Senior Software Engineer

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.

Want to join the leader in AI-powered data security?

Cohesity offers a web-scale, hybrid cloud infrastructure for data management. We are looking for Software Engineers who are motivated and hardworking and strive to improve Cohesity’s Products and by working on features, tools, scripts that will make them easy to sell, deploy and maintain. You are not only a Software Engineer who crafts and implements features but should have a curiosity about diagnosing problems in large bodies of complex code, Also is able to comprehend scalability and performance and work on fixes with rapid turnaround time and high-quality results. Along with being part of our Product and Sustenance Engineering team, you will also be collaborating with Product Managers and more importantly with Customer Support, System Engineers and Customers.

How Youll Spend Your Time Here

• Design, build, and maintain scalable Python-based microservices and APIs for AI-driven platforms.
• Integrate and optimize Generative AI models into production-grade systems.
• Collaborate with ML engineers, product managers, and infra teams to design safe and efficient GenAI features.
• Build pipelines for prompt engineering, model fine-tuning, evaluation, and deployment.
• Work on retrieval-augmented generation (RAG), vector databases, and hybrid search systems.
• Drive performance, observability, and reliability of GenAI services.
• Stay updated with the latest in LLMs, GenAI tooling, and open-source ecosystems.
  
  

• MS/BS in Computer Science/Computer Engineering or related
• field of study with 6-10 years of relevant experience.
• Strong expertise in Elastic Search Optimization, indexing, aggregation and emerging standards and engineering best practices in this area.
• Strong coding experience in Object Oriented Programming
• language.
• Mastered the fundamentals of programming and debugging skills in Go, Python.