At Crossvale, we are a catalyst for transformation, with a legacy of technological leadership spanning over two decades. We provide innovative solutions that drive results, grounded in the values of experience, trust, passion, and collaboration. Our team is dedicated to delivering exceptional service to our clients while fostering a collaborative, growth-oriented environment. We are currently seeking an experienced Senior OpenShift Consultant to join our team. The ideal candidate will possess expertise in OpenShift Cluster design, performance tuning, automation, and capacity planning, as well as experience in infrastructure technologies. This position involves providing technical leadership, working directly with clients, and delivering robust, scalable solutions. Key Responsibilities Design, set up, and manage OpenShift clusters, including performance tuning and capacity planning. Deploy and manage OpenShift on bare-metal and/or Virtual infrastructure.. Implement and manage ACM (Advanced Cluster Management) and ACS (Advanced Cluster Security) for OpenShift. Automate tasks within OpenShift utilizing tools like Jenkins, Git, and Ansible. Diagnose and resolve pod-related issues in OpenShift environments. Configure monitoring on OpenShift clusters using Prometheus and Grafana. Implement and optimize OpenShift Pipelines to streamline CI/CD workflows. Serve as the primary technical point of contact for clients, providing support and technical guidance. Create and maintain internal documentation for compliance and knowledge transfer. Collaborate with the Architecture team, taking ownership of specific project tasks, including estimating timelines, delivering on schedule, and making adjustments as needed. Anticipate potential risks and identify opportunities for optimization throughout the project lifecycle. Work with Developer Hub to enhance developer productivity and streamline application delivery. Qualifications Competitive salary and OTE. 100% remote work with flexible schedules. 15 days PTO + 8 paid holidays. Company-paid life insurance, health, vision, and dental coverage. 401(k) with a 4% match contribution. Travel up to 20% as required for client engagements. Ready to take the lead in delivering transformative infrastructure solutions? Apply now and become part of a global force driving innovation at Crossvale! Crossvale is committed to fostering an inclusive environment and encourages applications from all qualified candidates

• Define and execute a one- to two-year technical vision for Onebrief’s infrastructure in partnership with engineering leadership • Design and evolve a deployment strategy focused on AWS and on-prem environments, with support for partner-hosted deployments in other cloud platforms as required • Build security and compliance directly into the infrastructure lifecycle through automation and policy-driven systems • Identify and resolve the most complex technical debt and performance bottlenecks affecting the broader Product and Engineering organizations • Design and lead the implementation of the next generation of the Onebrief’s platform infrastructure

• Participate in the design, implementation, and maintenance of Sysdig's Infrastructure at scale on different clouds and on-prem. • Create / improve automation tools for infrastructure deployment, monitoring, and maintenance. • Participate in incident response efforts, perform root cause analysis, and implement preventive measures. • Ensure compliance with industry standards for security and data protection. • Participate in handling infrastructure of Sysdig's Data-stores and the unique problems of data-stores resiliency, scalability and cost optimization. • Design solutions with security controls embedded as first‑class requirements. • Guide and influence technical decisions across teams toward strong, aligned outcomes.

About Us Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We’ve built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We’re backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers—from Fortune 100s to cutting-edge AI silicon startups. About This Role This role offers a unique opportunity to be part of the founding team at ChipStack, where we are reinventing how modern silicon chips are designed. You will work alongside highly experienced chip designers who have built complex chips, ML scientists who have trained LLMs at scale, and top-notch infrastructure and software engineers. You will get to leverage your experience building ML and data infrastructure and apply it to some of the hardest problems in chip design. About You You want to be at a startup because you love to be at the center of all the dynamism that a startup offers. You are willing to put in the hours and go the extra mile to ensure every customer has an exceptional experience. You are self-motivated with a sense of urgency and can operate independently without much guidance. You are not afraid of difficult problems and enjoy venturing into areas you have not explored before. This Role We’re looking for a strong, experienced ML Infrastructure Engineer to join our founding team. We are seeking someone with experience designing and scaling ML infrastructure and training pipelines. You’ll be responsible for building the core infrastructure that enables training, fine-tuning, evaluation, and deployment of LLMs across cloud and on-premise environments. Your work will directly impact product capabilities and speed of iteration. What's needed 5+ years of experience in ML infrastructure or adjacent roles Deep expertise in Python and experience with training frameworks like PyTorch or TensorFlow Strong systems engineering skills and experience with distributed training, data pipelines, and performance optimization Experience deploying ML models to production (REST APIs, batch jobs, streaming pipelines) Proficiency with cloud platforms (e.g., GCP, AWS) and containerized systems (Docker, Kubernetes) Experience managing GPU/TPU workloads efficiently Good communication skills and the ability to work directly with engineers and customers Prior experience training or fine-tuning LLMs Experience setting up observability, monitoring, and evaluation pipelines for ML models What's good to have Exposure to chip design fundamentals (via coursework or elsewhere) Experience at an early-stage startup Our Culture Challenge status quo : We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held : We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality : We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft : Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.