A company in Open Source Software and Operating Systems
Python and Kubernetes Software Engineer
Job Details
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 composed of popular, open-source, machine learning 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. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
Responsibilities
Develop your understanding of the entire Linux stack, from kernel, networking, and storage to the application layer
Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations
Master distributed systems concepts such as observability, identity, and tracing
Work with both Kubernetes and machine-oriented open source applications
Collaborate proactively with a distributed team of engineers, designers, and product managers
Debug issues and interact publicly with upstream and open source communities
Generate and discuss ideas, and collaborate on finding good solutions
Perks
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 team events
