Software Development Engineer in Cloud Computing

Há 7 dias

Curitiba, Paraná, Brasil beBeeCloud Tempo inteiro US$100.000 - US$150.000
Software Development Engineer in Cloud Computing

You will collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source machine learning tools. This may include 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.

  • Develop a comprehensive understanding of the 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, 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 in public with upstream communities
Requirements:
  • Professional experience in software delivery using Python
  • Exceptional academic track record from high school and university
  • Undergraduate degree in a technical subject or alternative chosen path
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside 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
  • Appreciative of diversity, polite and effective in a multi-cultural organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to meet commitments
Nice-to-have skills:
  • Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud
  • Hands-on experience with machine learning libraries or tools
  • Experience with container technologies (Docker, LXD, Kubernetes, etc.)
  • Experience with public clouds (AWS, Azure, Google Cloud)
  • Working knowledge of cloud computing
  • Passionate about software quality and testing
  • Experience working on an open source project
Benefits:
  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2000 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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