Software Engineer III

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? 

We are seeking passionate and driven Software Engineers who are eager to innovate and help build industry-leading data management products. As part of Cohesity’s Data Protect Product Engineering team, you will contribute to our product portfolio by developing features, tools, and scripts that enhance the customer experience—from ease of sale to seamless deployment and maintenance.

This role goes beyond writing code. We're looking for engineers who can dive into complex systems, diagnose and resolve issues efficiently, and deliver high-quality solutions with strong attention to scalability and performance. You will collaborate closely with Product Managers, Customer Support, System Engineers, and directly with customers to ensure our solutions meet real-world needs and expectations.

HOW YOU’LL SPEND YOUR TIME HERE:

This role involves leading key technical initiatives and collaborating across teams to drive product development and support. The position plays a vital role within the organization by bridging engineering execution with customer success and relies heavily on cross-functional collaboration with product management, support, QA, design, and field teams.

Ownership of Feature Development:

• Take ownership of end-to-end design and implementation for complete feature sets for both on-premises and cloud platforms based on product requirements and customer feedback.
• Engage in technical discussions with Engineers, Architects, Product Managers, and Designers to align on design/scope.

Feature Delivery:

• Ensures timely delivery of committed features. Clearly communicate deliverables, timelines, and follow through on commitments.
• Lead development and testing of patches and hotfixes.
• Proactively assess technical risks and make data-informed decisions to mitigate them.
• Develop tools to assist support engineers in diagnosing and resolving issues more efficiently, reducing time-to-resolution for customer-reported problems.

Issue Diagnosis & Resolution:
Conduct deep root cause analysis for product defects and performance issues. Implement and validate fixes with a focus on quality and speed.

WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING

• Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• Strong coding experience in any of these languages - C, C++, Golang, Python, Java
• Comfortable in using tools - JIRA, Github, Test framework in Python
• Development experience on products related to enterprise class data protection
• Knowledge of Microservices, Public Cloud (AWS, GCP, Azure, OCI etc.) and SaaS architecture. AI/ML is definitely a plus
• Experience developing and troubleshooting large scale distributed systems written in Go/C/C++ on Linux and Windows Platforms.
• Strong coding, analytical, debugging and troubleshooting skills including use of tools such GDB, Python Debugger.
• Problem-solver who can dive deep to solve complex problems/issues.
• Bring good testing methodologies and passion for building quality products
• Great communication skills, influences others to adopt inclusive, innovative, and customer-centric behaviours.
• Knowledge of agile/scrum methodologies
• Ability to articulate design and implementation choices, communicates complex concepts to diverse audiences; simplifies complexity.
• Ability to make decisions based on data and influence stakeholders
• Demonstrated experience leveraging AI tools to streamline workflows, enhance productivity, and support high-quality decision-making

Data Privacy Notice for Job Candidates:

For information on personal data processing, please see our Privacy Policy.

Equal Employment Opportunity Employer (EEOE)

Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or recruiting@cohesity.com for assistance.

In-Office Expectations

Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.

We strongly prefer candidates who are currently located in or near the designated job location. Candidates outside the area should apply only if they are committed to relocating prior to their start date and have the legal right to work in the job location.