Member of Technical Staff 4

Vancouver, BC
Hybrid
Posted Sep 24, 2026
1 position

$151,000–$227,000 / year

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Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level

Job summary

Design and develop next-generation data platform features for on-prem and cloud environments while managing big data pipelines. Collaborate with cross-functional teams to implement data engineering solutions and drive best practices for observability and infrastructure monitoring.

Job details

Hungry, Humble, Honest, with Heart The Opportunity Join our team at Nutanix as a Member of Technical Staff 4, 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 an opportunity to analyze application requirements, benchmark databases, design data processing pipelines, and recommend best practices based on workload in a modern, autonomous environment. About the Team The NCM data platform team provides an end-to-end telemetry platform that includes data collection via agents and a big data pipeline delivering data transformation, warehousing, and analytics. You will be part of a 12-person team spread across India and the US, bringing together diverse skill sets to build a unified experience for Nutanix customers. This team operates in a hybrid environment, prioritizing fast deliverables while dedicating time for vital cross-geo collaboration and technical mentorship. Your Role Design and develop the next generation of Data Platform features for on-prem and cloud environments. Participate in data modeling discussions and influence the data products roadmap to ensure the best solutions for various service teams. Work across all components of a big data platform, including API gateways, message buses, databases, and database abstraction layers. Propose and drive the adoption of best practices for operationalizing data platforms, including data catalogs and tracing capabilities. Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements. Collaborate closely with development, test, documentation, and product management teams to deliver high-quality services. What You Will Bring 3-6 years of experience with a Bachelors or Masters degree in computer science or related fields. Experience with one or more of the following languages: Python, Scala, Java, Golang, or C++. Experience working with database technologies and optimizing workloads. Experience working with Big Data technologies, the Kubernetes ecosystem, and microservice patterns. An owner's mindset with a proven ability to work in a demanding, fast-paced environment. Solid understanding of SaaS technology development best practices, such as Agile. Learn More About the Technology: https://www.nutanixbible.com/ The pay range for this position at commencement of employment is expected to be between CAD $151,000 and CAD $227,000 per year. 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, Vancouver, 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.

What you’ll do

Requirements

Requires 3-6 years of experience and a Bachelor's or Master's degree in computer science or a related field. Candidates must have proficiency in at least one programming language such as Python, Scala, Java, Golang, or C++, along with experience in big data technologies and database optimization.