Engineering (R&D)

Software Engineer - Full Stack

Bengaluru, Karnataka   |   Full Time
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast. Our Engineering team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment. 

As a Full-stack engineer, you will work across the Acceldata platform products. We’re looking for people with a strong background or inclination towards data engineering and systems; you’re comfortable in dealing with lots of moving pieces and can work at the  intersection of Databases, API's and Frontends
              

You will:          

  • Design, build and maintain APIs, user-facing experiences, and services.
  • Work with MVC frameworks such as React or Angular 
  • Work with database systems, RDBMS, Mongo, Elastic Search.
  • Develop shared front-end components (JavaScript & CSS) for use across all of our products, enabling other UI engineers to build better products faster.
                                 

You need:      

  • 5+ years of significant of web-application development experience in one or more JS frameworks. You care about building better products.
  • Strong Computer Science fundamentals in data structures, algorithm design, and problem-solving.
  • You're as comfortable writing plain JavaScript as working with modern frameworks like Angular. You've built your own controls and widgets in JavaScript. 
  • You write unit tests for your JavaScript (really, you do). You've probably used Node. You have built complex JS web applications.
  • Organized, thorough, and detail-oriented 

Good to have:

    Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

  • Familiarity with technologies such as Elasticsearch, Mongo, Kafka, Hive, Redis, AWS
  • Good understanding of the JVM ecosystems and languages 
  • Experience working with public cloud systems such as AWS, GCP or Azure
  • Knowledge of large-scale, data-heavy distributed systems.

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