Software Engineer - Production Engineering (Python/Go)
Cohesity
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?
This technical role is centered on driving Digital Innovation through next-generation technologies and AI to enhance support efficiency and transform the customer experience. The Production Engineer will lead the development of intelligent tools, systems, and processes that proactively deflect support cases, accelerate resolution, and minimize overall effort in supporting our products. The team will also collaborate with Engineering to develop and deliver Supportability requirements within the product that help simplify the customer user experience – how they are utilizing the product and when to add capacity, simplify upgrades, troubleshooting and hardware replacement, and focus on self-service.
We seek creative problem-solvers who think beyond conventional boundaries and can fuse diverse approaches to deliver swift, impactful solutions. This role combines deep technical expertise with a strong understanding of support workflows to champion supportability and usability, identify pain points, and drive transformation. The engineer must be adept at building dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence, while leveraging built-in diagnostics to improve efficiency. AI/ML skills are a strong advantage, enabling predictive and intelligent capabilities within the support ecosystem.
HOW YOU’LL SPEND YOUR TIME HERE
Collaborate with Engineering to embed Supportability features within products, ensuring seamless customer experiences across capacity planning, upgrades, troubleshooting, and hardware replacement.
Drive self-service capabilities that simplify product usage and empower customers with intuitive solutions.
Connect diverse methodologies to craft creative, integrated solutions for complex challenges.
Apply a deep understanding of support process flows and dependencies to identify pain points and transformation opportunities.
Build dashboards, scripts, telemetry, and accelerated troubleshooting using tools such as Python/Go, Snowflake, Tableau, SFDC, JIRA, and Confluence.
Evangelize the value of supportability by leveraging tools and built-in diagnostics to improve debug efficiency.
(Bonus) Apply AI/ML skills to introduce predictive and intelligent capabilities into the support ecosystem.
WE 'D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING
B.E./M.Tech. degree in Engineering, or related field like Information Technology etc
Innovative mindset – ability to think out of the box and fuse diverse approaches to create impactful solutions.
Strong technical expertise in scripting, automation, and data engineering using Python/Go (or equivalent), Snowflake, Tableau, SFDC, JIRA, and Confluence.
Deep understanding of support workflows and dependencies, with the ability to identify pain points and drive process improvements.
Proven experience in building dashboards, telemetry, and troubleshooting tools to accelerate issue resolution.
Ability to evangelize supportability and usability principles, influencing product design and engineering teams.
Familiarity with AI/ML concepts and their application in predictive support and intelligent automation (preferred).
Excellent problem-solving skills, with a focus on connecting methodologies and delivering integrated solutions.
Strong collaboration and communication skills to work across engineering and support teams effectively.
Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support 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 at 1-855-9COHESITY or talent@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.
Interested candidates based outside of the designated areas are welcome to apply, provided they have the right to work in the job location.