דרושים » הנדסה » Mgr, SW Engineering

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.

In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.

Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

Your Career The SASE Platform team builds and operates highly available, secure, and globally distributed services that protect users, applications, and data for some of the worlds largest enterprises. Our mission is to deliver cloud-native security and networking capabilities that seamlessly converge networking and security at scale. As enterprises accelerate adoption of cloud, remote work, and AI-driven workloads, the need for resilient, observable, and secure SASE platforms has never been greater. As an SRE, you will play a critical role in ensuring our platform is reliable, scalable, performant, and secure from day one. Your Impact As a Site Reliability Engineer, you will be an integral part of the product and platform lifecycle, partnering closely with software engineers, security experts, and infrastructure teams. You will: Collaborate with development teams to embed reliability, scalability, and operability into services from the earliest design stages Design, review, and evolve cloud-native architectures to improve availability, performance, cost efficiency, and fault tolerance Build and operate automation for provisioning, deploying, and managing infrastructure at global scale using Infrastructure as Code Improve CI/CD pipelines and release processes to enable safe, fast, and repeatable deployments Drive observability best practices, including metrics, logs, traces, SLIs/SLOs, and data-driven incident analysis Participate in on-call rotations, continuously reducing MTTR through automation, runbooks, and proactive reliability improvements Mentor and guide engineers on large-scale cloud and SASE deployments, fostering a strong SRE culture Participate in architecture and design reviews, bringing a reliability and operational excellence mindset Champion reliability, security, and operational maturity across the organization.

Were looking for a Full-Stack Team Lead to join our Tel Aviv office (Hybrid) and take full ownership of a cross-functional product squad, including a cross-functional engineering team, a Tech Lead, and QA.

This is a high-impact leadership role at the intersection of people, product, and technology. Youll drive execution, delivery, and team health - partnering closely with Product, Design, and the rest of R&D to bring complex features to life, scale our systems, and ship customer value quickly and reliably.
Youll set the tone and culture for your squad, mentor engineers and leads, and turn business goals into measurable outcomes.
Expect real autonomy, hands-on impact, and the opportunity to build something that matters in a fast-moving, product-led environment.
Responsibilities:
Lead a cross-functional squad of engineers and QA through product delivery from roadmap to production
Partner with Product and Design to plan features, define priorities, and scope trade-offs
Own system architecture, delivery velocity, and long-term maintainability
Mentor engineers and Tech Leads, grow their capabilities, and support career development
Write and review high-quality code (~20% hands-on)
Guide technical decision-making and conduct design and architecture reviews
Ensure production health through observability, incident response, and performance improvements
Promote a culture of quality, agility, and continuous improvement
Collaborate cross-functionally with other squads, DevOps, QA, and leadership

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our company's security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.

we are seeking a Hands-on Architect to design, build, and evolve the core of our companys next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

We are seeking an exceptional Engineering Manager to found and lead a new engineering team focused on developing next-generation Data Protection capabilities.

This is a high-impact, hands-on leadership role requiring both deep technical ownership across various domains (low-level, Backend, Frontend) and people leadership and product vision. You will be responsible for defining the technical direction, building the initial product components, and growing a high-performing, multi-disciplinary team from the ground up.

What will you Do?
The new team will be responsible for rapidly integrating existing capabilities and developing new, production-grade features. This will include:

Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

Join us as Platform Team Lead and take full ownership of the platform layer powering our AI-based, high-scale product. Youll lead a team of talented engineers, own strategy and architecture, and stay hands-on with critical design and development. This is a key leadership role where you'll shape the infrastructure, services, and tooling that drive everything we build.

Your responsibilities:
Define and evolve the long-term vision for Blinks application platform, translating product ambitions into a clear technical roadmap.
Lead, mentor, and grow a high-performing engineering team that values craftsmanship, autonomy, and rapid delivery.
Own key infrastructure components, ensuring performance, scalability, and security.
Partner closely with DevOps, Product, and peer engineering teams to ensure the platform scales gracefully as usage and feature complexity surge.
Foster a culture of continuous improvement, ownership, and innovation across the broader R&D organization.

We are looking for an experienced Senior Backend Engineer to join our Browse Management Core team.

As part of our core team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of Browse Management architecture.

Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.

If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.

Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

Your Career Get ready to lead the team that is shaping the future of software development at our company! You will manage a pioneering team building our agentic AI tool. This isn't just another product; it's our strategic solution for supercharging developer productivity through advanced vibe coding using state-of-the-art LLM models. We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of engineers. We are looking for an innovative, creative, agile, visionary, and experienced leader who is excited to build and guide the team, defining our next generation of engineering. Your Impact Lead, mentor, and grow a high-performing team of backend and AI developers, fostering a culture of innovation, collaboration, and velocity. Develop and execute a strategic, long-term vision and roadmap for the team, aligning with the broader company goals for developer productivity. Partner closely with key internal stakeholders to define scope, manage priorities, and drive engagement and adoption for your tools. Drive the team's technical direction, leading architectural and design reviews for sophisticated, hyper-scalable AI-powered features. Champion and improve engineering best practices - from agile methodologies and CI/CD to ensuring enterprise-grade quality and reliability for our live production systems. Actively recruit, hire, and onboard the best engineering talent to scale the team and its impact.

we are 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
Technical Environment:
Go
Databases: PostgreSQL, Elasticsearch/Opensearch, Cassandra
Message Queuing: Kafka
Cloud Platforms: AWS, GCP, Azure, OCI
Containerization: Docker, Kubernetes
Monitoring: Grafana, Prometheus.