Careers at WEKA

WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s most innovative enterprises and research organizations, including 12 of the Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably.

We’re passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. If you share our passion, we invite you to join us on this exciting journey.


Responsibilities:

• Provide leadership and deep technical supervision to teams of engineers developing our distributed high scale cutting edge cluster.
• Lead and mentor Team Leaders and Engineers to foster on time delivery, quality development, productivity, and efficiency.
• Collaborate closely with cross-functional teams, including QA, product management, and support, in an agile environment.
• Develop resource plans, schedules, and actively participate in cross-functional release and roadmap planning.
• Engage in technical communication within the team and across other groups to ensure alignment and innovation.

Requirements:

• 5+ years of experience in storage, networking and/or large scale distributed systems environments.
• Experience implementing distributed and scalable algorithms and data structures.
• Proven track record of managing development teams for at least 3-5 years.
• 5+ years of experience in C/C++ system-level programming.
• Extensive experience writing high-performance, testable, and maintainable code.
• Strong familiarity with hardware architecture (e.g., CPU cache, multi-threading, hyper-threading, NUMA).
• Familiarity with storage systems, databases, or other infrastructure technologies.
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Preferred Qualifications:

• Degree in Computer Science, Engineering, or equivalent work experience.
• Experience contributing to filesystem, database, or similar data storage-related projects, with exposure to open-source community practices.
• Solid understanding of the Linux kernel, including performance implications of context switches, threads, memory allocations, page cache, etc.
• Proficiency in Python or other modern scripting languages.
• Hands-on experience in storage or related technical domains from current or previous roles.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.