Python And Kubernetes Software Engineer - Data, Workflows, Ai/Ml & Analytics

buscojobs Argentina; Guaraciaba; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A pioneering tech firm is seeking a Python and Kubernetes Software Engineer to work on data analytics and MLOps solutions. The ideal candidate should have a strong background in Python, Linux, and Kubernetes, excellent interpersonal skills, and the ability to collaborate effectively with a distributed team. This position offers a distributed work environment and a personal development budget of $2,000 per year.

Serviços

Personal learning and development budget

Annual compensation review

Maternity and paternity leave

Employee Assistance Programme

Qualificações

• Professional or academic software delivery using Python.
• Strong academic track record from high school and university.
• Confidence to speak up, exchange feedback, and share ideas respectfully.
• Experience with Linux (Debian or Ubuntu preferred).
• Ability to travel for company events up to two weeks twice a year.

Responsabilidades

• Design, build and maintain solutions deployed on public and private clouds.
• Collaborate with a distributed team of engineers, designers, and product managers.
• Debug issues and engage with upstream and Ubuntu communities.

Conhecimentos

Python

Kubernetes

Linux

Interpersonal skills

English fluency

Formação académica

Undergraduate degree in a technical subject

Ferramentas

Docker

ML libraries

Cloud computing platforms (AWS, Azure, Google Cloud)

Descrição da oferta de emprego

Overview

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Salary: ARS 79.079.000 - 105.440.000

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in public cloud, data science, AI, engineering innovation and IoT. Our customers include leading public cloud and silicon providers, and industry leaders in many sectors. We are a founder-led, profitable and growing company with global distributed collaboration. Most roles are remote with occasional in-person meetings in various locations. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure.

As a software engineer on the team, you’ll collaborate on end-to-end data analytics and MLOps solutions using open-source tools such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache Superset, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino or ClickHouse. Solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops, or as web services.

We serve individuals and community members as well as Global 2000 and Fortune 500 customers. Our primary work is provided free of charge, with Pro subscriptions available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source.

Location: This initiative spans many teams that are home-based and in multiple time zones. We value distributed collaboration but strive for colleagues to have company in their work hours. Successful candidates will join a team where most members and their manager are in the same time zone to facilitate collaboration and discussion.

What your day will look like

• Develop understanding of the entire Linux stack, from kernel, networking and storage to the application layer
• Design, build and maintain solutions deployed on public and private clouds and local workstations
• Master distributed systems concepts such as observability, identity, and tracing
• Work with Kubernetes and machine-oriented open source applications
• Collaborate with a distributed team of engineers, designers and product managers
• Debug issues and engage with upstream and Ubuntu communities
• Generate ideas and collaborate on finding effective solutions

What we are looking for in you

• Professional or academic software delivery using Python
• Strong academic track record from high school and university
• Undergraduate degree in a technical subject or a compelling alternative narrative
• Confidence to speak up, exchange feedback, and share ideas respectfully
• Track record of going above and beyond to achieve outstanding results
• Passion for technology evidenced by personal projects
• Work ethic and confidence to collaborate with motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciation of diversity; effective in a multi-cultural, multinational organisation
• Thoughtfulness and self-motivation; results-oriented with commitment
• Ability to travel for company events up to two weeks twice a year

Additional skills that would be nice to have

• Proven track record building automated ML solutions, data pipelines, or workflow orchestration for the cloud
• Hands-on experience with ML libraries or tools
• Experience with container technologies (Docker, Kubernetes, etc.)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Working knowledge of cloud computing
• Passion for software quality and testing
• Experience working on an open source project

What we offer colleagues

• Distributed work environment with twice-yearly in-person team sprints
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review and performance-based incentives
• Recognition rewards and annual holiday leave
• Maternity and paternity leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues
• 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. We publish Ubuntu, a major open source project and platform for AI, IoT and the cloud. We recruit globally and set a high standard for our people. Most colleagues have worked from home since 2004. Working here challenges you to think differently, work smarter, and learn new skills.

Canonical is an equal opportunity employer

We are committed to a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. We will give every applicant fair consideration regardless of identity.