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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R-12711 Data Engineer III

Rackspace

Location
Viet Nam
Posted

Data Engineer II at Rackspace Technology: Design & implement data systems using cloud services & programming languages like Python, Scala, or Java.

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Payment Infrastructure Manager

Finom

Location
Cyprus
Posted

Payment Infrastructure Manager at Finom: Define payment infrastructure for new products, develop strategic relationships, and optimize performance.

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Technical Manager Infrastructure

Rackspace

Location
United States of America
Posted
Salary Range
116k - 198k USD

Lead technical infrastructure services for clients and customers, manage customer retention and operational processes.

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Senior Product Data Scientist

Heetch

Location
Algeria
Posted

Join Heetch as a Product Data Scientist and drive business growth with data-driven decisions

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Senior Site Reliability Engineer (Big Data)

Binance

Location
Brunei Darussalam
Posted

Senior Site Reliability Engineer (Big Data) at Binance: Design & improve Big Data infrastructure/services with automation components, Linux, computer networks, and programming languages.

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Senior Data Scientist - Consumer

Reddit

Location
United States of America
Posted

Senior Data Scientist at Reddit: drive product strategy through data analysis and experimentation

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Data Services Specialist

COMPLY

Location
United States of America
Posted
Salary Range
55k - 65k USD

Assist clients with data reconciliation projects, maintain site configurations, and lead multiple projects to meet deadlines while utilizing tools like Salesforce, Jira, and Python. Enjoy comprehensive benefits and remote work flexibility at COMPLY.

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Frontend Engineer (Data team)

Binance

Location
Brunei Darussalam
Posted

Frontend Engineer (Data team) at Binance: Build AI platform, optimize business iteration, and collaborate with world-class talent.

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Senior Data Engineer – 100% Remote EMEA

Hostaway

Location
Cameroon
Posted

Senior Data Engineer role at Hostaway, leading data engineering practice for analytics across the company, with experience in dbt, Airflow, Fivetran, Google Cloud data ecosystem, and BigQuery services.

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Korean Data Labler

Welocalize

Location
Korea (South)
Posted

Flexible remote data labeling work opportunities for Korean speakers

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Senior Product Manager, Data

reserv

Location
Georgia
Posted

Senior Product Manager, Data at Reserv, driving data-centric products with strong analytics skills, customer focus, and agile methodologies.

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Senior Data Scientist, Hungary

Signifyd

Location
Hungary
Posted

Senior Data Scientist at Signifyd: build production ML models, collaborate with engineering teams, and improve e-commerce shopping experience.

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Lead Data Scientist

Simple app

Location
Cyprus
Posted

Lead Data Scientist at Simple: Enhance AI algorithms, lead projects, and advance personalization using strong data analysis skills and expertise in modeling.

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Lead Data Scientist

Upwork

Location
United States of America
Posted
Salary Range
158k - 184k USD

Lead Data Scientist role at Upwork, analyzing marketplace dynamics with data science expertise

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Senior Data Scientist - Product Analytics

VRChat

Location
Anywhere in the world
Posted

As a Senior Data Scientist at VRChat, drive strategic decisions using data analysis across growth, user experience, creator, and economy verticals. Collaborate with cross-functional teams to enhance product features and campaigns in a fully remote environment.

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Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

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Data & Analytics Lead

Skillshare

Location
Canada
Posted
Salary Range
120k - 143k USD

Lead data-driven insights at Skillshare, partner with cross-functional teams, and support strategic decision-making using SQL and BI tools like Looker, Tableau, or Power BI. Join a culture of collaboration and innovation.

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Data Scientist - Product Analytics

Whatnot

Location
United States of America
Posted
Salary Range
158k - 205k USD

Data Scientist - Product Analytics at Whatnot: drive growth and improve user experience through data science methodologies

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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