Join our team at Nutanix as a Staff Engineer in our San Jose office, where you will play a crucial role in providing a solid Nutanix Cloud Manager (NCM) product to our customers. Your mission will be to design and 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, lead and mentor engineers, 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.

About the Team

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 ~15 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

Drive technical direction and architecture for the NCM Data Platform working with other senior
engineers.

Design and develop the next generation of Data Platform features for on-prem and cloud.

Drive data modeling discussions working with senior engineers to ensure the best solution for
requirements from various service teams.

Collaborate with Product Management, QA and documentation teams across multiple geographies
to deliver high-quality products and services.

Work across all components of a big data platform such as API gateway, message bus, databases and
database abstraction layers.

Mentor junior engineers and drive best practices for design/code reviews.

Propose and drive adoption of best practices for operationalizing data platforms, including data
catalog, tracing capabilities, configuration-driven change, etc.

What You Will Bring

15+ years of experience with a Bachelors or Masters degree in computer science or related streams.

Experience architecting and building highly available and scalable data platforms.

Experience with one or more of the following languages (Python, Golang, C++, Java).

Experience working with Database technologies and optimizing workloads.

Experience working with Big Data technologies viz. Message queues/API gateways, Kubernetes
ecosystem, and microservice patterns.

Experience with open standards for data transport and storage such as OTEL, Apache Parquet and
Apache Iceberg.

Having an owner's mindset and prior experience of leading teams in a fast-paced and demanding
environment with good knowledge of SDLC practices.

Awareness of Data Marts, Data Lakes, and Data Warehouses is a plus.

Experience shipping data platforms as part of an Enterprise software is a plus.

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. In locations where our workplace policy applies (i.e. San Jose, Durham, Mexico City, Bangalore, Pune, Hoofddorp, Belgrade, Barcelona, Singapore, Sydney and Tokyo), employees are expected to work onsite a minimum of 3 days per week to foster collaboration, team alignment, and access to in-office resources. Workplace type may vary based on location and team requirements. Please speak with your recruiter for details. Additional team-specific guidance and norms will be provided by your manager.

The pay range for this position at commencement of employment is expected to be between USD $189,600 and USD $380,400 per year.

However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Our application deadline is 40 days from the date of posting. In good faith, the posting may be removed prior to this date if the position is filled or extended in good faith.