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Python And Kubernetes Software Engineer - Data, Ai/Ml & Analytics
Python and Kubernetes Software Engineer – Data, AI/ML & Analytics
Location: Zaragoza, Kingdom Of Spain, ES
Responsibilities
Collaborate on end-to-end data analytics and MLops solutions using open‑source tools such as Kubeflow, MLFlow, DVC, Feast, Apache Superset, dbt, Temporal, Apache Trino, and ClickHouse.
Design, build, and maintain solutions that are deployed on public and private clouds, local workstations, and Kubernetes clusters.
Develop a deep understanding of the Linux stack, from kernel and networking to storage and the application layer.
Master distributed systems concepts such as observability, identity, and tracing.
Work with Kubernetes and machine‑oriented open‑source applications.
Collaborate proactively with a distributed team of engineers, designers, and product managers.
Debug issues and interact with upstream and Ubuntu communities.
Generate and discuss ideas, collaborating on finding practical solutions.
Qualifications
Professional or academic experience delivering software using Python.
Undergraduate degree in a technical subject or a compelling narrative demonstrating an alternative path.
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
Track record of exceeding expectations to achieve outstanding results.
Passion for technology evidenced by personal projects and initiatives.
Professional written and spoken English with excellent presentation skills.
Experience with Linux (Debian or Ubuntu preferred).
Excellent interpersonal skills, curiosity, flexibility, and accountability.
Ability to travel twice a year for company events up to two weeks.
Thoughtfulness and self‑motivation with a result‑oriented, personal drive to meet commitments.
Nice to Have Skills
Hands‑on experience with machine‑learning libraries or tools.
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).
Working knowledge of cloud computing.
Passion about software quality and testing.
Experience working on an open‑source project.
Benefits
Base pay with performance‑driven annual bonus or commission.
Annual learning and development budget of USD 2,000.
Annual compensation review and 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.
Equal Opportunity Employer
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.
Additional Information
Seniority level: Entry level. Employment type: Full‑time. Job function: Engineering and Information Technology. Industries: Software Development.
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Location: Zaragoza, Kingdom Of Spain, ES
Responsibilities
Collaborate on end-to-end data analytics and MLops solutions using open‑source tools such as Kubeflow, MLFlow, DVC, Feast, Apache Superset, dbt, Temporal, Apache Trino, and ClickHouse.
Design, build, and maintain solutions that are deployed on public and private clouds, local workstations, and Kubernetes clusters.
Develop a deep understanding of the Linux stack, from kernel and networking to storage and the application layer.
Master distributed systems concepts such as observability, identity, and tracing.
Work with Kubernetes and machine‑oriented open‑source applications.
Collaborate proactively with a distributed team of engineers, designers, and product managers.
Debug issues and interact with upstream and Ubuntu communities.
Generate and discuss ideas, collaborating on finding practical solutions.
Qualifications
Professional or academic experience delivering software using Python.
Undergraduate degree in a technical subject or a compelling narrative demonstrating an alternative path.
Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation.
Track record of exceeding expectations to achieve outstanding results.
Passion for technology evidenced by personal projects and initiatives.
Professional written and spoken English with excellent presentation skills.
Experience with Linux (Debian or Ubuntu preferred).
Excellent interpersonal skills, curiosity, flexibility, and accountability.
Ability to travel twice a year for company events up to two weeks.
Thoughtfulness and self‑motivation with a result‑oriented, personal drive to meet commitments.
Nice to Have Skills
Hands‑on experience with machine‑learning libraries or tools.
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).
Working knowledge of cloud computing.
Passion about software quality and testing.
Experience working on an open‑source project.
Benefits
Base pay with performance‑driven annual bonus or commission.
Annual learning and development budget of USD 2,000.
Annual compensation review and 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.
Equal Opportunity Employer
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.
Additional Information
Seniority level: Entry level. Employment type: Full‑time. Job function: Engineering and Information Technology. Industries: Software Development.
#J-18808-Ljbffr
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