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Software Engineer II - Commercial

We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us?

We are looking for a talented engineer to join our commercial systems team with experience in building, deploying, integrating and operating SaaS platforms in the financial and sales domain. You will work together with a team of engineers, data scientists and stakeholders to design, implement and evolve our enterprise revenue platform that sits at the core of our commercial practices.

To succeed in this role you should have an established engineering background with a focus on systems and data integration utilising modern cloud and SaaS-based platforms.

In your role:

  • You will design, implement and deliver highly scalable solutions based on modern cloud-based architectures
  • Support, optimise and automate our internal processes to assist in protecting the Trustpilot community and its users
  • Partner with data scientists, engineers and stakeholders across the organisation to define high impact solutions and deliver high-quality systems and pipelines
  • Identify opportunities and implement best practices to continuously improve our existing systems
  • Participate in scaling and upgrading our services to meet an increasing global demand
  • Participate in introducing new technologies and ways of working to keep us well ahead of our competition
  • We are looking for:

  • Background in developing robust and scalable data/system integrations and orchestrations
  • Experience with modern cloud architectures (serverless first, event-driven) in AWS & GCP
  • Proficiency in engineering best practices (CI/CD, observability, configuration management, test automation)
  • Proven experience with at least one of the following programming languages (Python, Typescript, Javascript, etc.)
  • Solid analytical and critical thinking skills, combined with the ability to present your ideas clearly and compellingly in both verbal and written form
  • Experience communicating closely with users and other technical teams
  • Familiarity with agile ways of working
  • Ability to be pragmatic, get things done and pick up new tools and technologies quickly
  • Experience with Salesforce platform (Apex, SOQL, Lightning, process builder) is ideal
  • Our teams:

    A group of motivated engineers working in cross-functional teams while still enjoying the close-knit community within the Research & Development organization, where we share both knowledge, delicious food and foosball matches. With a wide variety of cultures in our team, we get to enjoy many different viewpoints, and our talks are always lively and fun.

    A typical week for you will involve a planning meeting within your team, where you discuss the current tasks at hand and align on what creates the most value towards our current goal, and daily stand-ups where you can discuss the progress of your current tasks as well as any issues you might see.

    You will also have regular 1-on-1s with your manager, where you will be able to work on your personal growth and development, by setting clear goals, receiving actionable feedback and discussing possible learning resources and opportunities.

    We offer:

  • "20% time" - be the most innovative you can be and work on anything you'd like!
  • Continuously deliver software that you build, within days of development
  • Work with technologies such as AWS Lambda, DynamoDB, AirFlow, BigQuery and other data engineering/data analytics tools
  • Technology-agnosticism. Use the best tools for the job!
  • A key part of an exciting international growth journey
  • Opportunities to learn from the best and develop your career
  • Regular hackathons
  • Some of the technologies and services we use

  • AWS, Google Cloud Platform, Docker, ECS, Lambda, SNS, SQS, Step Functions, and more
  • Trello (for all project management, and a lot of other things), Git, GitHub
  • Machine Learning, AI, Google TensorFlow, BigQuery, Kafka, Airflow
  • Javascript (SPAs, Node.js, ES6/ES7, frontend), Python
  • MongoDB, DynamoDB, Redis, Elastic Search
  • Style Components, CSS Module, Component Library
  • React, Redux, AngularJS, Bootstrap, Foundation, SASS
  • Salesforce, Segment, Hubspot, Totango, Customer.io
  • Find out more on http://stackshare.io/trustpilot


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