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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Software Engineer - Data Infrastructure

Canonical

Location
Cameroon
Posted

Join Canonical's globally remote team as a Software Engineer - Data Infrastructure and contribute to the creation of fault-tolerant data platforms using Python.

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Director, Software Engineering - Data Infrastructure

Figma

Location
United States of America
Posted
Salary Range
316k - 381k USD

Lead Data Infrastructure engineering organization at Figma, defining roadmap & technical strategy for next-gen data infrastructure

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Software Engineer II (Hybrid, Toronto)

OpenTable

Location
Canada
Posted
Salary Range
95k - 112k USD

Mid-Level Software Engineer for web development using Node.js, React, Redux, Fastify, GraphQL, and TypeScript

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Safety Officer with Data Center experience

Myriad360

Location
United States of America
Posted
Salary Range
110k - 130k USD

Safety Officer: Develop and enforce site-specific safety plans, conduct weekly safety seminars, and ensure compliance with OSHA standards.

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Security Operations Center Engineer

HiveMQ

Location
Germany
Posted

Lead HiveMQ's Security Operations Center and manage incident response actions with expertise in IoT data analysis and security events.

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Data Engineer

Reka

Location
Singapore
Posted

Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.

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Data Engineer

Yuno

Location
Chile
Posted

Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.

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Data Engineer

Pagos

Location
Croatia
Posted

Build and maintain scalable data pipelines using technologies like SQL, Redshift, Apache Spark, and cloud platforms. Collaborate with backend engineers and contribute to our payments platform.

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Data Engineer

Red Canary

Location
United States of America
Posted
Salary Range
117k - 135k USD

Design and build scalable data infrastructure at Red Canary. Develop and manage data products, ensuring high-quality data for cross-functional teams to drive innovation and growth.

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Data Engineer

Eneba

Location
Lithuania
Posted
Salary Range
48k - 72k EUR

Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.

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Data Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as a Data Engineer to design scalable data pipelines and implement ML algorithms for their advertising platform. Enjoy competitive salary, equity, RRSP matching, health benefits, work from home support, training programs, mentorship, and a supportive culture in this remote-first role.

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Area Pre-Sales Engineer

Ajax Systems

Location
France
Posted

Join Ajax Systems as a Product Manager to lead technical seminars, develop product strategies, and foster relationships with key partners while working with cutting-edge security technologies.

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Senior Cloud Infrastructure Engineer

SADA India

Location
India
Posted

Senior Cloud Infrastructure Engineer at SADA India: Deliver high-quality infrastructure projects on Google Cloud Platform

Nuna logo

Senior Data Engineer

Nuna

Location
United States of America
Posted
Salary Range
162k - 198k USD

Design and implement scalable data platforms for value-based care at Nuna. Work on production-hardened systems, mentor junior engineers, and collaborate with a team to drive innovation in healthcare technology.

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Senior Data Engineer

Wealthfront

Location
United States of America
Posted
Salary Range
185k - 228k USD

Design and maintain core datasets at Wealthfront, collaborate with cross-functional teams, ensure high-quality data for impactful decision-making, and contribute to building a best-in-class data infrastructure.

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Senior Data Engineer

Goodnotes

Location
Brunei Darussalam
Posted

Data engineer position at Goodnotes, building data pipelines and analytics infrastructure with expertise in ETL, ELT, distributed systems, and big data solutions.

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Senior Data Engineer

Kueski

Location
Mexico
Posted

Data Engineer en Kueski: Diseña soluciones sólidas y escalables basadas en datos para respaldar las necesidades a largo plazo de los consumidores de datos. Salario competitivo, bienestar y tiempo de trabajo flexible.

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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