Remote Jobs

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MAAS Data Center Infrastructure Engineer (Toronto area)

Canonical

Location
Canada
Posted
Salary Range
2k - 2k usd

Data Center Infrastructure Engineer at Canonical, responsible for operating automated server labs and collaborating with teams to certify hardware for Ubuntu.

ABOUT YOU SE & Co. KG logo

Senior Data Analyst - Shop Analytics

ABOUT YOU SE & Co. KG

Location
Germany
Posted

Analyze complex data sets to provide actionable insights for business decisions, collaborate on product strategies, and optimize data infrastructure within the Shop Analytics Team.

ABOUT YOU SE & Co. KG logo

(Senior) Data Analyst - Shop Analytics

ABOUT YOU SE & Co. KG

Location
Germany
Posted

Analyze e-commerce data to drive insights and improve user experience at ABOUT YOU. Support business goals through tracking requirements, dashboards, attribution models, A/B testing, and segmentation strategies. Use tools like SQL, Google Looker Studio, GA4, Python, BigQuery, and Git.

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Data Solutions Director

Rackspace

Location
United States of America
Posted
Salary Range
202k - 355k USD

Lead AI and Data Engineering solutions for enterprise customers on AWS, Azure, or GCP

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Research Data Analyst

Binance

Location
Brunei Darussalam
Posted

Research Data Analyst at Binance: Build sophisticated visualizations, machine learning models & analyze large volumes of on-chain data

Binance logo

Senior Data Scientist (Onchain Analytics)

Binance

Location
Brunei Darussalam
Posted

Senior Data Scientist (Onchain Analytics) at Binance: Lead compliance systems development and drive operational effectiveness

Constructor logo

Data Analyst: Marketing & Data Storytelling (Remote)

Constructor

Location
Anywhere in the world
Posted

Data Analyst at Constructor: Analyze ecommerce trends, develop data-driven narratives, and create visualizations to inform retailers and industry professionals.

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Senior Practice Manager - Data Engineering

Rackspace

Location
United States of America
Posted
Salary Range
180k - 308k USD

Lead data engineering practice across AWS & GCP platforms, develop data solution strategies, and deliver successful outcomes for clients

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Principal Data Analyst

Udacity

Location
United States of America
Posted
Salary Range
143k - 148k USD

Principal Data Analyst at Udacity

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Data Conversion Developer

SpryPoint

Location
Canada
Posted

Data Conversion Developer at SpryPoint: Lead data conversion development, collaborate with business analysts, and optimize data conversion processes using Python and relational databases.

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Director - Data Science

OpenX

Location
United States of America
Posted
Salary Range
213k - 250k USD

Lead OpenX's Machine Learning initiatives as a Data Science Director, driving innovation in digital advertising with a focus on high-impact ML products.

Upwork logo

Director - Data Science

Upwork

Location
United States of America
Posted

Director of Data Science & Marketplace Dynamics at Upwork: Harnessing machine learning to drive data-driven decisions and shape the future of work.

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Junior Data Analyst

Enveritas

Location
Brazil
Posted

Join Enveritas as a Junior Data Analyst and contribute to their mission of improving coffee sustainability through data-driven insights.

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Business Data Analyst

SwissBorg

Location
Croatia
Posted

As a Business Data Analyst at SwissBorg, you will leverage data to drive business growth by identifying opportunities, analyzing user behavior, and collaborating with teams to implement strategies that enhance our platform and user experience. Join us in shaping the future of digital wealth management.

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Senior Technical Architect – Data Analytics

TTEC Digital

Location
India
Posted

Senior Technical Architect for Data Analytics team in Hyderabad, India, with experience leading projects and teams, and technical skills in Python/PySpark, SQL, Azure or GCP or AWS, DevOps, and SaaS products.

reserv logo

Sr. Data Analyst

reserv

Location
Georgia
Posted

Senior Data Analyst at Reserv: Use AI & automation to simplify claims with Python, SQL, Postgres, and more.

Spotify logo

Data Scientist II - Client Platform

Spotify

Location
Sweden
Posted

Join Spotify's Platform team as a data analyst & report builder, working closely with cross-functional teams to drive growth & scalability.

reserv logo

Data Analyst, UK

reserv

Location
United Kingdom
Posted

Data Analyst at Reserv: Automate claims processing using AI & automation tech, deliver data management solutions, and shape company culture.

Canonical logo

MAAS Data Center Infrastructure Engineer (Toronto area)

Canonical

Job Location

Salary Range

2k - 2k usd / YEAR

Job Summary

Canonical is seeking a Data Center Infrastructure Engineer to build and maintain MAAS test labs in Toronto. The role involves operating automated server labs, maintaining hardware inventory, and collaborating with teams to certify hardware for Ubuntu. The ideal candidate has a STEM background, experience with Linux administration, Python programming, and data center operations. They should also be able to communicate effectively and work with a globally distributed team. This is a remote-based role with on-site requirements in Toronto, offering flexible work arrangements, professional development opportunities, and competitive compensation.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1100+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder led, profitable and growing.

Location: This is a remote based role. We expect the suitable candidate to be based in Toronto as you will be required to work on-site at our lab 4-6 days per calendar month.

We are hiring a Data Center Infrastructure Engineer to build and maintain MAAS test labs. As a Data Center Infrastructure Engineer in Canonical, you will be responsible for the day-to-day management and operations of our lab in the Toronto area, which we use for Ubuntu server certification of US based silicon and server designs. You'll use software that deploys and configures servers and network switches to operate the data centre and update its configuration, make sure the hardware and cabling is perfectly organised and inventoried, handle hardware deliveries and their onboarding and commissioning. You will work with a mixture of hardware: cutting edge new silicon that Kernel Team and Partner Engineering teams work on to make them run Linux extremely well, as well as established hardware to make sure new versions of Ubuntu are smooth and fast. We run our data centres using software-driven operations, and you need to be familiar with Python software development to be effective in this role. If you love hacking in your home lab, have good Python skills, and are curious about data centre hardware, you will love this opportunity. 

The role entails

  • Operate a fully automated server lab with the latest server and network silicon from leading vendors, remotely and while on-site, making sure it remains available to other teams.
  • Maintain accurate inventory and layout of the hardware in the data centre.
  • Receive, install and configure new hardware.
  • Actively exercise MAAS functionality by using integrations with testing and scheduling software such as Testflinger. Report issues and assist in troubleshooting.
  • Use your Python development skills to enhance software-driven operations of the data centre.
  • Improve and extend hardware and network monitoring through automation.
  • Collaborate with other MAAS engineers, other data centre hardware specialists, teams responsible for certifying hardware for Ubuntu, kernel engineers and other teams who use the hardware lab.

What we are looking for in you

  • STEM Bachelor’s degree, preferably in Computer Science or Software Engineering
  • Excellent organisational skills
  • Attention to detail
  • Data centre experience
  • Linux Administration experience
  • Python programming experience
  • Ability to communicate clearly and effectively in English
  • Ability to work with a globally distributed team of passionate engineers
  • An exceptional academic track record from both high school and preferably university
  • Willingness to travel up to 4 times a year for internal events

Nice-to-have skills

  • Troubleshooting skills
  • Systematic approach to testing
  • Love for performance engineering

What we offer colleagues

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
  • 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
  • Priority Pass, and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

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