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Distributed Systems Software Engineer, Python / Go

Canonical

Charlotte (NC)

Remote

USD 90,000 - 115,000

Full time

10 days ago

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Job summary

An innovative firm is seeking a passionate software engineer to join their distributed systems team. This role offers the chance to develop resilient cloud applications and contribute to cutting-edge initiatives in AI/ML and CI pipelines. As part of a globally distributed team, you'll enhance testing tools and ensure the reliability of cloud solutions. With a strong focus on quality engineering, this position promises a dynamic work environment and opportunities for personal development. If you're eager to tackle complex challenges and drive impactful projects, this is the perfect opportunity for you.

Benefits

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 for travel to meet colleagues
Distributed work environment with team sprints

Qualifications

  • Experience with modern test processes and strategies.
  • Ability to develop and ship production-grade web applications.

Responsibilities

  • Create automated testing approaches for cloud orchestration tools.
  • Enhance CI pipelines for deploying Canonical's cloud products.

Skills

Python
Go
Continuous Integration
Object Oriented Development
Networking Technologies
Linux System Architecture
Abstract Thinking

Tools

Jenkins
CircleCI
GitHub CI
OpenStack
Kubernetes
Terraform
AWS

Job description

Distributed Systems Software Engineer, Python / Go

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Distributed Systems Software Engineer, Python / Go

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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

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