לוח משרות דרושים הייטק תוכנה משרה מלאה

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

Required Backend Software Engineer- Platform
As part of the role you will have the opportunity to:
Be part of team responsible for designing and implementing our next generation on-premise component that facilitates communication with our customer's IoT devices - a.k.a the native connector
Help develop & maintain the underlying infrastructure that enables scalable , cost-efficient & secure communication between our cloud-native platform and the Network components & IoT devices that reside on-premise
Research & develop features that allow remote management of components that reside on premise
Help develop & maintain our IoT agent-based embedded software solution that is deployed directly onto the IoT edge devices
Research & develop integration with various external 3rd party solutions in a cloud-to-cloud and cloud-to-on-premise formations using a variety of APIs, including REST, SDKs, and other network protocols
Develop new backend services in micro-service architecture and cloud-native best practices
Guide and mentor team members
Troubleshoot and resolve technical issues, ensuring seamless operation of our services & integrations.

Required Senior Backend Engineer
As part of the role you will have the opportunity to:
Research, design, maintain and develop core data infrastructure components
Analyze and optimize system performance, scalability, reliability, and data quality across a rich technology stack (Apache Kafka, Airflow, Storm, SQL/NoSQL databases)
Architect, design, and implement robust, performant distributed data systems (streaming and batch processing).
Collaborate with cross-functional teams to integrate data pipelines with AI/ML workflows and production monitoring systems.
Mentor and guide junior engineers, defining technical best practices and driving continuous improvements.
Work in a fast-paced startup environment, managing multiple priorities while maintaining high code quality and operational excellence.

The Opportunity We are starting a new ML/AI organization directly reporting to the CTO, to pioneer next-generation capabilities for our industry-leading defense systems. As a Founding ML-Engineering Lead, you will be the technical cornerstone of this initiative. This is a high-impact role designed for a practitioner who seeks total technical ownership of the machine learning lifecycle. You will be responsible for taking novel AI projects from initial concept through data collection, design, implementation, and evaluation, all the way to deployment.

The Technical Challenge Our ML initiatives span a diverse technical landscape. You will lead projects that range from field-oriented applications, where high accuracy and reliability are paramount, to research-oriented tools and agentic workflows designed to enhance our R&D capabilities and accelerate complex data analysis. Working in deep collaboration with our R&D teams, you will leverage unique, proprietary data to solve problems at the forefront of the counter-drone industry.
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

We are seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.
Responsibilities:
Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.

We are looking for a .NET developer to join our fast-growing Acquiring dev team. You will report to the ACQ Integration Team Leader and play a key role in enhancing the Acquiring system by developing innovative new features, contributing to our teams ongoing success and growth.
Responsibilities:
Participate in all aspects of software development, including designing, hands-on coding, implementing, debugging, deployment, and troubleshooting
Accountable for overseeing the complete lifecycle of new product features and components from inception to deployment
Provide mentorship for other team members
Conduct code reviews
Be a source of knowledge for the team members regarding the technical and business aspects of the daily work
Assist the team leader in any way that is required, including leading feature development and providing guidance for other team members
Define and enforce coding standards.

We are always looking for exceptional talent to join us on the journey!
Your Mission:
As an MLOps Engineer, your mission is to design, build, and operate the platforms that power our machine learning and generative AI products spanning real-time use cases such as large-scale fraud scoring, MCP & agentic workflows support. Youll create reliable CI/CD for models and Agents, robust data/feature pipelines, secure model serving, and comprehensive observability. You will also support our agentic AI ecosystem and Model Context Protocol (MCP) services so that models can safely use tools, data, and actions across.
You will partner closely with Data Scientists, Data/Platform Engineers, Product, and SRE to ensure every model from classic ML to LLM/RAG agents moves from prototype to production with strong reliability, governance, cost efficiency, and measurable business impact.
Responsibilities:
Operate & Develop ML/LLM platforms on Kubernetes + cloud (Azure; AWS/GCP ok) with Docker, Terraform, and other relevant tools
Manage object storage, GPUs, and autoscaling for training & low-latency model serving
Manage cloud environment, networking, service mesh, secrets, and policies to meet PCI-DSS and data-residency requirements
Build end-to-end CI/CD for models/agents/MCP tooling (versioning, tests, approvals)
Deliver real-time fraud/risk scoring & agent signals under strict latency SLOs.
Maintain MCP servers/clients: tool/resource definitions, versioning, quotas, isolation, access controls
Integrate agents with microservices, event streams, and rule engines; provide SLAs, tracing, and on-call runbooks
Measure operational metrics of ML/LLM (latency, throughput, cost, tokens, tool success, safety events)
Enforce governance: RBAC/ABAC, row-level security, encryption, PII/secrets management, audit trails.
Partner with DS on packaging (wheels/conda/containers), feature contracts, and reproducible experiments.
lead incident response and post-mortems.
Drive FinOps: right-sizing, GPU utilization, batching/caching, budget alerts.

We are looking for a driven and ambitious Business Development Representative (BDR) to join our growing sales team.

As the first point of contact with prospective customers, you will play a key role in building pipeline and driving company growth. This role combines inbound and outbound work, sharp discovery skills, and close collaboration with Account Executives and Marketing.

You will be selling a sophisticated, technical SaaS product to engineering and cloud leaders - a solution that delivers immediate and measurable value.

This is an excellent opportunity for someone who wants to develop strong sales fundamentals in a high-impact, fast-growing environment.

Your ownership will include:
Build pipeline from scratch by reaching out to high-value target accounts via calls, email, and LinkedIn.
Qualify inbound leads and convert interest into high-quality, sales-ready meetings.
Lead focused discovery calls with engineering, DevOps, and cloud leaders to understand pain points and identify fit.
Open doors to strategic accounts and create momentum for the sales team.
Work closely with Marketing and Account Executives to refine messaging and improve conversion rates.
Own your performance metrics and consistently meet or exceed activity and pipeline targets.

We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role: leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions.

Responsibilities
Lead and mentor a team of DSP software engineers - developing DSP and AI SW libraries and supporting the architecture definition of architectures of DSP and AI processors.
Collaborate with the compiler and simulator teams to ensure efficient tools development and deployment.
Drive technical excellence through code reviews, design discussions, and continuous improvement.

our companys innovative processors are designed into the advanced cellular systems of most tear-1 carriers .
We are looking for an experienced and creative Verification Engineer to join our Processor Verification Team.
In this role, you will be responsible for verifying the core units of our next-generation processors. You will work closely with the architecture and design teams to ensure functional correctness through advanced verification methodologies, taking ownership of verification environments from planning to coverage closure.

We are seeking an experienced C++ Developer with a strong background in building sophisticated systems to join our innovation group. This role focuses on developing a Browser Detection and Response (BDR) System aimed at enhancing browser security for users worldwide.
Key Responsibilities:
Design, develop, and maintain new complex C++ features with an emphasis on chromium browser security and internals.
Collaborate with teams across the world for productization
Contribute to the innovation and enhancement of security features within browser technologies.
Why Join Us:
Work on projects impacting billions of users.
Collaborative and innovative environment.
Competitive salary and benefits.
Flexible Hours - Full or part-time, ideal for students!

Define the AI core architecture that will shape the next generation of AI chips, leading the global competition in AI computing power. As a key contributor to the competitiveness of AI core architecture, we drive chip architecture innovation starting from algorithm evolution, building a full-stack closed-loop capability of "algorithm-architecture-circuit-system," and creating a globally leading, independently controllable AI accelerator core to support the Ascend AI ecosystem and the implementation of large model strategies.
Responsibilities
Lead next generation inference solution optimized for power, performance and area. Considering scalable solution for large scale systems with many resources. Covering efficient data delivery and workload map.

Required Senior Backend Engineer- XP Platform team
What youre applying for
We're building the Experience Platform that powers everything - the backbone that lets our teams ship fast, scale seamlessly, and focus on creating incredible experiences for millions of customers. As a Senior Backend Engineer, you'll architect solutions that make other developers' lives easier while pushing platform boundaries. You'll own our chat service that handles onboarding flows for every customer.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Own platform services that let product teams ship features in days, not weeks
Build TypeScript/NestJS microservices that handle millions of customer interactions on Kubernetes
Partner with product teams to deliver the infrastructure they need to move fast
Level up our development experience using autonomous tools that handle everything from environment setup to production deploys
Lead architectural decisions that impact how we build, deploy, and scale products company-wide
Collaborate across product, design, and data teams to bring complex features from concept to launch
Drive platform reliability improvements that directly impact customer experience.

We are a highly experienced architecture group specializing in switch processing, with deep expertise in both hardware and software architecture in the high-speed networking domain.
Our innovative packet processors power some of the most advanced data centers in the world and are designed into tier-1 vendor platforms. With state-of-the-art technology, a strong track record of industry recognition, and multiple award-winning achievements, we continuously push the boundaries of performance and scalability.
Our group is involved across the entire development lifecycle - from early research and architectural definition to silicon production - working on both research initiatives and production-grade products.
our Impact
As HW Architect Team Leader, you will combine deep technical leadership with people leadership. You will shape next-generation networking silicon while building and mentoring a strong architecture team.
What Youll Be Doing
Lead, manage, and mentor a team of HW architects, fostering technical excellence and innovation.
Drive research, evaluation, and architectural definition of next-generation SoCs - from product requirements through production.
Define next-generation Packet Processor / Datapath / Congestion Management architectures for high-performance, complex SoC Ethernet and NIC switches.
Lead system architecture and detailed micro-architecture definition across major functional blocks.
Collaborate cross-functionally with design, verification, modeling, software, and other architecture teams to ensure end-to-end system alignment.
Identify and evaluate new technologies, methodologies, and architectural approaches for future products.
Provide technical direction, make key architectural trade-offs, and ensure execution excellence.