לוח משרות דרושים

our company is at the forefront of the ai revolution, delivering latest accelerated compute platforms for global impact. our networking research group is seeking a forward-thinking engineering manager with a product leadership approach to manage a team of software engineers, ai agent developers, and researchers.
in this role, you will bridge the gap between brand-new ai research and practical engineering. you will lead the charge in integrating autonomous ai agents into the daily workflows of our architects, hardware designers, and researchers. you will be responsible for understanding internal engineering bottlenecks, researching the latest academic and industry advancements, and translating them into deployed production tools using nvidias ai stack.
what you'll be doing:
team leadership & strategy: lead and mentor a mixed team of SW engineers and researchers, balancing the agility of research with the responsibility of production software engineering.
product engineering: partner with internal engineering teams (hardware, architecture, research) to analyze their workflows, identify friction points, and architect agentic ai solutions to accelerate their work.
applied research: actively monitor the latest ai trends, academic papers, and technical blogs (llms, agents, rag). translate these insights into concrete features and tools for the team.
agent architecture: be responsible for the design of scalable frameworks for ai agent interaction, ensuring they can reason, plan, and orchestrate tasks within complex engineering environments.
sw-focused mlops: define and implement the software lifecycle for ai models - from fine-tuning to deployment - utilizing our ai deployment tools and ensuring seamless ci/cd.
production deployment: ensure reliable operation of agent fleets, optimizing for latency and resource consumption while maintaining security and access controls.

Your Role:
Serve as the primary technical authority and mentor for the team, providing expert guidance, performing code reviews, and setting the bar for engineering excellence.
Partner closely the leadership team to define and evolve the architecture of our end-to-end OT solution, spanning from network data collection to complex on-prem and cloud deployment scenarios.
Own architectural decisions and drive critical tech choices that ensure system scalability, reliability, and seamless integration with the broader our company product suite.
Lead the systems evolution by shaping the target architecture and integrating AI-driven capabilities and advanced analytics to proactively identify network threats and failures.
Leverage complex cross-domain data and metrics to drive product performance and stability improvements.
Lead technical initiatives and discussions across Backend, Frontend, and other teams to ensure high-quality software delivery.
Collaborate with cross-functional partners, including product management and design, within an Agile environment to shape and deliver new features.

Required Senior Software Engineer, Platform
About The Position:
We are architecting a new approach to the enterprise data stack built for the age of reasoning. We set the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.
We are pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.
What youll be doing:
As our new Senior Software Engineer, youll be joining the Platform group. This group of highly-experienced and detail-oriented engineers proudly owns the network stack, storage stack, task scheduling infrastructure and more.
As a Senior Software Engineer, youll:
Play an active role in creating jaw-dropping designs, writing impressively efficient code, and conducting collaborative code review;
Share fresh ideas and architectural guidance for our core areas of distributed computing, high-performance storage, and cloud computing; and
Challenge our benchmarks with performance testing around IO and storage throughput.

We are actively seeking a highly skilled Senior Software Engineer to join our dynamic team. This role is pivotal for a professional who specializes in designing and building scalable, cloud-native, multi-tenant SaaS infrastructure and backend systems.

Your primary responsibility will be to architect and develop robust backend services, high-throughput data pipelines, and scalable microservices. While your core focus will be on the backend and cloud infrastructure, you will take ownership of the full feature lifecycle-which includes a strong willingness to develop and maintain clear, efficient client-side interfaces to deliver complete end-to-end solutions.
Responsibilities:
End-to-End Ownership: You will take full ownership of the software lifecycle-from architectural design and backend coding to automated deployment and production monitoring. You will champion a 'You Build It, You Run It' culture, ensuring the high availability and observability of our multi-tenant SaaS environment.
Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry.
Full-Stack Delivery: Seamlessly transition to front-end development (React) when required, ensuring the backend infrastructure connects smoothly to a streamlined and user-friendly web client.
Automation & CI/CD: Drive feature delivery using Agile methodologies, replacing manual handovers with automated CI/CD pipelines that ensure seamless integration and validation from development to production.

our networking software group is rapidly growing, and we are hiring software engineer 's for the ethernet switch sdk development team. come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovative and develop groundbreaking solutions. the sdk enables our customers to build state of the art datacenter switch/router software solutions over our spectrum family of asics. the scope of these efforts include a combination of crafting and implementing new solutions, defining open-source apis, performance analysis and tuning across multiple product lines. teams utilize the latest software engineering methodologies and tools to release on time. are you ready for this challenge?
what youll be doing:
design, develop, optimize and maintain apis, tools and libraries for switching, routing, analytics, telemetry and more.
collaborate with team members, architects, QA teams, and customers (both external and internal)
innovate & rapidly develop poc prototypes that can then be developed into full fledged products/solutions

our company is looking for an experienced hpc DevOps and Network Engineer to help us build the supercomputers and hpc clusters of the future. as a senior hpc DevOps engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and gpu computing. your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. you will work with the latest accelerated computing and deep learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. you will interact with hpc, os, gpu compute, and systems specialist to architect, develop and bring up large scale performance platforms.
what youll be doing:
innovate and implement: design, implement, and maintain large-scale hpc/ai clusters with state-of-the-art monitoring, logging, and alerting systems.
infrastructure as code (iac): utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
streamline ci/cd pipelines: develop and maintain continuous integration and continuous delivery (ci/cd) pipelines to automate and streamline deployment processes.
automate everything: develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
develop complex networking automations.
troubleshoot complex issues: perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
lead and educate: serve as a technical resource, developing and sharing best practices with internal teams.
drive innovation: support r&d activities and engage in proof of concepts (pocs) and proof of values (povs) for future improvements.

It starts with you - an engineer driven to build resilient, automated infrastructure that enables teams to move fast with confidence. You care about operational excellence, developer experience, and reliability at scale. Youll architect and operate the compute and networking infrastructure that powers our AI platform - from CI/CD pipelines to Kubernetes clusters to observability systems - across cloud and on-prem environments.
If you want to build infrastructure that powers mission-critical AI systems at national scale, join our companys mission - this role is for you.
The Responsibilities
Architect and operate Kubernetes-based infrastructure across AWS and on-prem environments, ensuring high availability, security, and performance.
Design and maintain CI/CD pipelines for application and service deployments with automated testing, security scanning, and rollback capabilities.
Drive infrastructure-as-code practices for compute and networking - building reproducible, auditable, and version-controlled infrastructure.
Own reliability and incident response - establish SLOs, build alerting systems, lead incident resolution, and drive post-incident improvements.
Enable AI-native operations - support agentic deployment pipelines, self-healing infrastructure, and secure sandboxing for model experimentation.
Build and maintain observability systems - metrics, logging, tracing, and dashboards that provide visibility into system health.
Optimize infrastructure cost and performance - right-size resources, implement auto-scaling, and identify efficiency opportunities.
Collaborate with Engineering, Data Platform, Data Engineering, and Security teams to align infrastructure with platform needs.
Shape infrastructure characteristics that support data freshness, correctness, and low-latency pathways for AI training/inference, retrieval, and agentic workflows.
Contribute paved-road tooling - reusable CI/CD patterns for services, IaC modules for compute and networking, and runbooks - that streamline delivery across teams.
Collaborate with Engineering, Data Platform, Data Engineering, Security, Product, AI/ML, Data Science, and Analytics to anticipate and meet cross-functional needs.

We're on a mission to redefine vehicle safety and reliability globally. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, which represents the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek an experienced technical leader to lead our MLOps Engineering team leader In this role, you will lead a team of developers and build and maintain our Machine Learning infrastructure and deployment pipelines. This role combines technical expertise in Machine Learning operations with strong leadership abilities to guide our team of engineers in delivering scalable ML solutions.
A day in the life and how youll make an impact:
* Build, recruit, and lead a team of backend engineers.
* Architect and implement enterprise-scale MLOps infrastructure
* Code ML Infrastructure & Framework for Agile ML Lifecycle, MLOps, and CI/CD.
* Design and optimize model-serving architectures
* Ensure high availability and scalability of ML systems
* Collaborate with Algorithm Engineers to deliver innovative solutions.
* Partner with product teams to align ML solutions with business objectives
* Communicate technical plans and progress to stakeholders
* Establish and enforce MLOps standards and best practices

We are looking for a DevOps 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 Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

We are looking for a talented Full stack Engineer with a strong backend and UI orientation and exceptional skills to join our Harmony SASEs forefront team, which building cutting-edge, large-scale solutions that redefine cloud security and network management.
Job Id: 22645
As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient fullstack systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!
We are a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.
Key Responsibilities
End-to-end features development including research, design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, Architects and Software Engineers to deliver the best product to our customers.

Lead the tech behind one of Israel’s fastest-growing companies. At Kendago, highly stable and profitable company, we’re not just running ads — we’re building a game-changing tech product that gives our marketing teams a serious edge. It’s a smart, insight-driven optimization platform that analyses tons of ads data and turns it into real-time recommendations and insights for publishers. We’re looking for a passionate and proactive Software Team Leader to head a backend-focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code. You’ll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions. This is a hybrid position, including two to three work-from-home days per week , with flexibility based on team and individual needs. Our Office is located in Kiryat Ono.

Responsibilities:

* Lead a full-stack team working on our proprietary optimization platform Architect and build high-scale, data-centric web systems
* Be a hands-on leader : code when needed, unblock, mentor, and push forward
* Collaborate with product managers who work hand-in-hand with our performance teams.
* Balance rapid delivery with long-term architecture and stability

Biz Dev:
R&D

Remote/Part time:
Hybrid

The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

Required Lead Software Engineer - AI Workspace
job requisition id JR105397
About the Role
We are seeking a Lead Software Engineer to join the AI Workspace team. You will lead the technical aspects of developing AI-powered automation capabilities, working closely with the Engineering Manager and Product Managers. This is a hands-on leadership role where you'll architect and implement agentic AI systems that integrate with enterprise testing platforms.
What You'll Do:
Lead technical design and implementation of AI agent architectures and agentic workflows
Develop and extend our MCP (Model Context Protocol) integrations connecting AI agents to enterprise tools (Jira, Confluence, GitHub, etc.)
Design multi-tenant, production-grade AI systems with proper observability, caching, and resilience patterns
Build and maintain Agent-to-Agent (A2A) communication protocols
Collaborate with PMs to translate product requirements into scalable technical solutions
Mentor team members and drive engineering best practices (code reviews, testing strategies, documentation)
Contribute to architectural decisions.

We are looking for an experienced DevOps Team leader to join our growing R&D department of the DatAdvantage Cloud. We are looking for someone who treats our internal infrastructure, CI/CD pipelines, and Kubernetes clusters as actual products. This means caring about the developer experience and ensuring that the tools we build are intuitive, reliable, and that they solve real problems for our R&D teams.
In this managerial role, you will lead a team of experienced DevOps engineers responsible for various aspects of our cloud platform.
Responsibilities:
Lead and mentor a growing team of highly skilled cloud DevOps engineers
Full responsibility on a scrum team, including hiring and mentoring of new team members.
Collaborate with various engineering teams on designing and implementing new features for our cloud platform.
Oversee the implementation of applications, integrations, and interfaces across our web ecosystem.
Fully automate critical system processes to improve service performance, monitoring, scalability, and overall stability of our cloud platform.
Refine our continuous integration/continuous delivery (CI/CD) process to streamline deployment and product release cycles.
Roll out a standardized approach to cloud security.
Act as a Cloud Solution Architect for our R&D department, and as an expert consultant on cloud-native architectures that consider product architecture, business needs, security, and FinOps.

we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust our company to help secure their most critical assets. the mission
we are the platform engineering devex group, the engineering force responsible for the internal Developer platform. we are evolving from a generalist model to specialized pillars, and we are looking for a Python -centric platform engineer to join a Developer experience team.
in this role, you won't just "support" developers-you will build the products they use every day. you will treat our internal platform as a saas product, focusing on the " frontend of DevOps ": self-service portals, automations, and dora metrics. job description
what you will do
champion the internal Developer portal (idp): lead the architecture and development of our idp. you will build the central hub where r&d teams interact with our infrastructure, transforming complex cloud operations into intuitive UI experiences. engineer the "golden path": design and implement self-service backend logic using Python and apis. you will write the plugins that allow developers to scaffold new microservices, provision cloud resources, and manage permissions without waiting for ops tickets. drive engineering insights (dora & scorecards): go beyond basic logging by building "service maturity scorecards." you will aggregate data from github, jira, and artifactory to visualize dora metrics (deployment frequency, lead time, etc.), giving leadership and teams actionable data on their velocity and quality. architect resilient ecosystem integrations: write production-grade, testable Python code to "glue" our toolchain together (kubernetes, github, launchdarkly, artifactory). you will replace manual "ticketops" with event-driven automation that runs silently in the background. treat the platform as a product: collaborate directly with r&d teams to identify friction points in their daily workflows. you will gather feedback, prioritize features, and drive the internal adoption of the tools you build to ensure they solve real user problems.