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We are seeking a highly skilled Linux Kernel Engineer to join our innovative and dynamic team. In this role, you will be responsible for the development, optimization, and maintenance of Linux kernel components, device drivers, and system-level services. You will work closely with cross-functional teams to enhance system performance, debug complex kernel-related issues, and contribute to the development of cutting-edge embedded and server-side solutions.
If you are passionate about low-level system development, Linux internals, and making a real impact on the performance and security of modern computing, we want to hear from you!
The position can be based at either our company Headquarters (Tel-Aviv) or our company Negev (Beer Sheva).
Responsibilities
Develop, optimize, and maintain Linux kernel modules, device drivers, and system services.
Troubleshoot and debug kernel-level and low-level system issues to improve system stability and performance.
Work with Linux networking, memory management, and process scheduling to enhance system capabilities.
Integrate and customize open-source components into Linux-based environments.
Collaborate with hardware, firmware, and application teams to develop efficient and scalable solutions.
Ensure security, performance, and reliability of kernel and system services.
Conduct code reviews, testing, and debugging to maintain high-quality software development standards.
Stay up to date with the latest developments in the Linux kernel, system services, and embedded technologies.

As a QA Engineer at our company, you will play a key role in validating and improving our products, ensuring high quality.
You will join our companys family, as part of our team in Beer-Sheva, collaborating closely with software development teams in an agile and dynamic environment.
Responsibilities
Design and execute test plans and test cases based on system requirements
Identify, investigate, and report software bugs, while tracking them through resolution
Create and maintain clear test documentation and reports
Collaborate with R&D teams to provide QA input throughout the development lifecycle
Communicate risks and quality concerns that may impact future releases.

We are looking for an experienced Backend Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
● Help drive adoption and optimization of GitHub Copilot and AI dev tools
● Support (mostly) backend engineers, answer technical questions and help unblock teams
● Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, prompts, demos, playbooks, etc.)
● Measure impact, identify gaps and improvement opportunities across the SDLC
● Help defuse resistance to change with patience and empathy
● Partner with DevOps, architects and management to track and optimize AI utilization.

At our company AI were expanding a fast-growing practice that helps companies build and ship production-ready GenAI products and solutions. Weve served many satisfied customers globally and are now hiring a hands-on GenAI leader to join our GenAI Center of Excellence in Israel.
As a Generative AI Engineering Lead, you will lead the design, development and implementation of cutting-edge Generative AI solutions for our clients - ranging from Fortune 500s and enterprises to leading SMBs and startups. In this hands-on role, you will work closely with software, AI & data engineers, data scientists, architects and PMs to drive innovation and efficiency through AI solutions.
Responsibilities:
● Lead (hands-on) the design and development of state-of-the-art Gen-AI applications and products for top-tier clients
● Build and lead a team of GenAI engineers working across the stack to deliver end-to-end production-grade AI solutions to complex business problems
● Lead client AI discovery processes and sessions to deeply understand the customers needs and provide AI implementation recommendations
● Provide customers with Generative AI expertise and advisory through architecture designs, PoCs and solution reviews
● Work closely with our teams of cloud experts to deploy AI solutions across all major cloud environments (Azure ,AWS, GCP)
● Collaborate with cross-functional teams to translate business requirements into technical specifications for AI-powered applications
● Stay up-to-date with the latest GenAI technologies, research and trends.

Were looking for a Junior Software Engineer to join our growing development team.
This is a unique opportunity for a motivated developer to work on meaningful projects, learn from experienced engineers, and grow in a fast-paced, innovative environment.
Responsibilities
Design, develop, and maintain backend services and integrations
Write clean, efficient, and testable Python code
Collaborate closely with cross-functional teams, including Product, AI, and DevOps
Participate in code reviews and contribute to technical discussions
Troubleshoot, debug, and optimize application and system performance

Were building a direct-to-consumer payments platform that powers web stores and in-app purchases for many of the worlds top-grossing mobile games. Our team is growing quickly as we help game studios increase revenue, deepen player relationships, and streamline their payment operations.
As a Senior Software Engineer, youll play a key role in developing the core payments platformoptimizing routing flows, ensuring transaction security, managing refunds, and integrating with a wide range of global payment gateways. Youll work with digital wallets, credit options, and region-specific solutions, implement fraud-detection capabilities, handle the full chargeback lifecycle, and contribute to building our analytics data lake.
Responsibilities:
Building our high scale cloud-based payments platform in Node.js
Have end to end ownership: Design, build, ship, measure and maintain low latency, high availability and high performance services
Bring your unique experience - we are open to new ideas and expect you to bring our team and platform to a new level
Optimize resource usage (database, infrastructure, integrations)
Mentor and guide software engineers and help build a professional and effective team

We are looking for a developer to join a Real-Time software team, working with C++ to build and integrate advanced components within complex systems. The role involves hands-on C++ development, real-time problem-solving, and contributing to cutting-edge technological projects.

Were seeking a Team Lead Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leadercapable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.
You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.
Key Responsibilities
Leadership & Team Management Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
Define and enforce coding standards, architectural patterns, and best practices.
Collaborate with stakeholders to translate business needs into AI-driven solutions.
Manage project timelines, technical risks, and team deliverables.
Generative AI & Prompt Engineering Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
Implement safeguards (guardrails, structured output validation, injection protection).
Architecture & Backend Development Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
Drive observability: tracing, logging, monitoring for LLM-powered systems.
Evaluation & Optimization Benchmark and evaluate LLMs using custom datasets and automated testing.
Oversee system reliability, performance tuning, caching, and optimization.
Ensure solutions meet enterprise-grade standards for security and scalability.