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Were looking for a highly motivated, self-directed DevOps engineer with an entrepreneurial spirit to join our team. You should be a proactive problem-solver who takes full ownership of the infrastructure, acting as a force multiplier to accelerate our engineering velocity.
Our Scale:
our company operates in a fully cloud-native environment, leveraging state-of-the-art cloud technologies.
As part of the DevOps team, you will work and take responsibility for a global-scale service distributed across multiple cloud platforms, spanning thousands of servers worldwide and generating petabytes of data. Our infrastructure relies on cutting-edge NoSQL databases to handle millions of operations per second.
Responsibilities
Keep our production environments up and running
Lead the implementation of DevOps engineering practices in the organization in collaboration with the Development and Architecture teams
Design, create and improve infrastructure deployment and management using IaC
Build and maintain tooling in various technologies
Improve availability, scalability, observability, and cost-efficiency of our current and future products
Support 24/7 on-call rotation.

Execute comprehensive testing of AI datacenter networking solutions, focusing on SONiC-based systems, smart NIC integration, and high-performance networking for AI workloads.
Key Responsibilities:
Design large scale testing topologies with GPU/Traffic Generators and execute test cases for SONiC/network operating system functionality.
Validate smart NIC performance and integration with SONiC datapath
Perform functional, performance, aour company nd stress testing of AI networking scenarios
Develop automated test scripts for regression testing and continuous validation
Execute interoperability testing between different hardware vendors and software versions
Validate RDMA, high-speed Ethernet performance for AI workloads
Test failover scenarios and network resilience under various failure conditions
Document test results, file detailed bug reports, and track issue resolution
Collaborate with development teams to reproduce and isolate defects
Participate in customer proof-of-concept testing and field issue reproduction.

our company, a leader in cloud-native networking software and network disaggregation solutions, is seeking a highly skilled and motivated DevOps Engineer to join our dynamic team. Founded in 2015 and based in Israel, our company offers communications service providers and cloud providers a radical new way to build networks, substantially growing their profitability by changing their technological and economic models. The ideal candidate will play a pivotal role in automating and optimizing our development and deployment processes, ensuring seamless collaboration between development and operations teams. You will be responsible for building and maintaining CI/CD pipelines, managing infrastructure as code, and ensuring the reliability and scalability of our systems.
Key Responsibilities:
Automate build, test, and deployment processes to ensure quick and reliable software delivery
Deploy and manage scalable applications in containerized environments using Docker and Kubernetes.
Implement and maintain monitoring solutions using tools like Prometheus, Grafana
Ensure the security of infrastructure and pipelines by implementing best practices for access control, encryption, and vulnerability management.
Have fun with a great team while tackling hard challenges.

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.

We are looking for an experienced senior software engineer who can drive the development of our infrastructure platform. You'll be working on cloud-based solutions, developing automation tools, and building systems that enhance our development and deployment capabilities. This role offers the opportunity to work with cutting-edge technologies while solving complex infrastructure challenges.
The Infrastructure team is responsible for building and maintaining core automation systems, cloud infrastructure, and developer tools that power our products. We work extensively with Python, Azure cloud services, and modern DevOps practices to create scalable and reliable solutions.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouraged-this role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

We are building a large-scale backend platform for orchestrating and managing critical infrastructure state at massive scale.
As a backend engineer, you'll help design and develop high-concurrency, race-free backend services using Go (Golang), ensuring strong consistency, reliability, and performance.
You will:
Build highly concurrent backend services capable of safely handling tens of thousands of parallel operations.
Design and implement scalable APIs (REST, WebSocket, or gRPC).
Ensure consistent state management for critical infrastructure data.
Optimize system performance, reliability, and observability.
Write production-grade, maintainable, and well-tested code.
Collaborate with frontend engineers, architects, and product managers.
While initial development is focused on Go, future projects may involve other languages or stacks.
We're looking for engineers who are either experienced in Go or highly motivated to master it, and who are comfortable adapting to different technologies as needed.
Key Responsibilities
Design, develop, and maintain high-concurrency, race-free backend services using Go (Golang).
Implement scalable APIs for resource operations (REST, WebSocket, gRPC).
Ensure system consistency, performance, and reliability under high load.
Write clean, production-quality code with proper testing and observability.
Participate in system design reviews, code reviews, and team knowledge sharing.
Work closely with product managers, architects, and frontend developers.
Troubleshoot and maintain backend systems to meet SLA and performance targets.

We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The team owns the host layer, including the kernel, docker engine, security, and similar deep infrastructure.
The role requires independent research capabilities, out-of-the-box thinking and creativity, and ability to break down vague/amphoric issues at the core of our product.

We are looking for a talented and motivated Software Engineer to join our newly formed team developing orchestration tools and platforms for AI datacenters.
The main goal of this team is to create customer-focused orchestration solutions that simplify the deployment, management, and optimization of large-scale AI workloads across a full datacenter stack - including switches, hosts, smart NICs, GPUs, ROCm, and RCCL.
You will work on the design and development of orchestration systems that bridge compute, networking, and AI acceleration domains, primarily using Python and modern full-stack technologies.
Key Responsibilities
* Design and develop software components for orchestration platforms managing AI datacenter infrastructure.
* Implement control and coordination mechanisms for compute, network, and AI acceleration resources.
* Develop backend services, APIs, and UI components using Python and modern full-stack frameworks.
* Collaborate with cross-functional teams - including networking, GPU, and system software - to integrate orchestration capabilities across multiple layers.
* Participate in architecture discussions, code reviews, and continuous integration processes.
* Contribute to testing, validation, and performance improvements of orchestration systems.
* Engage with product and customer teams to translate operational needs into effective software solutions.
Preferred Qualifications
* Exposure to **AI workloads** and GPU ecosystems (ROCm, RCCL, PyTorch, TensorFlow).
* Experience with **distributed systems, control-plane software, or cluster management frameworks**.
* Familiarity with **REST/gRPC APIs**, **microservices**, and **cloud-native architectures**.
* Background in **monitoring, telemetry, or resource scheduling systems**.
* Practical experience in **full-stack development** (React, Angular, Node.js, or equivalent).
* Experience with **test automation frameworks** (pytest, Robot Framework, etc.).

Were looking for a talented Software Engineer to join our CI team, a dedicated software engineering team within the DevOps group. Our team designs, builds, and maintains the systems that power our continuous integration (CI) environment - including developing AI-driven agents to enhance and optimize CI workflows.
The ideal candidate has a strong software engineering background and an interest in building tools, systems, and services that support large-scale development environments.

We are seeking a highly skilled and motivated Team Leader - Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contribution-mentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

We are looking for an experienced Engineering Team Leader to drive and oversee the development of our infrastructure platform.
You'll lead a team focused on building Python-based microservices, infrastructure automation, and cloud-native solutions.
This role combines technical leadership with hands-on development, emphasizing strong Linux expertise and distributed systems knowledge.
The Infrastructure group focuses on developing scalable microservices architectures and automation systems that power our platform. As the team leader, you'll guide the development of Python-based services while ensuring robust infrastructure practices.

We are seeking an Embedded Software Technical Lead who combines strong hands-on development expertise with the ability to guide a team technically. This role involves leading the design and development of new features, ensuring code quality, supporting customers when needed, and fostering collaboration and continuous improvement across the organization.
Responsibilities
Engage in hands-on software development, debugging, and troubleshooting on embedded targets, working closely with the team.
Lead technical efforts for new features, ensuring reliability, scalability, and high performance.
Improve software quality by conducting code reviews, mentoring team members, and promoting best practices.
Provide customer support when necessary, addressing technical issues efficiently.
Encourage a culture of open communication and feedback within the team and across teams.

Were looking for a talented and motivated Platform Software Engineer with strong design, coding, and debugging skills - and the passion to lead and mentor others.
In this role, youll take part in developing core components of our large-scale, distributed data-path system - from high-level features to low-level implementation close to the hardware.
What youll do:
Design and develop platform features, including both front-end and back-end aspects.
Work closely with the hardware layer (e.g., BSP, I2C, IPMI).
Drive complex projects from design to production.
Collaborate with multiple teams across disciplines.
Lead by example - mentor team members and contribute to a culture of technical excellence.