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Posted on: 16 October 2023
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*This position can be remote within the US*
What we’re looking for…
Are you an ambitious software engineer who can wield APIs like a Jedi? Does making a data lake into an elegant dashboard sound like your kind of challenge? You will play a critical role in the development of our industry leading AIOPs operations solution.
Who we are…
ScienceLogic scored a leadership position in the “The Forrester Wave” Intelligent Application and Service Monitoring report. We are a small, nimble software company reinventing the way companies manage their hybrid cloud data and systems.
What you’ll be doing…
Managing today’s hybrid cloud IT infrastructure can be complex and chaotic. As a Software Engineer with ScienceLogic, you will play an integral role in developing the solution by creating clarity and visibility for managing on-prem and multi-cloud infrastructure for some of the largest companies and service providers in the world.
Qualities you possess…
You’re a self-starter, a problem solver, a rockstar coder, have excellent time-management skills and are open and collaborative. Plus you’ve got the following:
Benefits & Perks
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.
About ScienceLogic
ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.
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