Database Engineer

5 months ago

Bengaluru, India Nutanix Full time

The Opportunity

Customer adoption of NDB, bringing back key learnings/identified problems from customers, pre-sales guidance/assistance where NDB sales specialists need help to unblock a customer, design and validate joint solution architectures that require a mix of NDB and third-party products working together (., HYCU backup interoperability with NDB). Drive better collaboration and roadmap alignment with Services, NDB Sales specialists, and solution engineering teams. Customer support on specific DB-related issues, including providing subject matter expertise to engineering.

Nutanix Database Service is the only hybrid multi-cloud DBaaS for Microsoft SQL Server, Oracle Database, PostgreSQL, MongoDB, and MySQL. Efficiently manage hundreds to thousands of databases with no complex migration required. Quickly and easily provision new databases, automate important but tedious administrative tasks like patching and backups, and choose the right operating systems, database versions, and database extensions to meet application and compliance requirements.  About the Team At Nutanix, you'll be reporting to Aditya Sinha, the Senior Manager of Engineering. Aditya is a seasoned professional who joined Nutanix in 2019. He leads a team of over 12 talented engineers who are working on developing cutting-edge DBaaS solutions for various platforms like Oracle, PostgreSQL, MongoDB, MySQL/MariaDB at the Nutanix NDB team. Aditya has a background in Cloud Computing and has completed post-graduation in the field from the Great Lakes Institute of Management in Chennai, with a focus on AWS and Azure.

What The Team Says:
The team at Nutanix is known for being a great group to work with, and you'll find yourself surrounded by motivated and skilled individuals who are passionate about what they do.

How We Work:
In terms of work flexibility, we offer the option to visit the office twice a week, allowing you to collaborate with your team in person and also enjoy the benefits of remote work when needed. This hybrid approach ensures a good balance between teamwork and independence.  Your Role Actively work with account teams and DB specialists on top customer accounts as identified by Sales leadership to understand the customer’s strategy, problems, how NDB is getting adopted and what is blocking adoption and expansion of NDB into the account. Collect learnings and rank prioritize customer requests for new enhancements, features, and any KTLO specific get-well items. Provide feedback on feature backlog priorities with business rationale (. customer is at risk of leaving, ARR impact, high volume of customers looking for us to solve xyz problem, . Develop workarounds and mitigations for customer issues, create best practice documentation (input into formal NDB docs, blogs, how-to guides), train SAs (or develop self-taught learning modules) on individual DB best practices to scale knowledge throughout org. Areas of Engineering Assistance: Working closely with NDB engineering on projects (., new features, closing a functionality gap, big customer issue) design, test, and certification  Support DB engine specific customer issues and escalations Provide guidance on default configuration settings for various DB instances. Help identify a list of configuration parameters that should be exposed for tuning purposes. Help identify buckets of DB (per type) use cases and the config parameters.   What You Will Bring Great communication skills and ability to work directly with customers to discern the truth of the customer’s problems versus their asks (multiple levels of why) Strong expertise in MongoDB (setting up configurations like sharded clusters, good understanding of backup/recovery concepts and hands-on at troubleshooting MongoDB environments ). Knowledge of MongoDB offerings like MongoDB Ops Manager and MongoDB Atlas is desirable. Database Infrastructure expertise on Nutanix HCI and storage is a plus. Strong understanding of critical business requirements that tend to go with every NDB deployment (scale to (x) number of database instances), high availability, disaster recovery, security/compliance. --

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