Engineering

Site Reliability Engineer

Mumbai   |   Full Time

Pepper (www.peppercontent.in) is building India’s largest content marketplace that brings companies and content creators together to scale up content creation processes across 10 content verticals and 150+ content categories, 40+ content verticals, and 40+ global languages. Over the past 3 years, we’ve worked with brands like Adobe, upGrad, Swiggy, Dunzo, BusinessWorld, Digit,  Shiksha.com, Rapido, BookMyShow, UrbanClap, Yatra, Bewakoof, YourStory, Bharat Matrimony, and 300+ other brands. We have over 30,000+ writers and graphic designers who have applied to Pepper so far, who form part of the ‘Pepper Cloud’.

 

We are on the path to building a global on-demand content marketplace platform that allows for collaboration, discovery, and upskilling for all our creators. Now we are in a rapid expansion phase to enter into more content service offerings, engage a wide spectrum of content creators and at the same time, scale up our existing services. 


Job Responsibilities:

  • Run the production environment by monitoring availability and taking a holistic view of system health
  • Build software and systems to manage platform infrastructure and applications
  • Improve reliability, quality, and time-to-market of our suite of software solutions
  • Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
  • Provide primary operational support and engineering for multiple large distributed software applications
  • Drive cross-team alignment across development teams around reliability initiatives

 

The ideal candidate must -

  • Bachelor’s degree in computer science or other highly technical, scientific discipline
  • Ability to program (structured and OO) with one or more high level languages, such as Python, Java, C/C++, Ruby, and JavaScript
  • Good experience with microservices architecture and serverless technologies
  • Exposure to event driven architecture and state machines
  • A proactive approach to spotting problems, areas for improvement, and performance bottlenecks

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