Jump Cloud

Senior Software Engineer, Growth Engineering - India

Job Description

What you’ll be doing

You’ll have the opportunity to learn and work in our entire tech stack, with a focus on the front end of our customer facing web apps. You’ll cross-functionally collaborate to contribute to ideas, approach, sizing, design, implementation, and validation of new or enhanced features and experiments. You’ll leverage and enhance usage analytics as a means to better understand our customers and as a measure of effectiveness of our outcomes. You'll work in a highly collaborative Agile team with a focus on delivering incremental value often. Together we are building the future of cloud-based secure access to apps and IT resources for people working anywhere.


We’re looking for:
  • 8+ years of industry/production programming experience.
  • Bachelor’s or Master’s degree, preferably in Comp Sci, or equivalent training / experience.
  • Skilled in web app front end development (HTML, JavaScript, CSS), ideally using Vue.js framework, or other frameworks with a desire to learn Vue.js.
  • Experience in back end service development, ideally using NodeJS and/or Golang, or other languages (Java, JavaScript, Python, C, or C++)  with a desire to learn NodeJS and Golang.
  • Experience in database development, including relational and non-relational databases.
  • Experience or willingness to learn test automation development, including unit tests and BDD automated acceptance tests. Python knowledge is a plus.
  • Ability and willingness to mentor others to become more effective software engineers.
  • Excellent communication, organizational, and interpersonal skills with the ability to be productive in a collaborative cross-functional team using Agile/Scrum.

    • Bonus if you have the following:
  • Skilled at collaborating with UX Designers and delivering awesome UX.
  • Experience developing large-scale web applications, SaaS applications in the cloud (AWS a plus) or large, distributed systems. 
  • Experience with A/B testing techniques in an environment that uses customer and system analytics data to drive iterative product development. 

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