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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer, Platform - **Company:** SB Technology, Inc. - **Location:** Palo Alto, United States (Remote available) - **Experience:** Expert - **Salary:** $147,200.0 - $276,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Architectural Patterns, Software Quality, Data Governance, Distributed Systems, Software Engineering, Cloud Platform System, Kubernetes, Machine Learning Operations - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/myr9c53bm8 ## About the Role * 8+ years of professional software development experience, with a proven track record of designing and scaling complex distributed systems. * Demonstrated experience leading high-impact engineering teams, including mentoring junior engineers and influencing technical strategy at a staff level. * Expertise in cloud-native infrastructure (GCP preferred) Kubernetes at scale. * Expertise in GPU/ML infrastructure for large training, data-generation, and inference workloads, including GPU scheduling, optimization and high-performance networking. * Strong ability to decompose complex technical problems into simplified, incremental, and actionable architectural designs. Highly Desired Skills & Experience * Deep proficiency in architectural patterns for high-throughput, low-latency services. * Experience operating in high-growth environments where infrastructure requirements pivot rapidly due to new scientific or product discoveries. * Experience with multi-tenant, data governance, data registries, lineage, and federated access for model tuning with high IP sensitive environments * Worked in regulated / compliance-bound environments that have data residency, export controls, SOC2, and strict isolation requirements. ## Description We are looking for a Staff Engineer to act as a technical leader within our Platform & Infrastructure organization. This role is central to our efforts to evolve our architectural strategy, scale our core services to meet global demand, and elevate the technical capabilities of our engineering team. You will be instrumental in breaking down complex systemic challenges into clear, actionable parts, mentoring a team of junior engineers, and setting the standard for systems excellence across the company., * Lead Architectural Strategy: Define and execute the long-term vision for our infrastructure, designing resilient, distributed systems that support our rapidly growing AI workloads. * Mentor and Develop Talent: Provide technical leadership and mentorship to junior engineers, fostering a culture of high standards, code quality, and continuous learning. * Systemic Problem Solving: Partner with engineering leads to diagnose complex technical bottlenecks and break down multifaceted infrastructure challenges using first principles into scalable, manageable technical requirements. * Drive Platform Excellence: Design and implement foundational platform services that improve developer experience and reduce operational overhead across the engineering organization. * Collaborate Cross-Functionally: Work closely with product, research, and security teams to ensure our infrastructure is secure, performant, and aligned with the company's broader mission. ## Related Videos - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Let's Talk Quality! - Lilia Gargouri](https://www.wearedevelopers.com/videos/1815-let-s-talk-quality-lilia-gargouri) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)