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Role Overview We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads. This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality. This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data -critical, high-scale environment What Makes This Role Different
* Not a feature team - focus on system -level problems
* Not a traditional manager - strong hands-on ownership
* Not advisory - drives and executes real changes in production
* Works across teams - true cross-team impact
Responsibilities: Cross-Team Technical Leadership
* Lead a Core Team working across multiple squads
* Identify system -wide bottlenecks, risks, and architectural gaps
* Drive alignment on engineering standards and best practices
* Partner closely with Tech Leads, Product, and Dev teams Architecture & system Design
* Own and evolve system architecture (Monolith Modular / Services)
* Reduce tight coupling and improve system boundaries
* Lead major refactoring and modernization efforts
* Ensure scalability, performance, and resilience
* Microservice architecture (from modular monolith to microservices) Hands-On Development (70%)
* Write complex production code across services
* Lead by example in code quality and design
* Take ownership of the most challenging technical problems Engineering Excellence & Enablement
* Define and enforce development standards (Code Reviews, Design Patterns)
* Improve observability (monitoring, logging, alerting)
* Build reusable tools, infrastructure, and shared components
* Enable teams to deliver faster with higher quality
* Advantage for AI driven standard validations Mentorship & Technical Growth
* Mentor engineers and Tech Leads across teams
* Raise the engineering bar across the organization
* Support teams in production debugging and solving complex production issues Tech Stack backend : Node.js, (Express,nestJS), PHP (advantage) frontend : React, Redux, React Hooks data : MySQL, SQL, Redis Infrastructure: AWS
* Advantage: Experience with agent frameworks (agentic flows)

We are seeking a Lead Software Engineer to join the AI Workspace team. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
job requisition id
JR105705
What You'll Do
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions.

We are looking for a highly technical, hands-on Tech Lead to build and lead a Core Engineering Team that operates across all R&D squads.
This team will act as a force multiplier - solving complex system challenges, driving architectural improvements, and enabling development teams to move faster with higher quality.
This is a deeply hands-on role (50%), combining system design, architecture, and execution in a data-critical, high-scale environment.
What Makes This Role Different:
Not a feature team - focus on system-level problems
Not a traditional manager - strong hands-on ownership
Not advisory - drives and executes real changes in production
Works across teams - true cross-team impact
Responsibilities:
Cross-Team Technical Leadership:
Lead a Core Team working across multiple squads
Identify system-wide bottlenecks, risks, and architectural gaps
Drive alignment on engineering standards and best practices
Partner closely with Tech Leads, Product, and Dev teams
Architecture & System Design:
Own and evolve system architecture (Monolith → Modular / Services)
Reduce tight coupling and improve system boundaries
Lead major refactoring and modernization efforts
Ensure scalability, performance, and resilience
Microservice architecture (from modular monolith to microservices)
Hands-On Development (70%):
Write complex production code across services
Lead by example in code quality and design
Take ownership of the most challenging technical problems
Engineering Excellence & Enablement:
Define and enforce development standards (Code Reviews, Design Patterns)
Improve observability (monitoring, logging, alerting)
Build reusable tools, infrastructure, and shared components
Enable teams to deliver faster with higher quality
Advantage for AI driven standard validations
Mentorship & Technical Growth:
Mentor engineers and Tech Leads across teams
Raise the engineering bar across the organization
Support teams in production debugging and solving complex production issues
Tech Stack:
Backend: Node.js, (Express,nestJS), PHP (advantage)
Frontend: React, Redux, React Hooks
Data: MySQL, SQL, Redis
Infrastructure: AWS
Advantage: Experience with agent frameworks (agentic flows)
Success in This Role:
Teams deliver faster with fewer blockers
System architecture becomes more scalable, modular and stable
Production stability and observability improve
Engineering standards are consistent and adopted
The Core Team becomes a trusted partner across R&D.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group. In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools. The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

Advantages:

* Experience working in multidisciplinary environments.
* Hands on experience with Python and Bash development.
* Familiarity with TensorRT framework.
* Familiarity with Git, Jira.
* Familiarity with OpenCV.
* Familiarity with CUDA and NVIDIA platforms.

About the Role & Responsibilities
Drive the technical vision for Hive Team - We're building high-leverage internal platforms that power our companys decisioning and analytics.
Lead complex, cross-functional technical projects from inception to implementation, ensuring alignment with architectural standards and best practices.
Mentor and guide engineers to foster technical excellence, while partnering with product, engineering, research, and ops to translate complex requirements into scalable, reliable systems.
Establish and champion engineering best practices, high coding standards and a winning professional culture, within our team and across the engineering organization.

Required Engineering Squad Lead
Description
This is not your typical leadership role.
If youre looking to manage tasks, run standups, and stay above the code - this position probable isnt for you.
But if you want to build systems, shape engineers, and redefine how teams operate in the age of AI - keep reading.
What were actually building:
Were building systems that dont just process data - they make decisions.
Real-time. At scale. Under uncertainty.
Fraud evolves fast.
So our systems, and our engineers, need to evolve faster.
This is where you come in.
What youll actually do
Youll lead a team - but youll also build with them
Youll make architectural decisions that directly impact how the system scales and behaves
Youll own critical parts of the system - not just people
Youll turn ambiguity into direction (for both product and engineering)
Youll raise the bar: in code quality, system design, and how the team thinks
Youll embed AI into how the team works - not as a tool, but as leverage
Youll help strong engineers become exceptional
What makes this role different:
You wont just manage execution - youll shape how we build
You wont just lead people - youll lead thinking
Youll have real influence on architecture, product, and engineering culture
Youll work on systems that actually matter - with real scale and real impact
Youll help define what a high-performing AI-native engineering team looks like
Stack (for context, not as a checklist):
Node.js / TypeScript
Distributed, event-driven systems
Kafka
AWS
MongoDB + Postgres
Containers (Docker, Kubernetes / ECS).

Were looking for an experienced and passionate Software Engineering Team Leader to join our Elastic WAF group - the group behind most strategic and modern next-generation WAF product lines within the AppSec organization.
The Foundation team builds the core infrastructure that powers these products. The team is responsible for developing the foundations of new Cloud-Native and SaaS WAF solutions, designed for simple, fast, and DevOps-friendly onboarding and installation. These products deliver best-of-breed security through a modern, scalable architecture and seamless operational experience.
If youre passionate about leading talented engineers, designing scalable systems, and shaping the architecture of cutting-edge security products, wed love to meet you.
Key Responsibility:
Lead a team of 4 skilled developers focused on building and maintaining core components, shared services, and developer tooling.
Lead distributed system design decisions and continuously improve system performance, maintainability, and technical standards.
Design and evolve scalable, multi-tenant SaaS architecture and cloud-native platform services (microservices, APIs, event-driven systems).
Be hands-on with architecture and development in Java, Go, and Kubernetes.
Drive cross-team initiatives that improve development efficiency, reliability, and scalability.
Act as a mentor and coach to help team members grow professionally and technically.
Collaborate with engineering leads and product stakeholders to set technial direction and priorities.
Champion innovation, transparency, and a strong engineering culture.
Ensure reliability and operational excellence, implementing observability (metrics/logs/tracing) and strong incident response practices.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.
Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

Were looking for a hands-on AI Engineering Tech Lead to define and drive AI-native engineering practices, lead the architecture and development of scalable, intelligent systems, and embed AI across the software development lifecycle. This role involves providing technical leadership, identifying and solving architectural challenges, and collaborating cross-functionally to deliver high-impact, production-grade solutions.
Responsibilities:
Define and codify AI-native engineering practices, patterns, and guidelines to elevate the software development lifecycle.
Provide technical leadership and mentorship, fostering an AI-first engineering culture across teams.
Architect and lead the development of AI-native system frameworks that emphasize modularity, extensibility, and adaptive scalability.
Identify architectural risks, systemic bottlenecks, and long‑term scalability concerns - and proactively drive solutions.
Collaborate closely with Product, Customer success, Security and Business stakeholders to ensure technical solutions deliver real business impact.

Required SW Engineer Team Leader
As a Frontend Infrastructure Team Leader, you will shape the foundations that power our frontend ecosystem and influence how engineering excellence is practiced across the company.
Why Join Us:
Own and shape frontend standards, architecture, and best practices company-wide
Lead innovation initiatives using cutting-edge frontend technologies and modern development approaches
Drive high-impact infrastructure projects that enable product teams to scale efficiently
Grow as a strategic technical leader with broad organizational influence
Key Responsibilities:
Provide strong technical leadership and architectural direction for our frontend infrastructure
Lead, mentor, and grow a team of frontend engineers, fostering a culture of ownership, collaboration, and excellence
Define and execute the frontend infrastructure roadmap in alignment with company objectives
Evaluate and implement modern frontend technologies and best practices to ensure scalability, performance, and maintainability
Collaborate cross-functionally with product, backend, design, and other stakeholders to drive cohesive solutions.