Hungry, Humble, Honest, with Heart.

 

The Opportunity

We are looking for a strong systems/distributed systems engineer to join the Nutanix Cloud Manager team and develop key features for our on-prem and cloud releases. The Nutanix Cloud Manager team works on developing a health monitoring and alerting platform for all Nutanix services. It also provides an end-end telemetry platform which includes telemetry data collection via agents and a big data pipeline which provides capabilities such as data transformation / processing, data warehousing and data analytics. The work will range from analyzing application requirements and proposing and benchmarking databases, designing data processing pipelines to data analysis and recommending best practices based on workload. The candidate will have an opportunity to work with senior engineers across India and US to operationalize and optimize all aspects of a data pipeline from gateways, message bus, data processors, database abstraction layer to database.

 

About the Team

At Nutanix, you'll be joining the NCM team, a dynamic and innovative group dedicated to driving excellence in our projects. With team members based in both India and the US, we pride ourselves on cultivating a collaborative culture that fosters creativity and out-of-the-box thinking. Our team's atmosphere encourages sharing ideas and pushing boundaries, allowing each member to contribute their unique perspective toward achieving our common goals.

You will report to the Senior Engineering Manager, who is committed to supporting your professional growth and ensuring a seamless integration into our innovative environment. The work setup is hybrid, requiring team members to come into the office 2–3 days a week, facilitating collaboration while also allowing for flexibility. There are no travel requirements for this position, so you can focus on your local responsibilities while contributing to our global objectives.

 

Your Role

Design and develop the next generation of Data Platform features for on-prem and cloud.Participate in data modeling discussion and influence data products road map to ensure the best solution for requirements from various service teams.Work across all components of a big data platform, such as API gateway, message bus, databases and database abstraction layersPropose and drive adoption of best practices for operationalizing data platforms, including data catalog, tracing capabilities and configuration driven change etc.Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark to satisfy requirements that cannot be solved by straightforward rules.Work closely with development, test, documentation and product management teams to deliver high quality products and servicesCollaborate with the best engineers in the industry to work on complex challenges in large-scale computing
 

 

What You Will Bring

Bachelors or Master’s degree in computer science or related streams4+(Bachelors) or 3+ (Masters) years of experience in software product developmentExperience with one or more of the following languages (Python, Scala, Java, Golang, C++)Experience working with database technologies and optimizing workloadsExperience working with Big Data technologies and one or more of the cloud platforms (AWS, Azure, GCP etc)Having an owner's mindset and experience working in a fast-paced and demanding environmentGood understanding and working experience in SaaS technology development best practices (such as Agile)Experience working with the Kubernetes ecosystem, microservice patterns and Apache Spark is a plus.Awareness of Data Marts, Data Lakes and Data Warehouses is a plusHow we work:Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 2 - 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

 

 

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