Cohesity is the leader in AI-powered data security. Over 13600 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 companys 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.
Weve 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 Senior Software Engineers who are eager to innovate and help build industry-leading data management products. As part of Cohesitys Data Protect Product Engineering team you will contribute to our product portfolio by developing features tools and scripts that enhance the customer experiencefrom ease of sale to seamless deployment and maintenance.
This role goes beyond writing code. Were 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 YOULL 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.
Technical Leadership:
Mentor team members in writing clean testable and maintainable code and guide them during all phases of design development and testing.
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.
Typically requires a minimum of 8-12 years of related experience with a Bachelors degree; or 6 years and a Masters degree; or a PhD with 3 years experience; or equivalent experience.
Strong coding experience in any of these languages - C C Golang
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.
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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 atCOHESITY or 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.
Interested candidates based outside of the designated areas are welcome to apply provided they have the right to work in the job location.
Required Experience:
Senior IC
Cohesity gives you both data security and data management. Defend against ransomware with immutable backup, AI-based early threat detection, and rapid data recovery.