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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Area Sales Manager

Gitlab

Location
Cameroon
Posted

Area Sales Manager at GitLab: lead sales team, sell into new customer accounts, maintain relationships with key decision-makers

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Senior Marketing Data Engineer/Analytics Engineer

Automattic

Location
Brazil
Posted
Salary Range
90k - 150k USD

Marketing Data Engineer at Automattic: Design ETL pipelines, ensure data quality, and establish scalable data architecture for marketing data unification.

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Senior/Staff Data Engineer

StackAdapt

Location
United States of America
Posted

Join StackAdapt as a Senior/Staff Data Engineer to build scalable ML pipelines, implement algorithms, and contribute to innovative advertising solutions in a collaborative environment with excellent benefits.

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Senior/Staff Data Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as a Senior/Staff Data Engineer to design scalable data pipelines, implement ML algorithms, and contribute to microservice architectures for thousands of models. Enjoy competitive benefits and a supportive team environment.

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Data Platform Engineer

Kontakt.io

Location
Georgia
Posted

Data Platform Engineer at Kontakt.io: Design & build scalable data infrastructure for real-time analytics & automation

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Data Integrations Engineer

Anaplan

Location
United States of America
Posted

Data Integrations Engineer at Anaplan: Design scalable data integration solutions for business teams

Anaplan logo

Data Integrations Engineer

Anaplan

Location
United States of America
Posted

Data Integrations Engineer at Anaplan: Design scalable data integration solutions for business teams

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Infrastructure Security Engineer (DevSecOps)

Binance

Location
Brunei Darussalam
Posted

Infrastructure Security Engineer (DevSecOps) at Binance: Implement new security measures, generate primitives for secure infrastructure, and utilize log ingestion platforms for security analytics.

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Team Lead, Global Service Center

Deel

Location
Brazil
Posted

Lead the Onboarding/Backoffice team at Deel, managing specialists who help customers with onboarding and payroll services. Drive operational efficiency and customer satisfaction while collaborating with internal teams to enhance processes.

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Data Operations Engineer

Welocalize

Location
Mexico
Posted

Data Operations Engineer at Welocalize: Develop and maintain robust ETL processes, scalable data pipelines, and reliable data transformations for BI and analytics purposes.

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Data Operations Engineer

Podium

Location
United States of America
Posted

As a Data Ops Engineer at Podium, you'll ensure data systems are fast, reliable, and scalable while supporting cutting-edge AI projects. You'll work with Elasticsearch, Kafka, RabbitMQ, Redis, and PostgreSQL to optimize performance and automate infrastructure using Terraform and Ansible.

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Infrastructure Engineer (Scrum Master)

Nava

Location
United States of America
Posted
Salary Range
121k - 136k USD

Join Nava as an Infrastructure Engineer to build and maintain scalable systems for government services, collaborating with cross-functional teams and leveraging modern tools like Terraform and Jenkins.

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Data Governance Engineer

Canonical

Location
Cameroon
Posted

Data Governance Engineer at Canonical: Develop data governance policies and processes for compliance with internal policies and regulatory frameworks.

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Senior Software Engineer - Data Platform

Lime

Location
Canada
Posted

Data Platform Engineer at Lime: build scalable platforms, lead new product initiatives, and mentor other engineers in a fast-growing company with competitive salaries and benefits.

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Data Engineer (AI/NLP)

Awin Global

Location
Romania
Posted

Data Engineer (AI/NLP) at Awin: Build data pipelines, collaborate with teams, and drive business decisions with AI-powered insights.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
United Kingdom
Posted

Data Engineer (AI/NLP) at Awin: Build and maintain data ingestion pipelines, collaborate with data scientists, and ensure data quality for analysis and reporting.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
Germany
Posted

Data Engineer (AI/NLP) at Awin: Build data pipelines, ensure data quality, and collaborate with data scientists.

Awin Global logo

Data Engineer (AI/NLP)

Awin Global

Location
Spain
Posted

Data Engineer (AI/NLP) at Awin: Build and maintain data pipelines, collaborate with data scientists, and contribute to project planning.

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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