לוח משרות דרושים מהנדסים

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
As a core member of the Professional Services team, you will
Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
Deliver customer classroom-based training to architect, developer and operations roles
Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
Cultivate your individual reputation as a trusted advisor to guide and our customers into the future
Partner with Product and Engineering teams to influence the direction of the product roadmap

What Were About
we are a fast-growing startup at the forefront of application security. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the AppSec space, were shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
About the Team
Our team is at the forefront of agentic AI - both within our company and across the broader Application Security space. We lead the development of AI-powered, agentic security capabilities within our ASPM product, driving innovation from early experimentation all the way to production, deployment, and continuous monitoring.
As a cross-functional team, we specialize in turning cutting-edge Machine Learning, Data Science, and agentic AI into scalable, real-world solutions that power our companys platform.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

What Were About
we are a fast-growing startup at the forefront of application security. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the AppSec space, were shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
What you will do
Release & hotfix management - Create and coordinate manual releases and hotfixes; build and publish release versions; maintain a centralized release calendar and manage release risk, quality and schedule.
Daily operations & syncs - Lead daily production sync meetings and act as the cross-team release/incident liaison across R&D, QA and DevOps.
Incident ownership - Own the incident.io platform (day-to-day configuration, runbooks, training for R&D, and status pages), run incident lifecycle activities, and drive post-mortems and RCAs for production bugs and outages.
Monitoring & alerting - Manage and maintain Grafana dashboards and alerting rules; respond to and triage alerts from Grafana and GCP (Cloud) monitoring; work with teams to reduce false positives and improve signal-to-noise in alerts.
On-call & incident triage - Participate in on-call rotations and act as escalation point for production issues; perform structured troubleshooting to mitigate issues and reduce MTTR.
Post-incident process - Lead post-mortems, own follow-up actions, and ensure lessons learned are integrated into process and tooling (e.g., smoke tests, cache clearing, alerting improvements).
Process & automation - Drive improvements to CI/CD, release automation, and production runbooks; help orchestrate IaC and deployment tooling to reduce manual risk.

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 our company 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 our company and complex enterprise ecosystems. You are the "Bridge" between business requirements and technical reality.
Key Responsibilities
Integration Design & Scripting Excellence
Architect Integration Solutions: Lead the technical design of complex integrations using REST APIs and webhooks to seamlessly connect our company with enterprise stacks such as ServiceNow, Salesforce, Okta, and Azure.
Advanced Automation Scripting: Utilize PowerShell and Python to automate complex IT workflows, data migrations, and system synchronizations tailored to enterprise security and compliance standards.
Technical Strategy: Design end-to-end migration paths for Enterprise customers, moving them from legacy infrastructure to a modern, AI-first our company environment.
AI-Driven Workflows: Design and implement AI-driven automation logic that reduces manual overhead and optimizes operational efficiency for global IT teams.
Relationship & Project Leadership
Lead the Relationship: Serve as the primary technical point of contact, managing stakeholder expectations and translating high-level business goals into technical solution blueprints.
Project Execution: Own the full project lifecycle from a leadership perspective-ensuring on-time delivery, technical validation, and a "white-glove" customer experience.
Global Travel: Travel abroad up to 25% of the time to conduct on-site architectural workshops, lead high-stakes deployments, and build face-to-face rapport with strategic partners.
Communication
English - High proficiency: You must be able to present complex technical architectures to C-suite stakeholders with clarity, authority, and professional polish.
Solution Documentation: Produce high-quality architectural diagrams, technical implementation guides, and API mapping documentation.

we are looking for a QA and Automation Engineer.

We are a multi-national SaaS company focused on creating and supporting innovative telecommunication solutions for Businesses. We are looking for a great Technical support specialist with Hebrew to join our team. Someone that loves to find and present solutions to our clients and that gets excited by new technologies.
our company provides Businesses on a global scale with cloud-based call center and AI driven predictive dialer solutions, multi-channel messaging systems and integrations to 100's of apps and CRM. Cross-channel communication is fully integrated with multiple CRM, all built cloud-native.
What your essential role in the team will be:
Handling customer requests in a professional customer-oriented approach through our different support channels
Working on Level 1 with the possibility to ramp up to Level 2 or 3 rapidly
Working in a cross-functional environment along with other departments
Analyzing and listening to call logs, spotting common trends and underlying problems
Updating frequently asked questions so that the customers/employees will be able to fix problems by themselves
Configure Sip phones on Windows, Linux, and mobile OS
Set up new user accounts and profiles and deal with password issues
Diagnosing software faults or Communications errors.

We are looking for a skilled and experienced Integration Specialist to join our team. In this role, you will take full ownership of designing, building, and delivering end-to-end system integrations - from initial client discovery through to go-live and ongoing support. You'll work closely with clients and internal teams to ensure seamless connectivity between platforms, with a strong focus on reliability, scalability, and communication.
Key Responsibilities
Design and build robust inter-system integrations across a variety of platforms and APIs
Develop and maintain integration flows, including data mapping, transformation logic, and error handling
Write supporting scripts and automation tools using Python, JavaScript, and/or PHP
Lead the full integration lifecycle - from requirements gathering and technical scoping through to implementation, testing, and handoff
Serve as the primary technical point of contact for clients throughout the integration process
Translate business requirements into clear technical specifications and deliver accordingly
Troubleshoot and resolve integration issues proactively and efficiently.

We are hiring Senior and Staff ML Engineers that sit within Safety Systems / autonomy organisations, building critical behaviours for Level 2 to level 4 driving. It is highly product-focused: you will train and iterate on end-to-end driving models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan MVP). You will join a small, high-ownership teams at the point of rapid growth, where execution and real-world outcomes matter.
Key responsibilities
Develop the AI driver model architecture and training algorithms to introduce and enhance the safety behaviors for L2/L3/L4
Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning.
Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training.
Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles.

we are looking for a DevOps Software Engineer.
As a DevOps Software Engineer , you won't just be maintaining systems; you'll be a key player in enabling the future of retail. Your work will directly impact how smoothly our stores operate worldwide. Imagine deploying software updates that instantly improve the shopping experience for thousands of customers. You'll be part of a collaborative team, working on challenging problems like:
Developing solutions that allow to efficiently and rapidly deploy to numerous stores globally. (We're constantly expanding!)
Ensuring our edge and cloud infrastructure is robust and reliable, handling the real-time data from our AI systems.
Troubleshooting complex issues across our distributed systems, working closely with software and operations teams.
Your contributions will directly support growth and success, and you'll have the opportunity to see your work make a tangible impact..
Our tech stack includes (but not limited to): Go, Python, Rust, Terraform, Ansible, Helm, GCP, Azure, Kubernetes, ArgoCD, Octopus Deploy, Github Actions.

we are looking for a Site Reliability Engineer.
Role Responsibilities:
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

Review and analyze system specifications and requirements to create and update comprehensive test case documentation (STD, STP).
Perform manual testing for special on-demand flows, ensuring thorough coverage and effectiveness..
Validate that new features are tested to meet acceptance criteria and align with quality standards.
Collaborate with a cross-functional R&D team using scrum methodology, contributing actively to continuous improvement initiatives
Read and analyze logs to identify issues, trends, and escalation points.
Provide reports on progress, testing outcomes, and quality metrics to stakeholders, ensuring transparency and communication throughout the testing process.

Were building agentic AI for real-world CX. As an AI Engineer at our company, youll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.
What youll do
Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
Ensure high performance, reliability, and data security across production workloads.
Deploy and manage applications on modern cloud environments (AWS / GCP)
Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

Join our company as a Senior Full Stack Engineer and help architect our Agentic AI System. Youll be responsible for building the entire lifecycle of our product-from high-performance Node.js services on AWS to polished, real-time React experiences that make AI feel human.
In this role, you will bridge the gap between complex AI logic and intuitive user interfaces. Youll have a seat at the table to influence our technical foundation, backend architecture, and product direction as we scale AI-native customer experiences to millions of SMBs.
What youll do
End-to-End Ownership: Build and maintain scalable, performant web and mobile applications using React, TypeScript, and Node.js.
Architect for Scale: Design and implement robust backend services and APIs on AWS to support real-time, agent-driven features.
AI Integration: Collaborate with AI engineers to integrate sophisticated LLM orchestrations and live customer interactions into a seamless product experience.
Foundation Building: Shape the architecture, standards, and CI/CD pipelines of our companys full-stack systems.
Product Craftsmanship: Partner with product and design to craft highly polished, intuitive, and delightful user experiences from the database to the UI.
Technical Leadership: Champion best practices in system design, performance, security, and code quality.

we are looking for a Technical Support Engineer.
As a Technical Support Engineer you will
Respond promptly and professionally to customer inquiries via phone, email, or chat, providing technical support and troubleshooting assistance.
Work to meet and exceed internal and external SLAs
Identify and diagnose software issues, and guide customers through step-by-step resolutions.
Escalate complex technical issues to higher-level support teams when necessary, ensuring proper documentation and follow-up.
Assist customers with product installations, configurations, and updates.
Collaborate with cross-functional teams, including developers and engineers, to address customer concerns and provide effective solutions.
Document and maintain records of customer interactions, inquries, comments, and actions taken, utilizing the ticketing system.
Provide proactive customer education and self-help resources to reduce repetitive inquiries and improve customer satisfaction.
Collaborate with the Quality Assurance team to identify and report software bugs and usability issues.
Help develop and implement support methodologies, build workflows and define support operations
Gather customer feedback and share it with QA, R&D, Engineering, and Production teams.
Strive for best-in-class support experience and drive exceptional CSAT results
Stay up-to-date with product knowledge, industry trends, and technology advancements to provide accurate and efficient support.

We are looking for a hands-on ETH SerDes Validation Engineer to lead and execute 112G and next-generation 224G SerDes validation activities.
The role involves deep lab work with Keysight test equipment, automation development, and direct execution of compliance and characterization tests according to industry standards.
This position is ideal for an engineer who combines strong signal-integrity fundamentals, standards expertise, and automation-driven validation in high-speed silicon and system environments.
Key Responsibilities
Perform end-to-end validation of 112G / 224G SerDes PHYs at silicon, package, and system levels
Execute compliance, characterization, and stress tests for high-speed serial links
Operate and configure Keysight high-speed test equipment, including:
BERTs, oscilloscopes, AWGs, jitter sources, channel emulators (variable ISI)
Develop and maintain automation frameworks for SerDes validation:
Test setup control
Data collection
Result analysis and reporting
Python
Shell scripts under Ubuntu
SQL skills for data analysis
Execute and analyze:
Eye diagrams, jitter (RJ/DJ/TJ), BER, bathtub curves
CTLE/DFE behavior
TX FIR optimization
Channel loss and margin analysis
Debug signal-integrity issues across:
Silicon
Package
PCB
Connectors and cables
Work according to industry standards, including:
IEEE (112G / 224G PAM4)
Ethernet (802.3ck / 802.3db and beyond)
Collaborate closely with:
Design teams (SerDes / PHY)
SI/PI engineers
System and board design teams
Document test methodologies, results, and recommendations clearly.