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we are looking for a Senior Full Stack Developer
Responsibility
Plan, implement, and take full ownership of core features, ensuring the successful completion of the entire development cycle from design to deployment
Lead architectural decisions and create comprehensive implementation plans to ensure scalable and secure feature delivery.
Orchestrate parallel development streams to maintain high velocity across multiple branches and complex pull requests.
Drive technical excellence by proactively exploring and sharing new technologies, AI tools, and libraries to continuously improve code quality, build performance, and system scalability.
Collaborate with cross-functional teams to contribute to high-level system design and product strategy.
Create and integrate user interfaces from scratch, ensuring intuitive, high-performance, and responsive designs.
Contribute to back-end logic in NodeJS servers and monitor/fix production issues as they arise.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and us. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to go beyond the numbers and understand how our users interact with our growth products
Work as a key member of the product team to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions and product launches in partnership with Product, Engineering, and cross-functional teams
Set KPIs and goals, design and evaluate experiments, monitor key product metrics, understand root causes of changes in metrics
Exploratory analysis to discover new opportunities: understanding ecosystems, user behaviors, and long-term trends Identifying levers to help move key metrics.

We are excited to announce that the team is undergoing rapid growth, and we are looking for a C++ Software Developer.
Your Impact:
Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed

We are looking for exceptional engineers to join the top-tier team developing the next generation semiconductor platform based on a revolutionary architecture. You will participate in design activities, working on the next generation of our products.

As a Chip Design Engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities:
* Full ownership of one or more IPs within the product:
-Micro-architecture.
-RTL coding and debug.
-Synthesis and timing closure.
-Sign-off.
* Supporting the Verification and Emulation teams: Test plan, Coverage review.
* Ensuring that the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

We are seeking a Staff Systems Software Engineer to design and build the foundational infrastructure that powers products used by billions of people worldwide. In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin our core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across our product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

we are looking for a Software Modeling Team Leader.
As the leader of the team, you will be responsible for delivering a state-of-the-art functional simulator for the Cisco SiliconOne family of routing and switching devices. This simulator is a critical product that streamlines the development process and significantly reduces time-to-market.
In this role, you will:
Lead and mentor and scale the team to 7-10 engineers, fostering a collaborative and inclusive environment
Oversee the design and delivery of a high-performance, reliable, and user-friendly behavioral model for Cisco SiliconOne devices
Collaborate closely with cross-functional teams including ASIC Architecture, Software, and Hardware to align goals and ensure seamless execution
Champion engineering excellence by modeling hands-on problem solving and debugging best practices
Guide team members in their professional development with tailored growth plans and regular feedback

abra’s Data & AI Division is hiring a DBA (Oracle & SQL Server)! We are looking for an experienced DBA to join our Data & AI Division and manage complex Oracle and SQL Server environments, ensuring high availability, performance, security, and reliability across critical systemsWe are looking for an experienced DBA to manage and support complex Oracle and SQL Server environments, ensuring high availability, performance, security, and reliability across critical systems. Key Responsibilities
* Administer and maintain Oracle and SQL Server databases.
* Manage backups, recovery processes, upgrades, and patch installations.
* Monitor and optimize database performance.
* Troubleshoot connectivity, permissions, and infrastructure issues.
* Support production deployments and environment refreshes.
* Work closely with BI and development teams, including code reviews and best practice guidance.

we are seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems. we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

Required Application Support Engineer
Israel, Petah Tikva
We are the worlds leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the worlds most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victorias Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. Were a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
As an Application Support Engineer, you will be the first point of contact for our clients, providing essential support and ensuring a seamless experience. You will troubleshoot and resolve technical issues, manage customer inquiries, and work closely with other teams to maintain high service standards. Your role is critical in maintaining client satisfaction and ensuring the smooth operation of our services.
Responsibilities:
Troubleshooting Issues: Assist customers with resolving technical issues related to the integration.
Providing Technical Assistance: Guide customers on how to use specific features or tools on the platform.
Ticket Management: Track and resolve support tickets efficiently, ensuring timely resolution.
Bug Identification and Reporting: Identify, replicate, and report bugs to the relevant teams.
Liaising with Developers: Work with the development team to escalate and resolve complex technical issues.

As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.

Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands

Were looking for a skilled Applicative SQL Server DBA with a strong background in system design, SQL Server development, and a deep understanding of data architecture.
This position is a key role within our Data Department, which supports critical business decisions and manages complex financial processes - including reporting for NASDAQ compliance.
Responsibilities:
Design, develop, and maintain complex financial reporting solutions (including advanced SQL queries).
Investigate and troubleshoot data issues, validate results, and deliver high-quality ad-hoc reports and analyses.
Develop and maintain data pipelines that load data from external, heterogeneous sources using PowerShell and SQL scripts.
Support the migration of complex stored procedures and data processes from SQL Server to Snowflake.