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We are looking for a NPI Configuration Engineer to join our team. The NPI Configuration Engineer will be responsible for leading new product introduction projects and ensuring a successful transition from development to manufacturing.

Your Day to Day
Own all engineering documentation: drawings, BOMs, work instructions, PNs
Manage engineering change processes (ECOs, MCOs, product revisions) end-to-end
Maintain data integrity in PDM/PLM and ERP systems (Priority, SolidPDM - advantage)
Drive new product introduction (NPI) from design to small-scale and mass production (including DFM/DFA/DFT, vendor support, and configuration control)
Participate in design reviews and support risk mitigation during development
Identify opportunities and lead cost reduction initiatives

Space Systems Development Manager We are seeking an experienced Space Systems Development Manager to lead the development of advanced space systems from concept through delivery.
Responsibilities:
Lead multidisciplinary teams across systems, software, and hardware
Manage end-to-end development, including requirements, design, integration, and validation
Drive system architecture and ensure successful delivery.

We are currently seeking a Senior FPGA Engineer to join one of our trading teams. While our company has been leveraging FPGA technology for a number of years, you will have the opportunity to build an FPGA application from scratch for an existing team. Were seeking a candidate that has a strong understanding of software and hardware interaction. This person will participate in the full development lifecycle, including system and block level testing, of low latency high throughput FPGA design.
Responsibilities:
Architect and implement new FPGA applications (synthesis, place & route, static timing analysis, documentation) from the ground up
Research and evaluate a variety of cutting-edge FPGA hardware and technologies
Propose creative solutions to overcome FPGA/hardware limitations
Liaise directly with software and other design teams
Conduct lab debugging and characterization of new hardware.

we are looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. our company office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.
As a Machine Learning Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing. You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
Build infrastructure for running Machine Learning algorithms on big data.
Optimize Machine Learning algorithms to run under latency constraints.
Parallelize Machine Learning algorithms to run on a parallel compute grid.
Build software for data acquisition and cleaning that can handle hundreds of terabytes of data.
Build data visualization tools for feature exploration and model verification.
Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods.
As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance.

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 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.

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.

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 Senior Frontend Engineer to join our Analytics team. This is a hybrid role based in Israel, reporting to the Manager, Software Engineering.
Youll thrive on turning deep analytical challenges into elegant, simple user experiences by mastering our powerful semantic layer and customer use-cases. Our team creates the lens through which customers explore their data, empowering security experts with intuitive tools that transform complex information into clear, actionable insights.
What youll do (Role Expectations):
Architect and develop user interfaces for our Analytics platform using React and TypeScript
Build efficient, reusable, and scalable frontend features that leverage our semantic layer and data infrastructure
Lead technical design and development cycles from concept through to production
Partner closely with UX designers, product managers, and other engineers to bridge the gap between technical power and user experience
Drive the evolution of our frontend stack by researching and applying new technologies and best practices

We are seeking a Senior Data Engineer to join our R&D organization as part of a backend-oriented team, responsible for building and scaling the core data infrastructure.
In this role, you will design and develop data pipelines that stream and process data directly from production systems. You will play a key role in shaping our data platform, building robust, scalable infrastructure and pipelines using modern technologies, and working hands-on with both new components and existing systems.
Responsibilities
Collaborate as a strong team player within a dynamic, cross-functional environment
Design, develop, and maintain scalable data models, Lakehouse architectures, pipelines, and ETL processes
Enhance data workflows to support efficient real-time and batch processing
Work closely with cross-functional teams to understand data requirements and deliver impactful solutions
Stay up to date with the latest data engineering technologies and best practices, continuously improving our data platform.

We are looking for an ML Engineer / MLOps Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.
You will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle management-the foundation of our product.
Responsibilities:
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.
End-to-end ML delivery - enabling model performance development, training, validation, testing, and version control.
Build and support monitoring and observability tools - dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as: Feature Store, Vector / Graph Databases.
Data wrangling - supporting and enabling data requirements for research, training, validation, and testing.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.