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Principal Software Engineer

Engineering | Remote | Full Time | From $160,000.00 to $200,000.00 per year

Job Description

About Us:

ShareThis is a dynamic and innovative company focusing on solving complex data problems and building next-generation data and AI-driven products. Our services, handling terabytes of data and billions of requests daily, are designed to remain highly available and efficient. We manage our infrastructure using Kubernetes on AWS and build web applications and services with NodeJS, Python, GoLang, and Javascript. Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data.

Job Overview:

As a Principal Software Engineer at ShareThis, you will play a crucial role in defining the technical vision for our next-generation systems that operate at a global scale. This role offers the opportunity to influence a large group of product owners, software engineers, machine learning experts, and data scientists. You will be tasked with decomposing complex problems into simple and straightforward solutions, leading the architectural direction of our most ambitious ideas. Your decisions will significantly impact ShareThis’s business results and enhance the overall customer experience.


  • Develop and lead the technical vision for creating complex data products at scale.
  • Serve as a technical lead on demanding, cross-functional projects.
  • Ensure the high quality of architecture and design of systems.
  • Decompose complex problems into simple, straightforward solutions.
  • Understand system interdependencies and limitations comprehensively.
  • Possess expert knowledge in performance, scalability, distributed architecture, and engineering best practices.
  • Leverage internal and industry knowledge in design decisions.
  • Research and benchmark ShareThis technology against competing systems in the industry.
  • Contribute intellectual property through patents and privacy compliance.
  • Collaborate closely with product owners, software engineers, machine learning experts, and data scientists.


  • B.S. in Computer Science or equivalent.
  • 10+ years of professional software engineering experience.
  • Proven experience with the full development life cycle of large-scale software products, including extensive experience with service-oriented architectures, design patterns, and web services.
  • Expert knowledge of data structures, algorithms, distributed algorithms, and their practical use.
  • Proficiency in multiple modern programming languages such as Node JS, Python, GoLang, etc.
  • Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc.
  • Strong experience in AWS technologies.
  • Experience working in fast-paced, collaborative Agile teams.