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we are looking for a talented and Senior Data Engineer to join our data group.
The team is responsible for processing and transforming data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Designing and implementing data platform
Transforming, modeling, and serving all medical data.
Utilize data best practices, to improve the product and allow data-driven decision-making.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in the data field.

We are seeking an R&D Lead to lead the development for Agentic Commerce, a brand new product. The product focuses on owning the visual and semantic layer that AI agents rely on to understand, rank, and present products. We are a small, fast-moving, and highly independent team with full end-to-end ownership. The opportunity ahead is large: the front door of commerce is shifting from websites to AI agents, and merchants must adapt to be discovered, selected, and converted inside agent-driven experiences.
Responsibilities
Lead and be accountable for all development efforts, with a co-founder / CTO-level mindset
Co-lead the pod alongside the GM as a true counterpart
Build a deep understanding of how AI agents consume product data, media, and signals, and how merchants win selection and conversion in this new paradigm
Starting as a solo developer, you will be responsible for designing and shipping an AI-native product, growing a team when needed
Leverage platform to get to market quickly, building only what meaningfully advances learning and traction
Continuously adjust technical direction as agent behaviors, protocols, and market assumptions evolve

Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using diverse infra and multi-stage pipelines with intricate data structures and advanced queries, and complex BI.

A bit about our infrastructure. Our main databases are Snowflake, Iceberg on AWS, and Trino. Spark on EMR processes the huge influx of data. Airflow does most of the ETL.

The data we deliver drives insights both for internal and external customers. Our internal customers use it routinely for decision-making across the organization, such enhancing our product offerings.

What Youll Do
Build, maintain, and optimize data infrastructure.
Contribute to the evolution of our AWS-based infrastructure.
Work with database technologies - Snowflake, Iceberg, Trino, Athena, and Glue.
Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS.
Provide AI tools to ease data access for our customers.
Integrate external tools such as for anomaly detection or data sources ingestion.
Use AI to accelerate your development.
Assures the quality of the infra by employed QA automation methods.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development

we're seeking a highly skilled Front-End CAD Engineer to join our local engineering powerhouse from the ground up.

As a Front-End CAD Engineer, you will be the backbone of our chip design ecosystem. You wont just be using tools; youll be architecting the methodologies, automation scripts, and design flows that enable our hardware teams to push the limits of silicon performance. Your work directly impacts the productivity of the design team and the time-to-market for our next-generation processors.


Key Responsibilities

Develop, maintain, and optimize RTL generation tools, building automated IPs and SoC schemes
Create robust applications using Python and Tcl to automate models build, regression and analysis tools and other assisting tools for all disciplines in front-end flows
Evaluate and integrate Electronic Design Automation (EDA) tools from vendors like Cadence, Synopsys, and Mentor Graphics
Define the methodologies of usage and integrate AI tools in this fast-growing field impacting all VLSI development flows

seeking a Software Engineer to join our Cloud Security Inventory team within the Falcon Cloud Security organization. This role focuses on building and maintaining scalable inventory systems that process and manage cloud resources across multiple cloud providers. You'll be part of a team handling high-scale data processing, serving both customer-facing and internal applications, while expanding our Cloud Security Posture Management (CSPM) capabilities.

What You'll Do:

Design and develop inventory systems processing muti millions of cloud resources daily across multiple cloud providers

Research and deep dive into cloud provider services to expand resource coverage and become a subject matter expert

Build and optimize high-throughput data collection pipelines that can handle rapid scale increases

Develop creative solutions for resource relationship mapping, efficient data storage, and real-time inventory updates at massive scale

Collaborate with cross-functional teams to understand their unique inventory needs and create scalable solutions

Participate in architectural discussions to solve complex technical challenges

Research and propose new approaches to handle growing data volumes and customer requirements

Help maintain system reliability while constantly scaling up operations

As a Senior Engineer on the static analysis team, you will be a key contributor, playing a vital role in designing and building a powerful automated reverse-engineering engine. You will be tackling complex, unsolved problems in code analysis by translating cutting-edge research and critical business needs into robust, production-ready engineering solutions.

If you enjoy solving extremely difficult problems while drawing solutions from multiple domains and thrive in a hands-on technical role, then this position is for you.

What You'll Do:

Drive the hands-on design and implementation of core components for our powerful automated reverse-engineering engine.

Conduct research and development on cutting-edge algorithms for deep-code and data flow analysis.

Play a key role in developing, designing, and optimizing the Falcon ASPM platform.

Collaborate with fellow team members to solve the most complex and novel technical challenges.

Contribute across the entire software development lifecycle, from initial research and system design to production deployment and monitoring.

This is a Senior Software Development Engineer in Test (SDET) position on our Falcon Data Protection product development team, focusing on the integration between our endpoint sensor and browser extension technology. You will own the end-to-end quality process for how the sensor and browser extension work together to deliver data protection - from hands-on exploratory testing and test strategy design through to building robust automation. As a key contributor to the team, you will drive validation for new capabilities, ensuring data protection works as expected across the full stack. Working closely with sensor, cloud, and extension development teams, you'll coordinate testing efforts, participate in technical design discussions, and lead code reviews. We're seeking a senior engineer who works independently, thrives on technical challenges, takes full ownership of quality for their domain, and contributes to a culture where quality is paramount.

Location: Hybrid - Tel Aviv, Israel

Success in this role means:

Owning the entire quality process for sensor and browser extension integration - from test strategy through hands-on testing to automation

Driving validation of new capabilities end-to-end, including test design, hands-on testing, automation, environment setup, and coordination across teams

Identifying what can and should be automated, and building that automation incrementally

Reviewing developer test code and SDET test code to raise the quality bar across the team

Collaborating both within and across teams as part of SDLC ceremonies and major initiatives

Building elegant, robust, and reliable solutions for complex technical problems

What You'll Do:

Own the quality process for sensor-browser extension integration - design and implement comprehensive test strategies, configure environments (VMs, CI/CD pipelines) and coordinate with developers and QA

Perform hands-on exploratory and manual testing of new features, then identify automation opportunities and build integration and E2E test automation

Build and maintain integration and end-to-end tests using Python, ensuring data protection features works correctly across sensor and browser extension on both Windows and macOS platforms

Review developer-written tests and SDET test code with an eye towards improving reliability, security, and maintainability

Debug cross-platform issues found through testing or customer-reported cases to identify root cause and enhance test coverage

Reproduce and validate fixes for customer-reported issues

Manage test infrastructure including CI/CD pipelines in Jenkins, ensuring fast and reliable feedback loops

Participate in SDLC ceremonies as part of major initiatives, collaborating with sensor, cloud, and extension teams

Collaborate with product and release management to control risk, improve quality, and streamline release cycles

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

seeking a Senior Engineer for Cloud Security Product Group.

Were extending mission of stopping breaches into the public cloud and cloud-native workloads. product offering will give customers the ability to monitor and track their cloud-native workloads as well as hardening and protecting them against attacks prior to deployment. This offering will help with defending against potential adversary activities involving cloud-native resources. When coupled with Falcon, CrowdStrikes endpoint security offering, our CSPG offering will provide a more comprehensive perspective on how the adversary is targeting key customer infrastructure. Our ultimate goal is to provide a single platform for securing the entire lifecycle of cloud workloads and cloud security posture.

What You'll Do:

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products

Leverage and build cloud-based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale

Brainstorm, define and build collaboratively with members across multiple teams

Work in a startup-like environment with a small fast-moving team

Be mentored and mentor other developers on backend, and data storage technologies and our system

Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability

Be given the autonomy to own your work in a high trust environment

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems.At Valence, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.

Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands