- Job Type: Full-Time
- Function: Engineering Software
- Industry: Data Infrastructure
- Post Date: 11/20/2023
- Website: nexla.com
- Company Address: N Ellsworth Ave, San Mateo, CA, 94401
- Salary Range: $50,000 - $150,000
About Nexla
Nexla is the leader in unified data operations and a 2021 Gartner Cool Vendor.Our platform makes it simple for anyone to create scalable data flows. Teams working with data get a no/low-code unified experience to integrate, transform, provision, and monitor data for any use case.
Job Description
The Opportunity
Nexla’s Data Operations Platform is the data infrastructure for companies collaborating with a large number of partners is a core element of the business, whether it drives Machine Learning & AI or business operations. As an intelligent infrastructure service creating smart data pipes, we deal with high volumes of data across different types of cloud and on-premise infrastructure. This is a unique opportunity to create industry-leading infrastructure innovation working with the latest technology in containerization, microservices, and multi-colo deployments.
Requirements
What You Bring to the Nexla Team
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5+ years of overall software development experience with a minimum of 3 years of core java backend technologies
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A strong understanding of algorithms and data structures, and their performance characteristics
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Proficiency in working and developing on Linux
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Experience supporting operations teams with deployments and debugging production issues
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Experience responding to feature requests, bug reports, performance issues, and ad-hoc questions
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Great interpersonal, written, and verbal communication skills; including the ability to create technical specifications, debate technical tradeoffs and explain technical concepts to business users
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Bachelor’s degree in Computer Science, Engineering (or equivalent professional experience)
Bonus Points for Bringing More to Nexla
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5+years of experience working with Hadoop/Kafka/Hbase/MapReduce with Java
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Experience in building stream processing systems with Spark, Storm, or any other streaming technology
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Experience in building backend systems for an Internet startup ad technology company
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Experience with cloud infrastructure like Amazon Web services, Google Compute Engine
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Experience with NoSQL data stores