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As a Senior Software Engineer for our company Asset Beacon, you will be a key technical contributor driving the development of innovative solutions for commercial real estate asset management. Working within a collaborative engineering team, you will take ownership of complex technical challenges across the full development lifecycle, designing and implementing robust, scalable solutions that translate business requirements into actionable insights and streamlined experiences for real estate professionals.
You will collaborate closely with the engineering and data team, product managers, and global distributed teams to build and enhance both frontend and backend components. A significant focus involves exploring and implementing AI-driven capabilities, identifying opportunities to integrate artificial intelligence for enhanced automation, predictive analytics, and intelligent decision-making tools. Your full-stack development skills and architectural mindset will be essential in advancing the platform's technical capabilities while contributing to a culture of innovation and continuous improvement.
This role offers the opportunity to make a direct impact on the real estate industry through cutting-edge technology, working with modern development practices and contributing to solutions that help optimize asset performance and drive business value for commercial real estate professionals worldwide.
Responsibilities:
General responsibilities
Build and maintain infrastructure for the platform and manage aspects of the release cycle
Conduct regular code reviews, provide technical guidance, and support professional development of team members
Manage planning, task allocation, and technical delivery timelines
Foster a collaborative, innovative culture within and across teams
Stakeholder Management
Communicate technical constraints, opportunities, and progress to non-technical stakeholders
Collaborate with internal developers and external partners to align on development
roduct Collaboration
Coordinate closely with the product team to understand requirements and deliver solutions
Develop features from conception through release with attention to user experience
Ensure technical solutions address business requirements
Our Technologies:
Frontend: VueJS, SASS/CSS
Backend: Python, Django, FastAPI
Database: SQL with ORM integration
DevOps: Docker, Kubernetes, Helm, GitHub Actions
AI Tools: Cursor, OpenAI Agents SDK, LLMs.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive We are looking for a talented, team-person who will join our Cyber Security team and help us tackle the toughest security challenges in protecting the company digital assets in our network. This role is a team member in our IT cyber security team. The Cyber Security team is composed of strong and experienced security engineers, responsible for design, implement, analyze, and maintain security controls or our enterprise and SAAS environments Job Description:
* Lead O365 and Identity security
* Architect secure network and application layouts
* Choose and configure security controls and workflows
* Handle emerging threats such as AI creatively
* Use AI dev tools to build security automation and internal tooling
* Mentor other security engineers and raise team capabilities
* Partner closely with Dev, DevOps, Platform, and IT teams
* Define clear, actionable security standards and drive adoption
* Act as a cyber security expert for various IT and R&D projects

Country:
Israel

City:
Herzliya

about the job
when leading companies choose our company cloud, it's a huge win for spreading the power of cloud computing globally. once educational institutions, government agencies, and other businesses sign on to use our company cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. you listen and deliver what is most helpful for the customer. you assist fellow sales our company by problem-solving key technical issues for our customers. you liaise with the Product Marketing management and engineering teams to stay on top of industry trends and devise enhancements to our company cloud products.
as a customer engineer, you will work with technical business teams as a Machine Learning subject matter expert to differentiate our company cloud to our customers. you will help prospective customers and partners understand the power of our company cloud, explain technical features, help customers design architectures, and problem-solve any roadblocks. you will also have the opportunity to help customers to leverage specialized Machine Learning (ml) hardware developed by our company , called tensor processing unit (tpu). you will work with customers and product development to shape the future of the platform.our company cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage our companys cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our company cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
work with the team to identify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
provide Machine Learning (ml) expertise to support relationships with customers, including product and solution briefings, proof-of-concept work, and partnering with product management to find solutions.
work with customers to demonstrate our company cloud product integrations in customer/partner environments.
recommend integration strategies, enterprise architectures, platforms, and application infrastructure to implement a complete solution using best practices on our company cloud.
travel to customer sites, conferences, and other related events as needed.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an office.

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.

Youll collaborate closely with Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.


What Youll Do:

Engineering & Delivery

Build, maintain, and optimize data pipelines for batch and streaming workloads.

Develop reliable data models and transformations to support analytics, reporting, and operational use cases.

Integrate new data sources, APIs, and event streams into the platform.

Implement data quality checks, testing, documentation, and monitoring.

Write clean, performant SQL and Python code.

Contribute to improving performance, scalability, and cost-efficiency across the data platform.

Collaboration & Teamwork

Work closely with senior engineers to implement architectural patterns and best practices.

Collaborate with analysts and data scientists to translate requirements into technical solutions.

Participate in code reviews, design discussions, and continuous improvement initiatives.

Help maintain clear documentation of data flows, models, and processes.

Platform & Process

Support the adoption and roll-out of new data tools, standards, and workflows.

Contribute to DataOps processes such as CI/CD, testing, and automation.

Assist in monitoring pipeline health and resolving data-related issues.

We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team.
Youll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep our data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders.
About the Platform group
The Platform Group accelerates our productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, youll help shape the technical foundation that supports our entire engineering team.
Job responsibilities:
Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals
Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off
Improve system observability, testing and incident response processes for the data stack
Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards
Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement
Stay current with evolving data-engineering tools and bring pragmatic innovations into the team.

We are looking for a Product Manager - Runtime Agent to lead the strategy and evolution of our runtime agent technology. In this role, you will own the product direction of one of the most critical components of our platform - the agent responsible for collecting deep runtime telemetry and enabling real-time security insights across cloud-native environments.

This is a highly technical product role that sits at the intersection of security, operating systems, and cloud infrastructure. You will work closely with engineering, research, and customers to design high-performance runtime capabilities that deliver deep visibility while maintaining minimal system overhead.

If you are passionate about low-level systems, cloud security, and building infrastructure products used at scale, this is an opportunity to make a meaningful impact on the security posture of the worlds most advanced organizations.

What Youll Own
Define and drive the product vision, strategy, and roadmap for our runtime agent technology.
Work closely with engineering teams on agent architecture, telemetry collection, and performance optimization.
Translate complex runtime visibility and security requirements into scalable product capabilities.
Balance deep system visibility with minimal performance overhead in production environments.
Define deployment, upgrade, and compatibility strategies across Linux distributions, kernel versions, and cloud environments.
Partner with customers, field teams, and research groups to understand evolving runtime security and observability needs.
Collaborate with platform and data teams on telemetry pipelines and runtime analytics capabilities.
Drive product decisions based on customer feedback, usage data, and market trends.

The Product Management team is seeking an experienced Senior Product Manager who is technical, collaborative, and truly excited about building great cloud security products. In this role, you will bring your in-depth knowledge of the cloud detection and protection market to help guide the evolution of our Cloud Security Product Offerings. You will work closely with customers, engineering, researchers, product marketing, sales, support, and other product managers. You will bring existing knowledge about product management best practices and apply them in delivering significant new features and enhancements, addressing the needs of cloud security. The successful candidate will have the ability to interface and influence cross-functional teams throughout the company.


What You'll Do:

Act as the product leader for major initiatives around Cloud Detection & Response.

Understands the Cloud Security markets and capabilities.

Utilize strategic insight and organizational skills to identify unmet customer needs, define use cases, and advance the functional capabilities of this offering.

Interact with different audiences such as Cloud Security Architects, DevOps, Incident Responders, Developers and Hunters to define innovative products.

Collaborate closely with Engineering and Data Science to understand threat and attack trends and deliver new visibility and defenses.

Partner with marketing to help define go-to-market strategy & messaging, assist with product positioning, benefits, and target personas.

Engage with sales and support to champion recent releases and guide future product direction.

Partner with UX Professionals to help deliver a world class user experience.

Conduct competitive analyses and maintain current information regarding competitive activity.

Work on a team of high-performing product professionals in a very collaborative environment.

The Product Management team is seeking an experienced Senior Product Manager who is technical, collaborative, and truly excited about building great cloud security products. In this role, you will bring your in-depth knowledge of the cloud detection and protection market to help guide the evolution of Cloud Security Product Offerings. You will work closely with customers, engineering, researchers, product marketing, sales, support, and other product managers. You will bring existing knowledge about product management best practices and apply them in delivering significant new features and enhancements, addressing the needs of cloud security. The successful candidate will have the ability to interface and influence cross-functional teams throughout the company.



What You'll Do:

Act as the product leader for major initiatives around Cloud Detection & Response.

Understands the Cloud Security markets and capabilities

Utilize strategic insight and organizational skills to identify unmet customer needs, define use cases, and advance the functional capabilities of this offering

Interact with different audiences such as Cloud Security Architects, DevOps, Incident Responders, Developers and Hunters to define innovative products.

Collaborate closely with Engineering and Data Science to understand threat and attack trends and deliver new visibility and defenses

Partner with marketing to help define go-to-market strategy & messaging, assist with product positioning, benefits, and target personas

Engage with sales and support to champion recent releases and guide future product direction

Partner with UX Professionals to help deliver a world class user experience

Conduct competitive analyses and maintain current information regarding competitive activity

Work on a team of high-performing product professionals in a very collaborative environment

We are seeking an experienced HR Tech Lead to join our IT department and play a pivotal role in driving this transformation.
Job Id: 24790
The HRIS Technical Lead will own the technical architecture, integration strategy, and hands-on implementation of our global HR technology landscape. This role acts as the bridge between business requirements and technical execution, ensuring systems are scalable, secure, and seamlessly integrated with the broader IT ecosystem.
Key Responsibilities
Technical Implementation & Configuration: Lead the technical side of the HR Transformation project, translating business requirements into system configurations, workflows, and business rules within the Core HR platform.
Integration Architecture & Development: Design, build, and maintain robust integrations (API, SFTP, middleware) between the Core HR system and downstream applications (Active Directory, Payroll, Finance/ERP, Identity Management).
Data Migration & Integrity: Lead the data migration strategy from legacy systems to the new platform. This includes mapping data fields, performing data cleansing, executing bulk imports, and validating data accuracy.
System Architecture & Security: Define and maintain the system architecture, ensuring strict adherence to data privacy (GDPR), security standards, and Role-Based Access Control (RBAC).
Solution Design: Collaborate with HR and IT stakeholders to analyze complex process gaps and design technical solutions that automate manual work and improve data flow.
Testing & Deployment: Lead technical testing cycles (Unit Testing, Integration Testing), troubleshoot defects, and manage the technical cutover plan during go-live.
Post-Go-Live Optimization: Serve as the Tier-3 technical escalation point for complex system issues and drive continuous improvement through new feature releases and patch management.

We are looking for an experienced Software Engineer to join our team with a focus on services and infrastructure development, while being comfortable contributing across the full software stack when required.

This role is well suited to an engineer who enjoys designing and building scalable backend services, integrating them with infrastructure platforms, and contributing to end-to-end solutions that support sophisticated engineering workflows. While some components may include frontend elements, the primary emphasis is on service architecture, APIs, data handling, and system reliability.

In this role, you will collaborate closely with engineers and partners across the organization to design, deliver, and evolve maintainable solutions that underpin GPU software engineering infrastructure. You will also contribute to technical direction, mentor others, and help shape the long-term evolution of our platforms.

Responsibilities:
Design, develop, and maintain scalable backend services using Python, Go or similar languages, with the ability to contribute to full-stack solutions where appropriate.
Take ownership of services across their lifecycle, from design and implementation through deployment and production support.
Design and evolve APIs and service interfaces that support tooling, automation, and infrastructure workflows.
Contribute to end-to-end feature development, spanning backend services, APIs, and selective frontend components where they support infrastructure use cases.
Collaborate closely with teams across tooling, automation, and infrastructure to ensure seamless service integration.
Improve system reliability, performance, and scalability through thoughtful design and continuous optimization.
Contribute to infrastructure modernization initiatives, including cloud-based and containerized deployments.
Follow and promote standard methodologies for code quality, testing, documentation, and design reviews.

Were looking for a Staff Application Security Engineer to join our IT and Security team. This role is ideal for a hands-on security professional who is passionate about working closely with engineering teams to design secure software, fix vulnerabilities, and promote a culture of security across the organization.

Youll be responsible for shaping and owning our Secure Software Development Lifecycle (SSDLC), managing security tooling, and leading the assessment of application and API security across our products and services.

Here are a few of the things you will do:
Collaborate directly with engineering teams to define remediation strategies, track implementation, and validate security fixes across the application stack.

Design, implement, and drive SSDLC practices across the company-from security design reviews and threat modeling to proactive triaging in production.

Conduct threat modeling, architecture reviews, and security assessments of cloud-based applications and services, including those leveraging emerging technologies.

Manage HoneyBooks bug bounty program, validating reports and coordinating response and resolution.

Own and operate our suite of AppSec tools including SAST, ASPM, and other security scanners-triaging findings, prioritizing issues, and guiding engineering toward resolution.

Review source code and applications to identify vulnerabilities and collaborate with dev teams on remediation.

Act as the point of contact for findings from penetration tests, automated scanners, and external assessments, helping manage triage and ensure timely fixes.

Continuously research and stay current with application security trends, frameworks, vulnerabilities, and best practices.

Promote a strong security culture across HoneyBook by educating and enabling engineers, architects, and DevOps teams to build secure software from the ground up.

we are looking for an experienced Senior data Scientist specializing in NLP and Large Language Models (LLMs) to join our AI & data practice. In this role, you will lead the design and development of advanced NLP and Generative AI solutions, including on-premise Hebrew LLM systems, for enterprise clients across multiple industries. You will work closely with data engineers, software architects, and AI specialists to build production-grade AI systems that power decision-support tools, intelligent interfaces, and next-generation applications
Generative AI & NLP Solutions
* Lead the development of Hebrew LLM-based solutions, including on-premise deployments for enterprise environments.
* Design and implement NLP pipelines for:
* Text classification
* Sentiment analysis
* Named Entity Recognition (NER)
* Develop Generative AI applications supporting decision-support systems and intelligent user interfaces
* Build and optimize semantic search, embeddings, and Retrieval-Augmented Generation (RAG) architectures
* Implement multi-agent and long-chain LLM workflows for complex reasoning tasks. Architecture & Technical Leadership
* Provide technical leadership and architectural guidance for AI/ML solutions.
* Collaborate with data engineers, MLOps, and software teams to deploy scalable NLP models into production environments.
* Design efficient text representations and feature engineering pipelines
* Ensure solutions meet enterprise-level performance, security, and scalability requirements Innovation & Client Impact
* Analyze large-scale datasets and deliver data -driven insights that improve business processes.
* Stay updated with the latest advancements in NLP, LLMs, and Generative AI ecosystems
* Contribute to innovation initiatives and knowledge sharing within our AI community.
* Work closely with enterprise clients, translating business needs into AI-driven solutions.

We're hiring for a new AI Engineering team in Tel Aviv, and you would be the first infrastructure hire. You will own the platform layer for AI agents the team builds: deployment architecture, observability, and production reliability.
The team's first two projects: an agent that automates internal governance processes (vendor reviews, security questionnaires, tool provisioning), and an agent that helps engineering teams prepare for architecture reviews. Both integrate with external APIs (LLM providers, OneTrust, ServiceNow), handle structured decision logic, and manage sensitive data flows with audit requirements.
Highlights
- Greenfield, but with real constraints. You're building on Azure/AWS with enterprise security requirements. The challenge is designing deployment and observability for LLM-backed services. You need to track output quality, cost per invocation, and model drift.
- Enterprise complexity, startup autonomy. Ownership and greenfield environment of a startup, with the integration challenges of a Fortune 200: connecting AI services to real enterprise systems.
- More than infrastructure. Your core is SRE, but you'll also write agent code in TypeScript and Python, work with data pipelines, and ship features alongside the team.
What the Work Looks Like
AI Service Infrastructure - Design and maintain deployment and release infrastructure for AI agents. The stack is cloud-native (Azure/AWS), with services that call LLM APIs, connect to enterprise systems, and handle structured data.
Observability & Reliability - Build monitoring and observability for AI services. Ensure model response quality doesn't degrade silently by tracking errors, logging cost spikes, and monitoring upstream API changes.
Security & Compliance - These agents handle sensitive workflows with elevated security requirements. You will work with our company's security team on standards, but you own how they're implemented in the infrastructure.
Developer Experience - Create tooling that makes it easy for the team to build, test, and deploy. The patterns you set become the team's defaults.

This role combines a blend of skill sets including security operations & incident response, data analytics, risk management, software development, and threat research. If you enjoy researching cloud security issues and developing detection content as code, all in a fast-paced environment with broad collaboration across a diverse team, this role is for you.

What You'll Do:

As a member of the Falcon Cloud Security Detection Engineering team, you will be responsible for performing research into cloud threats, vulnerabilities, and abuses, to determine configuration best practices that can be used to secure cloud services and assets. You will also be responsible for developing and deploying detection rules as code into the FCS product ecosystem along with writing descriptions that customers will use to understand and action alerts generated by these rules.

While this role is being sourced in the EMEA global region, the core of the FCS Detection Engineering team is US-based. This role will honor a working day within local standard business hours for each team member, but will also require regular participation in team meetings and live collaboration with US-based staff. Candidates should expect a variable working window that may shift from starting at 9:00am to 10:00am and end at 6:00pm to 7:00pm.

Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers, including world-leading brands, rely on our platform to streamline and accelerate everything from compilation, release automation, and Agentic Dev Cycles. We are looking for a G2M Engineer to own and develop our technical growth and revenue engine. You will be the architect of our go-to-market infrastructure, securing our competitive advantage by building the agentic workforce that power our funnel. This is a highly technical role for someone who wants to apply engineering principles to marketing and sales, replacing manual processes with sophisticated, AI-driven automation. Key Responsibilities: Funnel Architecture & Development: Own the data pipelines across the business unit toolchain (SFDC, HubSpot, Posthog, Gong, etc.) and user behaviour usage to provide reliable data visibility and high velocity lead and user engagements.
* Outbound workflows: Build automated outbound agents to prospect and acquire leads, relying on inbound, website,and social analytics using tools like Hey-Reach, Zoominfo and others. Cross-team alignment: Build internal triggers that notify Marketing, Sales, and CS stakeholders on key usage events to allow improved outreach. Market Intelligence: Develop AI agents to monitor market trends, analyze customer/prospect sentiment, driving qualitative data into actionable marketing plays. Generative Content Engine: Create and manage AI agents that leverage SEO/GEO data and market trends to accelerate PMMs creation of high-intent content delivery. Team Efficiency: Develop internal marketing and sales tools to resolve operational bottlenecks and eliminate the "manual tax" on the team.