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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.
Responsibilities:
Lead technical discovery and solution-design workshops with merchant engineering, architecture, and business teams.
Understand the merchants existing e-commerce architecture, business requirements, operational processes, and technical constraints.
Define the most appropriate company integration approach across supported platforms, APIs, order management systems, and fulfilment solutions.
Design end-to-end solutions, including system interactions, data flows, integration responsibilities, dependencies, and technical risks.
Translate business requirements into clear technical specifications and implementation plans.
Act as the technical owner throughout delivery, ensuring the agreed solution is implemented correctly and aligned with our company best practices.
Guide merchants and partners through configuration, development, testing, launch readiness, and go-live.
Identify technical risks and complexity early, challenge non-scalable designs, and recommend practical alternatives.
Investigate complex integration issues by reviewing API payloads, logs, network traffic, system behaviour, and configuration.
Coordinate with Product and R&D when product changes, technical clarifications, or defect resolution are required.
Provide structured feedback to Product and R&D based on recurring merchant requirements and integration patterns.
Support internal teams through technical enablement, documentation, and knowledge sharing.

We are looking for a Backend developer to join our engineering team, taking a key role in designing and scaling both our core data collection systems and our high-throughput ingestion pipelines.

What Youll be Doing:
Develop, scale, and maintain the collection systems and high-throughput ingestion architecture.
Design and implement robust backend services, microservices, and feature enhancements using both Java and Python.
Build and optimize scalable data pipelines handling massive volumes of data from various sources through to downstream storage and indexing.
Troubleshoot, monitor, and test core product software, message brokers, and distributed databases to ensure healthy functionality, identify bugs, and ensure proactive resolution.
Implement architectural optimizations to enhance system efficiency, low latency, reliability, and scalability across multi-cloud environments.
Collaborate with cross-functional teams to define requirements, design resilient system architectures, and deliver high-impact production solutions.

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in a leadership capacity. You'll work with and support the engineering teams to build and maintain the development and deployment infrastructure. You'll be part of building highly automated and scalable systems, working in a highly motivated and skilled team.

Responsibilities
Continuously improve DevOps tools, processes, and procedures.
Build, maintain, and scale infrastructure for Production and Staging environments.
Deploy, manage, and support our environments, including troubleshooting incidents.
Design automation frameworks, tools, and systems for continuous integration and continuous deployment, ensuring fast-paced software delivery into Staging and Production environments.
Collaborate closely with Development teams to ensure end-to-end quality.
Stay up-to-date with new technologies, architect and implement new solutions for infrastructure automation.
Bring innovative ideas and solve complex technology problems.

We are is looking for a talented Code Generation and Optimization Expert. We are looking for a self- , independent engineer to join the team that builds the software infrastructure for accelerating the system in large scale compute environments like data centers and HPC using new CPU core technology. Working on the cutting edge and future ready systems. We work in a development culture that is diverse, flexible and challenging. For persons looking to make an impact and influence the future of computing with personal growth options.

The CodeGen team is developing core components in the automated optimization process that adapts our unique hardware architecture to run any HPC & AI applications, with little to no code modifications required. By using iterative rounds of telemetry and optimization, our compiler is able to intelligently adapt our accelerator into a workload-specific ASIC, at runtime.

We are seeking a talented Code Generation and Optimization Expert to join our bleeding-edge CodeGen team in Israel. In this high-visibility, hands-on role, you will play a pivotal part in building NextSilicons next-generation runtime compiler.

Responsibilities
Design and maintain the distributed and heterogeneous executable that is generated by our compiler stack.
Using the MLIR framework, transform high level compiler outputs into hardware-specific binary images, memory mappings, execution parameters, resource allocation, region grouping, and cross-domain coordination for distributed systems.
Design and maintain the API layer (libRT.a) connecting compiler-generated code with runtime services, ensuring seamless integration across different execution domains.
Collaborate closely with hardware, architecture, verification and other compiler teams to align software with hardware requirements and behavior.

We are looking for talented networking software engineers to develop an innovative new communication stack. Were starting from the ground up, rethinking existing protocols and network accelerators while designing both hardware and software for a new low-latency compute platform. We care about results and insist on doing things right. Our engineers are not siloed into narrow areas; our ideas are cross-fertilized among teams. Our technical backgrounds are diverse and we don't have preconceived approaches or cookbooks, so come and invent! The hardware teams are just a few steps away and really like hearing our ideas. This is a unique opportunity to develop creative solutions from concept to implementation.

Responsibilities
Take part in developing a networking stack from the ground up:
Analyze customer applications and explore creative ways to accelerate them in hardware or software.
Find the best ways to process packets on our hardware platform
Participate in architecture of future NIC generations .
Develop user-space libraries and benchmarks for low-latency communication
Work closely with the hardware teams to offload key features into the next generation of products.

As a DevOps Engineer at our company, youll play a pivotal role in our cloud infrastructure group, driving the development, optimization, and maintenance of our cloud-based infrastructure. You will:
Design, implement, and maintain high-scale production cloud infrastructure solutions for availability, performance and resilience
Implement and maintain Infrastructure as Code (IaC) practices to ensure consistency and efficiency in deployment processes
Use your expertise in Linux and networking to enhance system performance, security, and reliability
Collaborate with cross-functional teams to understand business requirements and translate them into effective cloud solutions
Troubleshoot and resolve complex issues related to cloud infrastructure and services affecting millions of users.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

We are seeking a talented engineer to work on our AI software stack-specifically, the low-level optimization of AI models and kernels for our unique hardware architecture.

Responsibilities
Develop our optimized AI libraries and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on our unique hardware architecture-unlocking a new level of performance.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.

Responsibilities
Develop our AI kernel compilers and related components in the SW stack.
Drive the performance optimization of AI models running on our unique architecture.

Join the company Headless team, where you'll build and own products that give our company users the flexibility to create and grow their online presence in new ways.
Our team owns the product end to end - from the first interaction at the top of the funnel, through activation and conversion to premium, to the ongoing experience of our users. This means you'll work on problems that combine deep engineering challenges with product thinking and have a direct, measurable impact on key business KPIs.
You'll move between designing backend systems, solving architectural challenges, building product capabilities, and improving user experiences.
You'll have the opportunity to understand the entire product journey and influence both how we build and what we build.
We're looking for hands-on engineers who enjoy seeing the bigger picture. People who can take an ambiguous problem, understand the user and business need behind it, collaborate across disciplines, and drive a solution from idea to production and beyond.

You'll be a senior engineer on a deliberately flat, entrepreneurial team. Day to day you'll design and build agentic AI systems - agents, workflows, the orchestration layer that ties them together, and the infrastructure that makes all of it reliable at scale. This is hands-on building, not oversight.
What you'll do
Design and build agentic workflows and the AI systems behind them - agents, the orchestration layer, and the infrastructure that runs them reliably
Take significant, ambiguous areas of the system and drive them from rough idea to working capability
Help scale the platform from a first working workflow to something used across the marketing organization
Contribute to evaluation, quality, and reliability - making sure systems don't just run, but run well
Work directly with the people who'll use what we build, and translate their needs into systems.

As an xEngineer at AI Creation, you'll take on some of the most exciting engineering challenges at our company, shaping how AI becomes a core part of creating and editing stunning sites.
Take on engineering challenges to integrate AI as a first-class part of site creation and editing
Work on complex systems requiring deep technical understanding and collaboration with multiple engineering groups
Lead and own features end-to-end, from research and technical design to implementation and deployment
Collaborate closely with product managers, UX designers, and fellow engineers to deliver impactful solutions
At our company, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at our company and special requests are handled thoughtfully at the team level.

We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our company Automation Platform (DAP) team.
The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments.
You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure - running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns.
This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems - not model training or research prototypes.

We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems.
This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers.
This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
our company's Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments - often air-gapped, with no data leaving their premises.
Responsibilities
Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).
Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.
Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.
Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.
Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.
Provide on-call support for dev/staging environments and customer stamps.
Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana - dashboards and alerts across services, Kafka, databases, and GPUs.
Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.