technical lead and driving force behind the groups most complex initiatives. You will work closely with engineers, tech leads, architects, and product managers to solve high-scale distributed systems challenges, improve performance, and design robust, future-proof systems.
This role is ideal for experienced software architects and senior developers who are passionate about system architecture, performance at scale, and leading cross-team engineering efforts without formal management duties.

Key Responsibilities
Act as the technical authority for large-scale backend systems within the Execution group.
Gain deep understanding of the Orchestration groups services, the campaign targeting flow, and how the product works as a whole, in order to make architectural decisions in the broader product context.
Champion the groups strategic adoption of AI and Vibe Coding practices, becoming a key enabler for increasing developer efficiency through the use of cutting-edge AI development tools.
Lead the design and implementation of distributed, high-throughput, low-latency services that support billions of message executions monthly.
Partner with Engineering Managers and Architects to shape the groups long-term technical vision and architecture roadmap.
Define and enforce engineering standards and best practices across services.
Conduct in-depth design and code reviews, mentoring other engineers and elevating technical excellence.
Proactively identify cross-cutting concerns and drive group-wide engineering initiatives (e.g., observability, resiliency, fault tolerance).
Analyze and improve system bottlenecks in data flow, message queuing, storage, and processing pipelines.
Take ownership of non-functional requirements such as reliability, scalability, maintainability, and security.
Collaborate with Product and Data Science teams to ensure engineering plans align with business priorities.

We are seeking a driven problem solver to join our Unit 42 MDR team.
Our team is responsible for customers internal security monitoring, threat hunting and incident response. As a Senior MDR, we will rely on you to manage a team of experts who detect and respond to cyber incidents facing customers internal business.
As a Senior, you will join a team of managers who overlook the Unit 42 MDR team to ensure premium delivery to our customers and also have a critical role in how the team works, but also be able to create new processes, methodologies and capabilities that the team requires.
Your Impact
Hire for and lead a team of MDR Analysts working globally, guide the team, create and improve processes, methodologies and capabilities that the team requires to work effectively
Lead a team that analyzes incidents from real customer environments to identify ongoing threats to customer environments
Provide critical feedback to the different product, research and engineering and threat hunting teams to help improve the products for the entire companys customer base
Work closely with Security Research, Threat Intelligence and Threat Hunting teams to remediate and detect new emerging threats.

We're seeking a skilled and experienced DevOps Engineer with AWS expertise to join our DevOps team.
In this key role, you will be focusing on managing our cloud infrastructure, on CI/CD solutions and on helping drive our automation and infrastructure initiatives forward.
Responsibilities
Manage multi-region cloud infrastructure (AWS) and Kubernetes clusters.
Manage high-availability infrastructure provisioning and scaling, disaster recovery and backup.
Manage CI/CD solutions for automated application and infrastructure deployments.
Monitor and ensure the reliability, scalability, and performance of systems and workflows.
Optimize cloud costs and resource utilization.
Write code necessary to improve our DevOps/monitoring infrastructure.