Python Software Engineer

Streetbees
Market Research meets Technology

Job details

  • Full-time
  • map markerLisbon, PT
  • EUR40.000 - 55.000
    Gross Anual Salary
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeIntermediate
  • routeRequired language: English
  • routeNice to have language: Portuguese
  • Full-stack Developer
  • tagMust Have: PythonOther Required: Amazon Web Services, Databases, Django, FlaskNice to Have: DevOps, PostgreSQL

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Intro

Description:

  • Streetbees is a tech start-up that is transforming how companies can gain insights into the markets for their products, to make better products that better provide for the needs of their customers. We are using machine learning and software engineering to create faster, lower cost, higher quality and more automated ways to gather information from people around the world, and to understand the patterns, trends, and opinions.
  • We work with Python for our data science and machine learning, Ruby and Elixir with ReactJS for our web apps and APIs and middleware, and Swift and Kotlin (our Android codebase is 100% Kotlin). Everything is entirely hosted in AWS, all repos in Github, everything containerized.
  • We are looking for engineers at both mid and senior experience levels as we are more driven by colleagues' contribution and skills than the length of service, and as a fast-growing start-up we have flexibility in exact skills requirements in order to build the best team. Successful candidates will probably have either significant data engineering (e.g. PySpark, Airflow, Pandas, etc), or web app engineering (e.g. Django, Flask, etc) backgrounds, or another background where Python is a leading tool for engineering purposes.
  • This is a fully hands-on position. This is not a role for a pure data engineer or data scientist though, it is a software engineering role and would particularly suit engineers who have significant experience outside of machine learning and a self-motivated interest in developing expertise in machine learning engineering, as a means to produce the new generations of software capability now possible by combining machine learning aspects with established engineering approaches.

Responsibilities: 

  • Hands-on design, development and support of world-class production Python solutions, both web application and machine learning. Contribution to standards about production-quality engineering and QA for Python solutions. Active pull request participation, branch management, other code reviews of other Python developers' work, etc.
  • Working with our DevOps team for production Machine Learning AI solutions (DevOps for machine learning is a new area for the industry, with little current conventional best practice, Streetbees expertise in ML creates a real opportunity to do leading-edge DevOps work productionising that). 
  • Development and support of data engineering platform, Python web applications and APIs, and machine learning platforms, all on AWS including using specialist ML accelerators
  • Being an active part of the group of engineers reviewing and making key tech design decisions, and coordinating work and operations 

Main requirements

Skills and Experience

  • Excellent Python knowledge and skills relative to level of experience, including both Python language technicalities, and the technical underpinnings of the Python platform, in particular including maintainability, performance and reliability
  • Years of commercial experience building and supporting large scale web, app and API platforms with Python relative to experience
  • Experienced with the AWS application suite (bonus points if you have experience with devops technologies around it such as Docker, Kubernetes and Terraform)
  • Experienced with relational, but also NOSQL, databases (bonus points for Postgres specifically). The more knowledge of data processing, vectorisation and machine learning frameworks the better.
  • Experience with requirements specification, Python testing tools, with software design patterns, with Agile development processes 

Nice to have

  •  Any experience with machine learning engineering using Tensorflow, Keras and PyTorch would be a large advantage but is not required if someone has strong Python software engineering knowledge in another of the common Python use cases (e.g. web development and data engineering).

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