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 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. We invite you to join us on this exciting journey if you share our passion.

As a Software Engineer, you’ll:

Be a key part of Weka’s Filesystem product area, dedicated to enhancing the quality, robustness, and performance of the core features of our large scale storage solution. You’ll be working closely with highly experienced developers to develop and expand the capabilities of our storage solution, with emphasis on quality and high performance.

Key Responsibilities

• Assist in the development and enhancement of distributed file system components to support data management features such as snapshots, replication, and tiering.


• Work closely with senior developers, assisting them on projects while gaining insights and understanding of complex tasks and workflows.


• Have a strong focus on quality with emphasis on designing and implementing unit tests.


• Contribute to performance optimization efforts by learning to identify bottlenecks and implementing effective solutions.


• Engage in ongoing learning to enhance the productivity, reliability, and maintainability of software solutions.


• Collaborate on the design, architecture, and implementation of next-generation storage architecture.

Required Qualifications

• Bachelor’s degree (with excellence) in Computer Science or a related field from a top-rated academic institute.


• 1 year of experience as a QA or in programming roles is an advantage.


• High grades in operating systems, data structures, and algorithms.


• Programming background, with an interest in C, C++, or Rust - low level programming


• Good understanding of concurrency, inter-process communication, and threading models.


• Strong problem-solving skills and an eagerness to learn and adapt in a dynamic environment.

Preferred Qualifications

• Familiarity with distributed systems and storage concepts, including snapshots and data replication.


• Previous development experience (could be as part of a military service or student position) is an advantage. 


• Initial exposure to Linux development and debugging.


• Basic knowledge of file systems such as ZFS or XFS, or an interest in learning about enterprise storage solutions.


• An understanding of the basics of performance optimization and data safety is helpful.

**** Please attach your academic grade sheet

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.