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 Protocols product area, dedicated to enhancing the quality, robustness, and performance of our Multi-Protocols Interface. You’ll focus on developing advanced automated tests, frameworks, and tools that validate our distributed data platform, which powers S3, SMB, and NFS protocol services.

Key Responsibilities

• Participate in the design, development, and testing of storage solutions, including S3, SMB, and NFS protocol integration.
• Design and implement automated test frameworks and test cases to validate functionality, performance, and scalability of storage protocols.
• Build and maintain automation solutions for stress, performance, and regression testing in distributed environments.
• Debug and troubleshoot complex issues across automation, distributed systems, and protocol-level implementations.
• Take full ownership of code quality, maintainability, and reliability.
  
  

Required Qualifications

• Bachelor’s degree (with excellence) in Computer Science or a related field from a top-rated academic institute.
• Strong analytical mindset with excellent debugging and problem-solving abilities.
• Adaptability, flexibility, and ability to work well in a team-oriented, fast-paced startup environment.
• Team player, autodidact, excellent written and verbal communication skills, fluent English.
  
  

Preferred Qualifications

• A couple of years experience in a technological unit, internship, or a junior position in an IT company.
• M.Sc, academic projects, or certifications related to storage technology.
• Experience working in Python, Go, or similar.
• Familiarity with scripting languages and Linux OS-level knowledge.
• Familiarity with storage concepts (S3, SMB, NFS, Linux filesystems).
• Familiarity with network concepts and protocols.
• Familiarity with containerized environments.
• Familiarity with CI/CD tools and frameworks.
• Demonstrated project management skills.
• 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.