Software Engineer, DevOps & Infrastructure

Nexla

Remote
  • Job Type: Full-Time
  • Function: IT
  • Industry: Data Infrastructure
  • Post Date: 05/25/2023
  • 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

  • Strong Computer Science fundamentals with deep understanding of performance in compute, storage, networking, and distributed systems.

  • Excellent system administration and scripting skills to be hands on a small team of very smart engineers

  • Experience working with Big Data, Streaming Data, Data Pipelines, and most importantly Data Security

  • Ability to manage and scale in cloud, VPC, on-premise, and hybrid environments

  • Hands on experience with container based, kubernetes managed deployments in AWS, GCP, and On-premise

  • Process driven with the right mix of skepticism and optimism.

  • Ability to deliver three to five 9s of SLA across large number of customers

  • Scale, redundancy, performance, and recovery are the 4 pillars of everything you evaluate, design, or build.

  • You can code, you can script, and what you don’t know you can learn quickly

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