Hungry, Humble, Honest, with Heart.

The Opportunity

Join our team at Nutanix as a Member of Technical Staff 3, where you will play a crucial role in providing a solid Nutanix Cloud Manager (NCM) product to our customers. Your mission will be to build an observability platform that allows our customers to proactively monitor and manage their infrastructure and applications. By building a reliable NCM data platform and driving the adoption of best practices, you will contribute to the success of our products. This is a unique opportunity to work with cutting-edge technologies, learn from experienced mentors, and be part of a fast-paced environment where autonomy and ownership are valued. 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.

Engineering / R&D at Nutanix

The NCM data platform provides an end-end telemetry platform that includes telemetry data collection via agents and a big data pipeline that provides capabilities such as data transformation/processing, data warehousing, and data analytics. The NCM data platform is a team of 12 people, spread across India and the US, with a mix of senior and junior engineers. The team is special because it works in a hybrid environment, prioritizing fast deliverables while dedicating time for cross-geo collaboration. The team's success lies in its ability to bring together diverse skill sets and work towards building a unified experience for Nutanix customers.

Your Role

• Design and develop the next generation of Data Platform features for on-prem and cloud.
• Participate in data modeling discussions and influence data products roadmap 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 layers
• Propose and drive adoption of best practices for operationalizing data platforms, including data catalog, tracing capabilities 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 services
• Collaborate with some of the finest engineers in the industry to work on complex challenges in large-scale computing

What You Will Bring

• 3-6 years of experience with a Bachelors or Masters degree in computer science or related streams
• Experience with one or more of the following languages (Python, Scala, Java, Golang, C++)
• Experience working with Database technologies and optimizing workloads
• Experience working with Big Data technologies, Kubernetes ecosystem, and microservice patterns
• Having an owner's mindset and experience working in a fast-paced and demanding environment
• Good understanding and working experience in SaaS technology development best practices (such as Agile)
• Experience working with one or more of the cloud platforms (AWS, Azure, GCP, etc) is a plus
• Awareness of Data Marts, Data Lakes, and Data Warehouses is a plus