לוח משרות דרושים

A well-established semiconductor company based in Herzliya, specializes in providing security and Embedded solutions for the computing industry. We are seeking an Experienced TEST Automation Developer to join our Software team. As part of this role, you will collaborate within a multidisciplinary team to develop and maintain advanced security solutions tailored for PC and Server markets. Your responsibilities will include designing and developing automated testing systems for Embedded security products

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.
You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.
Architect and implement distributed services that power AI-driven applications.
Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

We are seeking an exceptional Backend Engineer to join our Platform Group, where you will architect and develop shared infrastructure components that power Semperis's enterprise security and identity products. This is a highly collaborative role requiring both technical excellence and strong cross-functional partnership skills.
What You'll Do:
As a Backend Engineer on our Core Platform team, you will:
Design and build shared platform components used across multiple product teams, ensuring scalability, reliability, and maintainability
Architect distributed systems using microservices and event-driven patterns that support enterprise-scale workloads
Own critical backend services from conception through deployment, including code quality, performance optimization, and operational excellence
Collaborate extensively with product engineers, DevOps, and architects to define platform capabilities and technical standards
Drive technical initiatives that improve developer productivity, system observability, and platform resilience
or backend development across the organization
Analyze system performance and data patterns to identify optimization opportunities and inform future platform investments

lookout for a highly skilled Senior Network Cyber Security Specialist to join our team. This role is critical for securing and maintaining robust, scalable, and secure network infrastructures in complex, multi-cloud environments (primarily Azure and AWS), cloud-native security controls and be able to handle end-to-end network security across distributed systems, hybrid environments, and multiple security domains. You will be a key player in securing the enterprise at every layer of the OSI model.



What youll do:
Comprehensive Network Security Management:
Secure and optimize complex hybrid networks, integrating Software-Defined Networking (SDN) across on-premises, Azure, and AWS, while implementing micro-segmentation strategies using tools like NSX, Azure Virtual Network (VNet) Peering, and AWS Security Groups.
Implement next-gen firewalls and intrusion detection/prevention systems (IDS/IPS), such as Palo Alto Networks or Fortinet.
Design end-to-end encrypted network connections with advanced key management techniques and certificate-based authentication to secure data in transit across public and private interfaces.
Threat Detection and Incident Response:
Implement real-time threat detection and response systems using machine learning and advanced analytics.
Establish incident response frameworks to handle high-priority security events.
Multi-Environment Security Integration:
Architect and secure highly available, multi-region, and multi-environment networks, utilizing Azure Global VNet Peering, AWS Global Accelerator, and cross-region replication to ensure data security and high-performance across geographies.
Ensure security compliance and policy enforcement across cloud, on-premises, and edge environments through centralized security management tools such as Azure Policy, AWS Config, and Terraform Sentinel.

we are a dynamic Fintech-travel startup headquartered in Tel Aviv, with a global presence in Argentina, Spain, the UK, the US, and India. Leveraging cutting-edge technology, our ompany addresses evolving challenges in the travel industry, generating an impressive $12 Billion in sales annually. As a pioneer in the field, we are committed to delivering real financial value to our extensive network of clients.
As a Platform Engineer at our company, you will be responsible for managing and optimizing our cloud infrastructure, ensuring smooth deployment and operation of our software systems. With a strong emphasis on Azure cloud infrastructure, you will play a crucial role in enhancing our development processes, automating workflows, and maintaining the reliability and scalability of our services. If you have at least 2 years of experience in a large-scale software development environment and a proven track record with Azure, we want to hear from you. As part of the role you will have the opportunity to
Architect, build, and automate scalable Azure cloud infrastructure across compute, networking, storage, security, and identity components
Take ownership of core platform domains across the company, including Cloud Infrastructure, SecOps, Observability, DataOps, and FinOps
Collaborate closely with R&D, security, and data teams to deliver reliable, secure, and scalable platform solutions
Manage, monitor, and optimize multiple production and non-production environments at scale
Implement infrastructure automation, operational tooling, and platform best practices
Implement and maintain security, compliance, and Zero Trust principles across infrastructure and engineering processes
Design and maintain resilient and scalable data infrastructure, including SQL Server, Azure SQL, and supporting cloud data services
Build and enhance monitoring, logging, alerting, and visibility capabilities across systems and services
Troubleshoot and resolve complex production infrastructure and platform issues
Stay current with Azure services, platform tooling, and emerging cloud and DevOps technologies
*This role includes periodic on-call responsibilities, which may include coverage during weekends and scheduled vacations.

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

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Runtime Platform team, youll be at the heart of our distributed systems, architecting the backbone of our container orchestration and real-time data streaming. Youll focus on hardening our Kubernetes clusters and Kafka infrastructure to ensure our microservices dance in harmony. Your mission is to abstract away the complexity of the underlying infrastructure, providing a seamless paved road for developers to deploy and scale their applications with confidence. Youll obsess over low latency, high throughput, and rock-solid resilience. If you enjoy fine-tuning resource limits or optimizing message durability while sharing your expertise with the wider engineering community, youll fit right in.

We are in search of a top-tier AI Agents applied researcher to work closely with hardware architects and software developers to develop end-to-end agentic systems that drive significant enhancements in our products. Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale.
What You'll Be Doing:
Build complex agentic systems featuring multi-agent coordination, long-horizon reasoning, and advanced planning frameworks.
Develop full-scale solutions, including domain-specific enterprise agents and high-performance retrieval pipelines (RAG) spanning various data sources.
Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.
Collaborate with SME's to transform rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in our HW and SW products.
Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

We are looking for a Senior Developer with Angular experience to lead the frontend development of a complex, GIS-driven web application built from the ground up. The system will deliver advanced geospatial visualization and interaction capabilities using technologies such as OpenLayers and potentially CesiumJS for 3D mapping. This is a hands-on role requiring strong architectural thinking, deep Angular expertise, and the ability to handle performance-intensive geospatial data in a rich client application. Key Responsibilities:
* Architect and develop a scalable Angular application from scratch, establishing best practices and coding standards
* Design and implement advanced interactive map features using OpenLayers and/or CesiumJS
* Integrate with backend REST APIs delivering geospatial data (e.g., GeoJSON, vector data )
* Work with map services (e.g., MapServer, OGC-compliant WMS/WMTS) and ensure efficient data rendering
* Optimize performance for large datasets and complex map interactions
* Build reusable, maintainable, and testable UI components
* Collaborate closely with backend developers, product managers, and domain experts
* Lead technical decisions on frontend architecture and mapping technologies
* Mentor other developers and contribute to code reviews and technical standards

As a senior technical writer in the company Technical Writing guild, you will lead complex developer documentation projects in a fast-paced, dynamic environment. You will be responsible for pushing the boundaries of AI to generate, maintain, and ensure high-quality documentation for developers building on the company platform, with a focus on optimizing content for AI agents and LLM-based tools.
Architect end-to-end documentation strategies for our company and Base44 development products
Utilize cutting-edge AI technologies and agents to automate and optimize the documentation lifecycle
Research, define, and create content standards for documentation consumption by LLMs and AI agents
Collaborate with engineers to document and test complex dev features, APIs, and CLI tools
Lead documentation projects which include supervision of technical writers and coordination with multiple stakeholders to bring projects to completion
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

We are seeking a highly technical Developer Relations Manager to join our team, with a focus on engaging deep collaborations with the next generation of security companies building solutions for the AI and Agentic era. In this role, you will work directly with security companies, guiding them on how to leverage our software stacks when developing solutions to secure AI and Agentic environments and workloads. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how our technology can solve complex, real-world challenges.
What You'll Be Doing:
Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in the AI and Agentic Security industry with cross-functional partners to drive adoption of our technologies.
Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core stack into developer products, platforms, and pipelines.
Guide partners and startups through onboarding and integration with our programs, fostering co-innovation and the development of next-generation solutions.
Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.
Represent and advocate for the partner technical needs and feedback to our internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

We are looking for a Hands-On Team Lead - Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.
This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.
The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for a Software Engineer (4+ years) with experience working with COBOL/Mainframe to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development initiative.

In this role, youll act as an AI Champion and Modernization Leader, working closely with development teams maintaining and evolving mainframe applications. Your mission is to help these teams integrate AI tools, agentic coding workflows, and emerging AI development best practices into their legacy and hybrid SDLC environments.

The focus is on enablement, training, and integration - not direct feature delivery. Youll bridge the gap between traditional mainframe development and AI-assisted software engineering, empowering teams to leverage tools like GitHub Copilot and emerging large-language-model (LLM) capabilities to accelerate modernization and improve developer experience.

This is a high-impact, high-visibility position designed for engineers who are hands-on with AI tools and want to influence how enterprise teams evolve their engineering practices. Success in this role looks like legacy teams delivering faster and smarter with AI - not lines of COBOL code written.

What Youll Do:

● Drive adoption and optimization of GitHub Copilot and other AI development tools in a variety of environments, including COBOL/Mainframe

● Mentor and support mainframe and backend engineers; answer questions, demonstrate workflows, and unblock teams

● Identify opportunities to use AI for code understanding, refactoring, documentation, and modernization

● Continuously track the evolving AI tooling landscape, surfacing relevant capabilities for mainframe use cases

● Measure impact, collect feedback, and identify improvement opportunities across the modernization lifecycle

● Navigate resistance to change with patience and empathy while promoting a learning culture

● Build a library of reusable AI assets (prompts, scripts, workflows) tailored to mainframe and integration contexts

● Partner with DevOps, architects, and management to track adoption and optimize AI utilization across projects

● Serve as the internal expert for GitHub Copilot and related AI dev tools, piloting new features, and best practices

we are looking for a Enterprise Professional Services Engineer.
As an Enterprise Professional Services Engineer, you are the technical architect and relationship lead for our most strategic global accounts. You own the technical success of the customer journey, focusing on Solution Design and the Integration Strategy required to make the heart of a modern IT stack.
This is a high-impact role for a consultant-engineer hybrid. You will be expected to leverage deep API architecture knowledge, advanced scripting, and creative problem-solving to design bespoke solutions that bridge the gap between and complex enterprise ecosystems. You are the "Bridge" between business requirements and technical reality.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are looking to hire a Senior QA Automation Engineer to join our team at this exciting stage of our companys growth. What You’ll Do Architect & Build: Lead the design of automation frameworks focusing on Component Testing and E2E flows Cloud Integration: Orchestrate automated test environments that deploy our services onto AWS using Docker (and ideally K8s Pipeline Ownership: Fully integrate test suites into our GitHub Actions CI/CD pipelines. Strategy & Mentorship: Create comprehensive test plans and mentor junior/mid-level team members on automation best practices. API Excellence: Maintain and expand our Rest Assured API automation suite.