Hungry, Humble, Honest, with Heart.
Welcome to Nutanix, Vancouver!
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
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Design and develop the next generation of Data Platform features for on-prem and cloud.
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Participate in data modeling discussions and influence data products roadmap to ensure the best solution for requirements from various service teams.
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Work across all components of a big data platform such as API gateway, message bus, databases and database abstraction layers
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Propose and drive adoption of best practices for operationalizing data platforms, including data catalog, tracing capabilities configuration-driven change, etc.
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Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark to satisfy requirements that cannot be solved by straightforward rules.
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Work closely with development, test, documentation, and product management teams to deliver high-quality products and services
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Collaborate with some of the finest engineers in the industry to work on complex challenges in large-scale computing
What You Will Bring
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3-6 years of experience with a Bachelors or Masters degree in computer science or related streams
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Experience with one or more of the following languages (Python, Scala, Java, Golang, C++)
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Experience working with Database technologies and optimizing workloads
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Experience working with Big Data technologies, Kubernetes ecosystem, and microservice patterns
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Having an owner's mindset and experience working in a fast-paced and demanding environment
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Good understanding and working experience in SaaS technology development best practices (such as Agile)
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Experience working with one or more of the cloud platforms (AWS, Azure, GCP, etc) is a plus
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Awareness of Data Marts, Data Lakes, and Data Warehouses 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 the commencement of employment is expected to be between CAD 128,800 and CAD 193,200 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.
