Staff Software Engineer – Next-Gen Verification Platform
WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world’s leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!
About The Role
At Weka, we’re building the next-generation verification platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent verification environment that continuously proves the correctness, performance, and resilience of the Weka Data Platform across every layer of the stack. This is an opportunity to invent how next-gen infrastructure is verified, leveraging both proven engineering techniques and the latest AI-driven approaches. You’ll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur? As a Staff Software Engineer, you’ll be at the center of these questions. You’ll set the technical direction, design verification frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What You’ll Do
- Design and implement a next-generation verification framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
- Leverage AI-driven tools to scale verification, including automated test generation, intelligent workload synthesis, and anomaly detection.
- Create end-to-end verification environments that simulate real-world scale, stress, and failure conditions.
- Define and drive the technical strategy for verification across Weka, setting the standard for quality engineering.
- Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
- Collaborate with product and infrastructure teams to ensure verification is deeply integrated into our development lifecycle.
What You Bring
- Extensive experience (8+ years) designing and building large-scale distributed systems in domains like storage, networking, or cloud infrastructure.
- Deep knowledge of system correctness, concurrency, and reliability, and how to verify them in practice.
- Strong programming skills in languages such as Go, C++, Rust, or Python.
- Proven ability to design frameworks or platforms that enable other engineers to move faster while improving quality.
- Experience with or interest in AI/ML-driven approaches to testing and validation.
- Track record of technical leadership influencing beyond your immediate team, setting vision, and mentoring others.
Concerned you don't meet every qualification? Don't let it stop you from applying!
WEKA is committed to building a diverse, inclusive, and authentic workplace. Studies show that underrepresented groups may hesitate to apply if they don’t meet every qualification, but if you’re excited about this role, we encourage you to apply—you may be the right fit for this or other opportunities. WEKA is an equal opportunity employer and prohibits discrimination or harassment of any kind, providing fair opportunities to all employees and applicants regardless of background or protected status.