Careers at WEKA
WEKA is growing fast! We’re looking for smart, dedicated, driven individuals that want to help the world’s most innovative organizations solve complex data management challenges.
Be part of something big at WEKA
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 pre-IPO, 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!
Our Culture
WEKA is growing fast! We’re looking for smart, dedicated, driven individuals that want to help the world’s most innovative organizations solve complex data management challenges.
“Everyone at WEKA works so hard, and we come together to do some really amazing things. It’s a rush to be surrounded by so much talent and brains here.”
“One of the things I love about working at WEKA is that my diverse perspective is really valued and celebrated.”
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Open Positions
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How We Work: The WEKA Way
We are Accountable
We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
We are Brave
We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
We are Collaborative
True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and we communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and the results we achieve. Together, we’re unstoppable.
We are Customer-Centric
Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.
Check Out Our Open Positions
Engineering Director
About The Position
WEKA is redefining what's possible in data infrastructure — delivering the world's fastest AI-ready storage platform, purpose-built for the most demanding workloads at scale. Our software-defined architecture powers leading enterprises, research institutions, and cloud providers worldwide.
The Role
We are looking for a seasoned engineering leader to take ownership of WEKA's deployment and operational excellence functions. As Director of Deployment Engineering, you will lead three high-impact teams — Cloud & Operator Deployment, Supportability, and Observability — responsible for making WEKA's platform effortless to deploy, operate, and monitor at scale.
This is a highly cross-functional role sitting at the intersection of engineering, product, and customer success. You will drive the strategy and execution that shapes how WEKA lands in customer and cloud environments globally.
What You'll Do
Leadership & Team Building
- Lead, mentor, and grow three teams of engineers across cloud/operator deployment, supportability, and observability disciplines.
- Foster a culture of ownership, technical excellence, and customer empathy.
- Define team structure, hiring plans, and career development frameworks.
Cloud & Operator Deployment
- Own the strategy and roadmap for deploying WEKA in cloud environments (AWS, GCP, Azure) and via Kubernetes operators.
- Drive automation and repeatability in deployment pipelines to reduce time-to-value for customers.
- Collaborate closely with product and architecture teams to ensure deployability is a first-class design consideration.
Supportability
- Build and evolve tooling and processes that make WEKA systems easier to diagnose, debug, and support — both internally and by customer teams.
- Partner with the Customer Success and Support organizations to close the feedback loop between field issues and engineering improvements.
- Define supportability standards and integrate them into the development lifecycle.
Observability
- Drive the vision for how WEKA systems expose metrics, logs, and traces — enabling customers and internal teams to understand system health at a glance.
- Oversee the development of dashboards, alerting frameworks, and monitoring integrations (e.g., Prometheus, Grafana, OpenTelemetry).
- Ensure observability capabilities meet enterprise and cloud-native customer expectations.
Execution & Delivery
- Own quarterly and annual roadmap planning for your teams, balancing new capabilities with technical debt and operational resilience.
- Establish clear OKRs and KPIs — including deployment success rates, MTTD/MTTR, and observability coverage — and drive accountability against them.
- Identify and remove blockers; drive decisions at pace without sacrificing quality.
What You Bring
- 10+ years of software engineering experience, with 4+ years in engineering management leading multiple teams.
- Deep hands-on background in one or more of: distributed systems, cloud infrastructure, Kubernetes/operators, or storage platforms.
- Proven track record of building and scaling deployment, DevOps, SRE, or platform engineering functions.
- Experience owning observability strategy — metrics, logging, tracing — in a complex, distributed product.
- Strong customer orientation: comfortable in pre-sales, escalation, and executive customer conversations.
- Excellent communication skills — able to translate complex technical concepts for both engineering teams and business stakeholders.
- Experience working in a fast-paced, high-growth B2B software environment.
Nice to Have
- Background in storage, HPC, or AI/ML infrastructure.
- Experience with cloud-native ecosystems (EKS, GKE, AKS, OpenShift).
- Familiarity with enterprise support processes and supportability tooling.