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.

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Financial Data Analyst

Belong

Location
Argentina
Posted

Financial Data Analyst at Belong: Work with large datasets, build reports and dashboards, develop SQL queries, analyze financial metrics, and automate data retrieval processes.

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Technology Partner Sales - Data Warehouse

Hightouch

Location
British Virgin Islands
Posted
Salary Range
121k - 220k USD

Drive sales pipeline from key data warehouse partners at Hightouch, leveraging creative strategies to collaborate on deals and execute campaigns for awareness and growth.

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Data Analyst - Accounting Analytics

Eventbrite, Inc.

Location
Ireland
Posted

Support Eventbrite's Accounting team by analyzing financial data, resolving discrepancies, and enhancing data quality through collaboration with cross-functional teams using tools like Tableau and Snowflake.

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Data Analyst - Shop Analytics

ABOUT YOU SE & Co. KG

Location
Germany
Posted

Analyze complex datasets, provide insights, support decision-making, and enhance data infrastructure within the Shop Analytics Team. Collaborate with stakeholders to drive business growth through data-driven strategies.

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Data Scientist (Search & Recommendation)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (Search & Recommendation) at Binance: Design and manage search recommendation services using machine learning.

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Sr Big Data Engineer Airflow and Oozie (GCP)

Rackspace

Posted
Salary Range
116k - 198k USD

Join Rackspace Technology as a Senior Big Data Engineer and work on scalable batch processing systems using Hadoop, Oozie, Airflow, and GCP. Enjoy remote flexibility and competitive compensation with excellent benefits.

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Data Annotation Specialist - Kurdish

Welocalize

Location
Turkey
Posted

Data Annotation Specialist - Kurdish language - Learn AI processes & gain experience with Welocalize's team

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Director of Data & Site Analytics

Newsela

Location
Brazil
Posted

Lead product analytics strategy, manage data availability for strategic decisions, oversee business intelligence reporting in Tableau, and provide leadership to the website team. Must have 10+ years of experience and fluency in Spanish/Brazilian Portuguese.

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Project Specialist (Data Operations)

Uberall

Location
Philippines
Posted

Join Uberall as a Project Specialist (Data Operations) and contribute to their location marketing platform. Collaborate with internal teams, manage large data sets, and ensure accuracy and integrity of the platform.

Uberall logo

Project Specialist (Data Operations)

Uberall

Location
Philippines
Posted

Join Uberall as a Project Specialist (Data Operations) and contribute to their location marketing platform. Collaborate with internal teams, manage large data sets, and ensure accuracy and integrity of the platform.

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Data Science- Intern

CommerceIQ

Location
India
Posted

Data Science Intern - Retail Media Management (RMM) at CommerceIQ

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Sr Manager, Salesforce Data Operations

Gitlab

Location
United States of America
Posted
Salary Range
111k - 238k USD

Lead Salesforce Data Operations at GitLab, manage territory operations, data enrichment, and cross-functional collaboration to optimize sales processes in a fully remote environment with competitive benefits.

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Entry-Level AI Data Rater - Italian (Italy)

Welocalize

Location
Italy
Posted

Freelance AI Data Rater - Italian (Italy) - Conduct research, evaluate e-commerce data, and rate its usefulness based on project guidelines.

Welocalize logo

AI Data Annotator - Portuguese (Brazil)

Welocalize

Location
Brazil
Posted

Freelance AI Data Annotator - Perform rating and annotation tasks for AI development process in Portuguese (Brazil) and English.

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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