Software Engineer Python Or Golang Docker Cloud AI Technologies
Talentmate
India
8th August 2025
2508-2561-13
Job Description
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?
As a DevX Tools-TaaS Engineer in the Productivity Engineering team you will be instrumental in building scalable and reliable platforms and tools using Git, Bitbucket, Python, Jenkins, Kubernetes and the latest technologies. Your primary focus will be on problem-solving in the domain of software delivery and release process automation, collaborating closely with our DevX team, developers and SDETs across the company.
How You’ll Spend Your Time Here
Design, develop, and maintain scalable web applications using modern full stack technologies.
Collaborate with cross-functional teams to identify pain points and implement innovative solutions.
Design, code, test, and deploy high-quality software solutions that would help increase the productivity of engineers.
Utilize the latest and greatest technologies to drive continuous improvement in our automation processes.
Troubleshoot and resolve issues related to tools and platforms promptly.
Stay up-to-date with industry trends and emerging technologies to ensure our offerings remain cutting-edge.
WE’D LOVE TO TALK TO YOU IF YOU HAVE MANY OF THE FOLLOWING
Bachelors degree in Computer Science, Software Engineering, or a related field (or equivalent work experience).
4+ years proven experience in building scalable and reliable platforms and tools using Python (Django/Flask) or Golang.
Strong Design, troubleshooting and problem-solving ability in back-end as well as font-end (ReactJs)
Experience in working with different Databases like mongo, SQL or Neo4j
Solid understanding of REST APIs, GraphQL, and asynchronous data handling.
Practical experience with integrating AI/ML tools such as GitHub Copilot, CodiumAI or OpenAI.
Monitor and maintain the health and usage of internal tooling platforms, proactively resolving issues.
Familiarity with CI/CD tools like Jenkins and orchestration tools like Airflow
Good to have knowledge of monitoring, logging and alerting solutions - the more the better.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes).
Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible).
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
A creative, independent, self-motivated person willing to learn new technologies
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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.
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