Software Engineer - Talent Science at Canonical

• We are seeking a software engineer, passionate about improving the hiring process by delivering productivity initiatives using analytics and data science. In this role, you will have the opportunity to make significant contributions through high-quality code while exhibiting technical leadership, exceptional design, and intuitive project documentation.
• As a Software Engineer focused on recruitment, you will be responsible for designing and maintaining a variety of web architecture, system integration and data science products. Building new hiring tools, dashboards and supporting analytics to enrich the hiring pipeline, enabling everyone at Canonical to make better decisions and deliver better work. You will work closely with the best and brightest developers within our company, ensuring that the solutions we build are well crafted, easy to use and scale to production workloads.

Location: This is a globally remote role.
What your day will look like

• Write high-quality, well-designed software
• Enable new processes and improve existing workflows
• Collaborate proactively with a globally distributed team
• Consistently provide high-quality code reviews to other engineers
• Display technical leadership internally and within our external communities
• Debug issues and produce high-quality code to fix them
• Discuss ideas and collaborate on finding good solutions
• Connect to many data sources and provide insightful visualisations
• Database design and architecture for connected systems
• Providing tooling to support optimised processes
• Work remotely from home with global travel for 2 to 4 weeks for internal and external events

What we are looking for in you

• Experience writing backend programming in Python and Node.JS
• Experience with Application Tracking Systems (ideally Greenhouse) or HR IT products.
• Passion, thoughtfulness, and self-motivation
• Excellent interpersonal skills, curiosity, flexibility, and accountability

Additional Skills That You Might Also Bring

• Experience with Data analytics and statistical analysis
• Experience with Natural language processing, sentiment analysis, machine learning
• Experience with Data visualisation
• Understanding of build systems and toolchains, including system design
• Experience integrating with system APIs
• Strong database design and architecture experience