Senior Software Engineer - Digital Workplace

Canonical

Antwerpen

À distance

EUR 60 000 - 80 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Personal learning and development budget of USD 2,000 per year
Annual compensation review
Performance-driven bonus/commission

Résumé du poste

A leading tech firm is seeking a Senior Software Engineer to join the Workplace Engineering team. You will design web-based systems and collaborate with distributed teams, focusing on improving workflows and implementing innovative solutions. The ideal candidate has expertise in backend programming with Python and Node.JS, alongside strong analytical skills and a passion for continuous improvement. This role offers a distributed work environment with opportunities for personal development and performance bonuses.

Qualifications

  • Expert in backend service programming using Python and Node.JS.
  • Solid understanding of HTML, CSS, and JavaScript.
  • Experience in data analytics and machine learning is a plus.

Responsabilités

  • Design and deliver web-based systems and SAAS.
  • Collaborate with a distributed team.
  • Provide high-quality code reviews.

Connaissances

Backend web service programming in Python
Backend web service programming in Node.JS
Web development technologies (HTML, CSS, JavaScript)
Data analytics
Natural language processing

Description du poste

Overview

Senior Software Engineer - Digital Workplace at Canonical. Join Canonical to contribute to the Workplace Engineering team, which specializes in web architecture and analytics to empower colleagues, managers and executives with dashboards, analytics and improved workflows.

Responsibilities
  • Design and deliver web-based systems and SAAS
  • Provide new insights into the Canonical workplace experience
  • Enable new processes and improve existing workflows
  • Collaborate proactively with a distributed team
  • Write high-quality code to create new features
  • Debug issues and produce high-quality code to fix them
  • Provide high-quality code reviews to other engineers
  • Discuss ideas and collaborate on finding good solutions
  • Estimate work, set goals and meet them
  • Write project specifications and epics; understand risks
  • Understand completion criteria and push work to completion
  • Coach, mentor and provide feedback to more junior team members while developing yourself
  • Connect to many data sources and provide insightful visualisations
  • Database design and architecture for connected systems
  • Develop new and improved working practices across the company
  • Provide tooling to support optimised processes
  • Demonstrate passion for the work and continuous improvement
Who You Are

To be successful in this team you must be an expert in two or more of the following:

  • Backend web service programming in Python and Node.JS
  • Solid understanding of web development technologies (HTML, CSS, JavaScript)
  • Data analytics and statistical analysis
  • Natural language processing, sentiment analysis, machine learning
  • Data visualisation

The ideal candidate will use their passion for experimentation and analytics to help improve the experience of working at Canonical. This role requires an analytical, data-driven mindset and leadership to mentor others in the team.

What We Offer
  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2,000 per year
  • Annual compensation review and performance-driven bonus/commission
  • Additional benefits aligned with Canonical values and global fairness
About Canonical

Canonical is a pioneering tech firm at the forefront of open source. We publish Ubuntu and operate on a global basis with a high standard for excellence. Most colleagues have worked from home since our inception in 2004. Working here challenges you to think differently, work smarter, and continuously develop new skills.

Equal Opportunity

Canonical is an equal opportunity employer. We are committed to a workplace free from discrimination and will give every applicant fair consideration regardless of identity.

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