Distributed Systems Software Engineer, Python / Go

Canonical; Leipzig; Remote; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

Canonical is seeking a Distributed Systems Software Engineer to develop resilient systems using Python and Go. The role involves creating automated testing for cloud orchestration tools and enhancing CI pipelines, with opportunities for international travel and working in a diverse, remote team.

Leistungen

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues

Qualifikationen

• Solid background in modern test processes and strategies.
• Experience with Python or Go development.
• Strong object-oriented development skills.

Aufgaben

• Create automated testing approaches and infrastructure for validating cloud tools.
• Enhance continuous integration pipelines for deploying Canonical’s products.
• Deploy, manage, and debug highly distributed systems.

Kenntnisse

Python

Go

Continuous integration

Networking technologies

Linux system architecture

Data analytics

Test automation

Tools

Jenkins

CircleCI

GitHub CI

OpenStack

Kubernetes

Terraform

AWS

Jobbeschreibung

Distributed Systems Software Engineer, Python / Go

3 months ago Be among the first 25 applicants

We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.

We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.

The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.

As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results. A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.

Location: this is a Globally remote role

What your day will look like

• Create automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applications
• Enable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the company
• Enhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as Kubeflow
• Deploy, manage, and debug highly distributed systems
• Monitor and report on automated testing efforts
• Collaborate daily with a globally distributed team
  
  

What we are looking for in you

• Solid background in modern test processes and strategies
• Experience with Python or Go development
• Strong object oriented development skills
• Ability to develop and ship production grade modern web applications
• Working knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CI
• Knowledge of networking technologies and fundamentals
• Solid understanding of Linux system architecture
• A capacity for complex abstract thinking
• Capability for 2-4 weeks of international travel travel per year
  
  

Additional skills that you might also bring

• Collecting and analyzing large multidimensional datasets
• Operating data platforms: key-value stores, relational or document databases, event buses
• Work with cloud technologies such as OpenStack, Kubernetes, Terraform and AWS
• Developing AI/ML pipelines
  
  

What we offer you

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues from your team and others
• Priority Pass for travel and travel upgrades for long haul company events
  
  

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Canonical by 2x

Get notified about new System Software Engineer jobs in Leipzig, Saxony, Germany.

Junior Software Engineer - Cross-platform C++ - Multipass

Software Engineer - Solutions Engineering

Software Entwickler .NET & Cloud (m/w/d)

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.