6 hours ago
Vancouver, CanadaSenior
Responsibilities
- Design and develop next-generation data platform features for on-premises and cloud environments.
- Participate in data modeling discussions and influence the data products roadmap.
- Work across big data platform components including API gateways, message buses, databases, and database abstraction layers.
- Propose and drive adoption of best practices for operating data platforms.
- Author Apache Spark jobs to implement prerequisite data engineering.
- Build and maintain an observability and telemetry platform for proactive infrastructure and application monitoring.
Requirements
- 3–6 years of experience with a bachelor’s or master’s degree in computer science or a related field.
- Experience with one or more of Python, Scala, Java, Golang, and C++.
- Experience with database technologies and workload optimization.
- Experience with big data technologies, the Kubernetes ecosystem, and microservice patterns.
- Good understanding of and hands-on experience with SaaS technology development best practices.
Benefits
- Hybrid work arrangement combining remote work with onsite collaboration.
- In applicable locations, employees are expected to work onsite at least 3 days per week; workplace type may vary by location and team requirements.
- Distributed team across India and the US with opportunities for cross-geography collaboration, mentorship, autonomy, and ownership.
Tech Stack
Categories
BackendData Engineering
About Nutanix
Nutanix is a global leader in cloud software, offering organizations a single platform for running apps and data across clouds. With Nutanix, companies can reduce complexity and simplify operations, freeing them to focus on their business outcomes. Building on its legacy as the pioneer of hyperconverged infrastructure, Nutanix is trusted by companies worldwide to power hybrid multicloud environments consistently, simply, and cost-effectively. Learn more at www.nutanix.com or follow us on social media @nutanix.