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Required Site Reliability Engineer- Infra
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As a Site Reliability Engineer- infra, on our Infrastructure team at the TLV office, you will play a key role in ensuring the reliability, scalability, and performance of our critical systems. You will be responsible for managing and improving our core infrastructure, with a focus on automation, monitoring, and incident response. You will work with a wide range of technologies, including Kubernetes, monitoring and observability tools, configuration management systems, and core networking services.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure the reliability, availability, and performance of our infrastructure services.
Manage and maintain our Kubernetes infrastructure, including KubeVirt.
Design, implement, and maintain our monitoring and observability stack (SensuGo, VictoriaMetrics, Prometheus, ELK).
Automate infrastructure provisioning, configuration, and deployment processes using Puppet and Ansible.
Manage and maintain core services such as DNS and networking.
Troubleshoot and resolve complex infrastructure issues in a timely and efficient manner.
Participate in on-call rotations and incident response.
Develop and maintain infrastructure-as-code (IaC).
Identify and implement proactive measures to prevent incidents and improve system reliability.
Collaborate with development teams to ensure smooth and reliable deployments.
Contribute to the design and implementation of new infrastructure solutions.
Drive improvements in system architecture, processes, and tools.
Mentor and coach other team members.

we are seeking a hands-on Software Manager to lead an engineering team developing next-generation, cloud-native infrastructure based on Kubernetes for AI and HPC workloads. Youll manage a high-impact team building scalable systems powered by DPUs and our companys advanced networking technologies. In this role, youll collaborate closely with architecture and marketing teams to shape system design, align technical direction with business goals, and ensure strong execution. This is a unique opportunity to lead a top-tier team delivering infrastructure at scale.
What youll be doing:
Lead and coordinate a team building K8s-based infrastructure for AI and HPC.
Oversee feature delivery with active involvement in design, development, and debugging.
Guide the team to build scalable, high-performance systems using our companys compute and networking technologies.
Collaborate with architecture and marketing to align strategy and influence design.
Drive recruitment, mentorship, and foster a culture of innovation and excellence.

we are a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, our company created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the networks economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&Ts network traffic now runs through a disaggregated core powered by our company's software. our company's Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, our company continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.
The Role
we are seeking a highly motivated and skilled Software Engineer to join our Hardware Software team. In this role, you will be responsible for the development and integration of Board Support Packages (BSP) and low-level firmware components for our carrier-grade networking solutions. Carrier-grade routers/switches designed for service providers or data center networks. The systems integrate ASICs and high-throughput backplanes supporting multi-terabit line rates. You will work closely with hardware, platform, and system architects to bring up new hardware platforms and support advanced network functionalities in high-performance environments.
Key Responsibilities:
Develop, integrate, and maintain BSP components, including bootloaders (e.g., U-Boot), device trees, and hardware abstraction layers.
Design and implement firmware and low-level drivers for network-centric hardware platforms (e.g., ASICs, NICs, SoCs, CPLDs, FPGAs).
Support hardware bring-up and board validation, collaborating with hardware engineers and system integrators.
Work on performance optimization, debugging, and stability improvements of system software on embedded Linux platforms.
Interface with third-party SDKs and adapt them to fit within our companys software infrastructure.
Ensure compliance with industry standards and best practices for networking and embedded systems.

We are looking for a talented highly-motivated experienced SW engineer to join one of its growing inspiring development teams.
You will work on multi-tenant, high-scale, distributed SaaS echo system on top of k8s platform which is used for managing the cloud security services infrastructure, customers' self-service configuration, monitoring and reporting, analytics and more.

As a SW engineer, you will manage and work with the different Engineering teams and architects in order to design, develop, monitor, scale and optimize the large-scale architecture of a winning SaaS security service.

What will you do?

Implement our implementation of next generation back-end infrastructure to help us scale our SaaS based infrastructure.

Be part of a team building tools to make our infrastructure scalable, and robust.

Leverage Generative AI tools for code generation, optimization, debugging, documentation, and prototyping.

Continuously research and integrate new AI-driven developer productivity tools.

Design and develop an always-available Cloud-based SaaS platform in AWS

Lead and Design the development of robust CI/CD pipelines for Kubernetes running Containerized applications

Design and build strong Application and System monitoring and automated self-healing procedures.

Maintain and support application deployments, building new systems and upgrading existing.

Working closely with all the Engineering and DevOps teams, taking full responsibility and ownership from conception to post-deployment in a collaborative, fast-paced environment.

we are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!
What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

we are a leader in cloud-native networking software for Hyperscalers and service providers who are building the largest infrastructures in the world for network services and AI platforms. Founded in December 2015, our company disrupted some of the most challenging high-scale markets, transforming the way Networks are built, scaled, and consumed. We also built the largest network in the world, with more than half of AT&Ts backbone running on our companys Network Cloud. our companyhas raised $587 million in three funding rounds which enable us to dream big and bring on the most talented people.
The Role
We are looking for a Full Stack Software Engineer to join our Network Orchestration group. Our group is responsible for developing scalable, high-performance distributed systems that support complex network infrastructures.
In this role, you will be working on both backend and frontend development, contributing to the design, implementation, and optimization of our software solutions. You will work end to end on features, from design and development to deployment and monitoring in production.
You will collaborate closely with team members, QA engineers, Product Managers, Project Managers, and UI/UX Designers to deliver high-quality, production-ready applications.
We embrace an agile mindset you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Develop and maintain backend services using Node.js (TypeScript, NestJS/Express) and frontend applications with Angular.
Work end to end on features, from design and development to deployment and monitoring in production.
Write clean, maintainable, and well-tested code, following best practices.
Work with relational and NoSQL databases, designing efficient data models and queries.
Collaborate with QA engineers, Product Managers, Project Managers, and UI/UX Designers to deliver high-quality features.
Participate in code reviews, providing constructive feedback and ensuring best practices.
Troubleshoot and debug application issues, ensuring smooth functionality in production.
Work with distributed systems, understanding their challenges and ensuring scalability and reliability.
Stay updated with modern development trends, frameworks, and best practices.

we are looking for an excellent Software Engineer for the Switch SDK Group. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of our companys products and technologies. our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people.
Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
What youll be doing:
Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and many other modules
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.

We are seeking a Senior Platform Engineer, Observability to join our Observability team. This role offers the opportunity to work at the intersection of software development and platform engineering, contributing to the tools, systems, and practices that improve visibility, reliability, and operational excellence across our engineering organization.

This position is ideally suited for experienced software engineers who are passionate about building high-quality systems and are interested in expanding their expertise in observability, distributed systems, and developer experience. You will help design, build and maintain systems that empower engineers across us to monitor, understand, and troubleshoot their services more effectively.

Our observability team is responsible for delivering scalable and user-friendly solutions to over 150 engineers working across more than 20 teams. Were focused on enabling rapid incident detection and resolution, improving our reliability posture, and supporting a culture of continuous improvement.

What you'll be doing:
Design, build, and maintain observability tools and infrastructure that help our engineers provide actionable insights into the performance and reliability of our systems.
Collaborate with other engineers and teams to enhance the developer experience around monitoring, logging, alerting, and tracing.
Develop and evolve our internal tooling to simplify the process of instrumenting and observing services.
Partner with engineering teams to improve incident response and recovery workflows, and ensure systems meet internal SLOs/SLAs and reliability targets.
Support the migration from our legacy ELK stack to a modern observability platform using Prometheus, Mimir, Grafana, Honeycomb, Loki, Quickwit, and OpenTelemetry.
Contribute to knowledge sharing and the ongoing development of best practices in observability across the organisation.

Were looking for an experienced MLOps / DevOps Engineer to design and manage the infrastructure powering large-scale machine learning systems. Youll be responsible for deploying GPU-heavy models (including LLMs) on cost-efficient, production-grade infrastructure, supporting both ML workflows and application artifact delivery.

Youll work with cutting-edge technologies like vLLM, Triton, SageMaker, ClearML, Karpenter, KEDA, and EKS, ensuring the right balance between performance, scalability, and cost.



What Youll Do

Deploy and manage LLMs and deep learning models using vLLM, Triton Inference Server, and custom API endpoints.

Build and maintain GPU-aware autoscaling clusters using AWS EKS, Karpenter, and KEDA, optimizing for cost-efficiency and performance.

Develop CI/CD pipelines using Jenkins and GitHub Actions to automate ML model delivery and application deployments.

Orchestrate training, fine-tuning, and inference jobs on AWS SageMaker and ClearML, with support for experiment tracking, versioning, and reproducibility.

Support backend teams in deploying app artifacts and runtime environments; implement rollback and release strategies.

Integrate observability tooling (e.g., Prometheus, Grafana, ELK, or OpenTelemetry) for both infrastructure and model performance.

Collaborate with SREs to enforce high availability, disaster recovery, and incident response procedures for mission-critical AI services.

You will participate in implementing a new strategic platform offering Generative AI (Gen AI) capabilities such as inference, fine-tuning, data curation, data labeling, and more.

We are seeking a highly skilled Gen AI software engineer to design, develop, and deploy state-of-the-art, scalable, efficient Gen AI solutions. You will be part of a high-performing engineering team that values collaboration, innovation, and teamwork. This role is perfect for someone who thrives in an environment where ideas are shared, challenges are met together, and success is a collective achievement.

Responsibilities:
Designed and implemented Gen AI platform components using Python and modern microservices.
Drive engineering and operational excellence and best practices.
Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
Drive the end-to-end development of AI systems, from research and experimentation to deployment and scaling
Mentor and support engineers, fostering a culture of collaboration, knowledge-sharing, and continuous learning
Analyze complex problems and identify and define the requirements to solve them.
Apply DevOps principles to maintain high-performance and scalable AI systems.
Design and implement secure APIs, ensuring data protection and safe interaction with AI models.
Stay updated on the latest Gen AI trends and technologies, bringing fresh ideas to the team