Distributed Cloud Solutions Engineer
1 dia atrás
At Canonical, we're leading the global shift to open source software and operating systems. As a pioneering tech firm, we're changing the world of software with our platform, Ubuntu, which powers breakthrough initiatives in public cloud, data science, AI, engineering innovation, and IoT.
We're hiring Distributed Cloud Solutions Engineers focused on Data, AI/ML, and Analytics Solutions to join our teams building open-source solutions for public cloud and private infrastructure.
What You'll Do
- You'll collaborate on end-to-end data analytics and MLOps solutions using popular open-source tools like Kubeflow, MLFlow, DVC, and Feast.
- You may work on workflow, ETL, data governance, and visualization tools such as Apache Superset, dbt, Temporal, or data warehouse solutions like Apache Trino or ClickHouse.
- Your team will own a solution from the analytics and machine learning space and integrate with other teams to build the world's best end-to-end data platform.
- These solutions may run on servers, the cloud, machines, or Kubernetes, developer desktops, or web services.
What We're Looking For
- Professional software delivery experience using Python or Golang.
- An exceptional academic track record from high school and university.
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path.
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
- A track record of going above-and-beyond expectations to achieve outstanding results.
- Possession of passion for technology evident through personal projects and initiatives.
- The work ethic and confidence to shine alongside motivated colleagues.
- Excellent interpersonal skills, curiosity, flexibility, and accountability.
- Apreciation of diversity, politeness, and effectiveness in a multi-cultural, multi-national organization.
- Thoughtfulness and self-motivation.
- Result-oriented with a personal drive to meet commitments.
Bonus Skills
- Hands-on experience with machine learning libraries or tools.
- A proven track record of building highly automated machine learning solutions for the cloud.
- Experience with container technologies (Docker, LXD, Kubernetes, etc.).
- Experience with public clouds (AWS, Azure, Google Cloud).
- A working knowledge of cloud computing.
- Passionate about software quality and testing.
- Experience working on an open-source project.
About Us
Canonical is an equal opportunity employer. We're 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.
Compensation
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 recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission.
Benefits
- 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.
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