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We are transforming the world of networking for massively scaled AI factories through Spectrum-X: Our Ethernet Networking solution. We need automation engineers with strong coding skills to join our Spectrum-X team and create the products that will drive the next phase of AI growth. Aa a Software Engineer you will ensure that the solution's software features are developed, tested and delivered to meet the high standards of our customers. Do you want to help create the most exciting solutions in the world of networking today? If so, read on.

What you'll be doing:

Participating in an international team of software engineers working on products for testing our ethernet networking products.

Designing and implementing robust, maintainable, and efficient automation test suites for end-to-end testing of AI ethernet networks.

Engaging directly with our customers to ensure we are aligned on their networking requirements and solve their problems.

Debugging and diagnosing complex networking problems.

We're looking for a Senior AI Infrastructure Engineer to join a group that specializes in Security and Networking, and specifically ML/AI, MLOps, and agentic AI development. As a Senior AI Infrastructure Engineer, youll build and maintain the infrastructure, tools and processes necessary to support the AI lifecycle in a production environment. You will collaborate closely with data scientists, software engineers, and security architects to ensure smooth development, deployment, evaluation, and optimization of AI pipelines, models, and agents. This role requires a balance of high-level engineering rigor and a collaborative spirit; youll be a technical anchor and a supportive peer for teams across the organization.



What youll be doing:

Architecting, developing and optimizing scalable infrastructure for deploying security and networking AI models and agents in production.

Managing ML/agentic workflows to ensure performance, high availability, resource efficiency, and cost-effectiveness.

Designing and implementing pipelines and frameworks for AI training, inference, and experimentation.

Partnering with data scientists and security architects to operationalize AI agents, including packaging and integration with existing systems. This includes contributing to and reviewing code, design documents, and test plans.

Partnering with DevOps teams to integrate pipelines and workflows into CI/CD processes, ensuring reliable deployments and rollbacks.

Building proactive monitoring systems to identify issues in quality and infrastructure before they impact production.

Implementing access controls, authentication mechanisms, and encryption standards to keep our AI models and data secure.

Documenting guidelines and leading knowledge-sharing sessions to elevate the teams collective development expertise.

We are adding a third DevOps engineer to increase delivery capacity, reduce single-person risk on critical systems, and grow our database infrastructure capability from within. If building resilient cloud and on-prem systems at scale sounds like the right challenge, we'd like to hear from you.

What you'll be doing:

Design, build, and operate Kubernetes infrastructure across Azure AKS and on-prem clusters, including ingress, autoscaling with Keda, TLS management, and GPU-enabled workloads.

Extend and harden CI/CD pipelines in GitLab, manage runners across multiple environments, and evolve GitOps-based deployments through ArgoCD.

Maintain and improve the critical on-prem infrastructure - Linux servers, NGINX, container platforms, and networking - that several production workflows depend on.

Partner with development, data, and architecture teams to streamline delivery, improve observability across Datadog, and shorten time-to-recovery during incidents.

Contribute to flagship initiatives on the roadmap: per-site Kubernetes cluster rollouts, AKS upgrades and node pool reorganization, GPU cluster enablement, and secret management with Azure Key Vault, and Sealed Secrets.

Automate provisioning and configuration across Azure resources and on-prem systems using infrastructure-as-code and scripting.

Troubleshoot across the full stack - from networking and certificates to container runtime and pipeline internals - turning incidents into durable improvements.

We are seeking a passionate QA Engineer to join our FW testing team. This position will be part of our growing team, which enables our products to meet the industry-leading benchmarks of efficiency and quality. As a Firmware QA Engineer, you will be immersed in the latest advancements and actively contribute to developing world-class products. Your efforts will directly impact the performance and quality of our offerings, ensuring they consistently meet industry-leading standards.

We are looking for an ideal candidates who will be actively involved in testing industry-leading features in the FW sector, able to rapidly acquire new feature knowledge, conduct both manual and automated tests, and contribute to the development of automation systems.

What you'll be doing:
Review arch design and requirements documents for new features introduced in several domains like Switch/HCA/NVL/Linkx FW.
Design, develop, and perform tests for the new features, as part of FW GA or update releases.
Automate newly added tests in the existing automation framework, and add new capabilities and features to the framework.
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, and raise if not fixed.
Conduct tests in various areas, including regression, performance, functional, and security. Keep track of testing progress and generate summary reports of testing activities.
Fully collaborate with different external teams like : :product marketing, R&D, and verification.
Define and build setups topologies for appropriate product coverage.

As a Component Engineer specializing in electro-mechanical test jig products, you will play a key role in providing the best electro-mechanical solutions for our design needs. You will be responsible for understanding the manufacturer landscape, assessing component parameters, and offering the most suitable solutions to our design team. Join our dynamic team and contribute to the development of cutting-edge electro-mechanical test jig products.


What You Will Be Doing:

Collaborate with the design team hardware , mechanical and FW/SW to understand project requirements and specifications.

Research and evaluate various manufacturers and suppliers of unique electrical and optical components.

Analyse and assess component parameters, including optical characteristics, data rates, power budgets, and physical form factors.

Recommend and select the most appropriate interconnect solutions based on performance, cost, and reliability.

Provide technical support to the design team during the development and testing phases.

Stay updated with the latest industry trends and advancements in automated jigs technologies.

As a growing startup, this role will continue to evolve, and were looking for team members who are comfortable building operational processes that scale with the company.

The Operations Lead is responsible for end-to-end execution of customer deployments, owning all non-engineering aspects of delivery across pilots, initial deployments, and scaled rollouts. This role operates within a cross-functional scrum led by a Field Deployment Engineer (FDE), ensuring projects are delivered on time, at quality, and at scale.

Responsibilities:

Own end-to-end deployment execution, including planning, timelines, and rollout strategy
Drive project plans, milestones, and execution tracking across multiple workstreams
Manage field operations, installers, vendors, and site readiness
Coordinate cross-functional teams (Engineering, Product, Sales, Customer Success)
Act as the operational point of contact for customers during deployments
Identify and mitigate risks, ensuring on-time delivery and high-quality execution
Own logistics and onsite readiness for pilots, deployments, and rollouts
Build scalable processes, templates, and best practices for deployment operations