לוח משרות דרושים מתכנת Python בתל אביב יפו

We are seeking a skilled
Python Software Engineer
to join our growing
R&D team
This role offers the opportunity to work in a fast-paced, innovative environment, contributing to the development of cutting-edge technologies.

Responsibilities:
Design, develop, and maintain core software tools and processes.
Optimize applications for improved performance, scalability, and efficiency.
Collaborate with cross-functional teams to integrate solutions seamlessly.
Troubleshoot, debug, and resolve complex technical issues.
Stay up to date with industry best practices and emerging technologies.

As a Senior Software Engineer within the Platform Infrastructure group, you will architect and develop the foundational Platform that powers all existing and future products. You will tackle the most complex, high-impact engineering challenges that span the entire stack- from low-level system configuration to distributed backend applications. Joining a global team, you will act as a technical lighthouse, conducting deep-dive research and resolving intricate performance and architectural issues that others cannot.

Responsibilities
Architect & Develop: Design and implement scalable, fault-tolerant backend services and infrastructure tools using Python, Docker, and Linux.
Deep-Dive Research: Act as the final escalation point for the R&D organization, diagnosing and resolving complex, ambiguous system-wide performance issues and "unsolvable" bugs.
Platform Innovation: Build long-term infrastructure solutions and internal tools to improve R&D efficiency and prevent recurring technical debt.
Technical Leadership: Drive architectural decisions using telemetry data and collaborate across global teams to coordinate cross-functional engineering efforts.

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.

Responsibilities

Design and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.
Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.
Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.
Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

We are seeking an experienced Software Architect to lead the design and evolution of our modular, component-based platform. This role is central to shaping scalable, maintainable, and future-ready backend systems as we modernize existing solutions and develop new ones. You will own architectural direction, define and enforce technical standards, and collaborate across teams to align design decisions with business, operational, and product goals.
The role focuses on system design, technical governance, and documentation, with hands-on contributions to PoCs, prototypes, and MVPs where needed.
Responsibilities:
Design and document scalable, modular backend architectures that support componentized platform development.
Lead architecture reviews and provide actionable guidance to development teams.
Define, provision, and enforce architectural standards, patterns, and governance practices across teams.
Support system modernization and greenfield development initiatives.
Ensure architecture decisions are aligned with long-term product strategy and evolving toward SaaS-based delivery.
Collaborate with Product, DevOps, QA, and Data Engineering teams to align architecture with cross-functional needs.
Contribute hands-on to early-stage initiatives (e.g., PoCs, architectural spikes, MVPs) to de-risk implementation paths.
Design systems with security, auditability, observability, and operational resilience in mind.
Promote engineering best practices, CI/CD adoption, and high-quality coding standards across the organization.
Incorporate and encourage the use of AI-assisted development tools to improve efficiency, consistency, and innovation.

We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features

We are looking for a Security Analyst to join our MDR team. In this role, you will be part of our security function, focusing on proactive reviews and providing advanced guidance to customers. This is an opportunity to develop your expertise in cloud security while working closely with analysts, researchers, and engineers.
Responsibilities :
Assist in fine-tuning detection and response mechanisms.
Support proactive reviews of customer environments to identify risks, exposed attack surfaces, and recommend improvements.
Lead and conduct in-depth security investigations, documenting outcomes and developing playbooks to enhance future detection and response.
Collaborate with Security Analysts, Research, and Backend teams to enhance detection quality.
Contribute to the handling of complex or critical incidents escalated from Tier 1/2.
Participate in recurring customer meetings, helping translate security findings into clear, actionable recommendations.
Stay up to date with emerging threats, attack techniques, attack surfaces, and best practices in cloud security.
Contribute to the development and training of AI-driven detection models, leveraging machine learning to improve investigation accuracy and response efficiency.

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

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