Staff Software Engineer

Nutanix•San Jose, CA

12d•Hybrid

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.