Sr. Software Engineer(Client Facing)

Company:  Anaconda, Inc.
Location: Anaconda
Closing Date: 19/10/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Summary

Anaconda is seeking a talented Sr. Software Engineer (Client Facing) to join our rapidly-growing company. This is an excellent opportunity for you to leverage your software-development and solutions-architecture skills to the Python open-source data-science, artificial intelligence, and machine learning ecosystems.

What You’ll Do:

  1. Be a key member of the Anaconda Professional Services team, solving problems for our customers using tools from the Python open-source ecosystem
  2. Apply modern artificial intelligence and machine learning techniques to address customer problems
  3. Maintain and extend open-source tools employed by the team, particularly Panel, Lumen, and the various HoloViz.org visualization libraries.
  4. Meet with customers directly to understand their needs and their current software systems
  5. Translate business requirements to software architecture and technical implementation
  6. Write technical documentation, public examples, blog posts, etc. as needed
  7. Other duties as assigned

What You Need:

  • Bachelor's degree or higher in Computer Science or a related field, or equivalent experience
  • 5+ years of relevant work experience
  • Fluency in Python
  • Experience with the data-science stack, e.g. Pandas, Jupyter, and other Python tools for data analysis
  • Experience with revision control systems (git/github, etc.)
  • Superior written and verbal communication skills
  • Embody our core values:
    • Great People
    • Great Product
    • Great Performance
    • Care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

  • Experience with CI, testing, and other automation tools
  • Experience with Large Language Models (LLMs) and other Generative AI approaches
  • Experience with Bokeh or HoloViz visualization tools
  • Experience with advanced Python data libraries such as Dask and Numba
  • Experience with extensions and tools for Jupyter or other notebook systems
  • Experience with Machine-Learning Operations tools (MLOps)
  • Experience with the Python packaging ecosystem (building pip or conda packages)
  • Experience or training in UX/UI/graphic design
  • Experience working in a client-facing environment
  • Experience working in a fast-paced startup environment
  • Experience working in an open-source, AI, Python, or data science-oriented company

Why You’ll Like Working Here:

  • Unique opportunity to apply commercial funding to advance the open-source ecosystem
  • Dynamic company that rewards high performers
  • On the cutting edge of enterprise application of data science, machine learning, and AI
  • Collaborative team environment that values multiple perspectives and clear thinking
  • Employees-first culture
  • Medical*, Dental*, Vision*, HSA*, Life* and 401K*
  • Paid parental leave - both parents
  • Monthly productivity stipend
  • Pre-IPO stock options
  • Quarterly Snake days (company-wide bonus day off)
  • 100% remote
  • *FTE employees based on your region

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our Privacy Policy and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Sydney Artt.

This job post expires 30 days from its original post date.

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