Senior Data Analytics Engineer

2 days ago

Cabuyao, Calabarzon, Philippines beBeeSoftware Full time $35,000 - $46,000
Job Description:

As a seasoned software engineer, you will collaborate on an end-to-end data analytics and MLOPS solution composed of popular, open-source machine learning tools.

This role offers a unique opportunity to work with distributed systems concepts, including observability, identity, and tracing. You will have the chance to master these complex concepts and apply them in real-world projects.

Key Responsibilities:
  • Develop your understanding of the entire Linux stack, from kernel to application layer
  • Design, build, and maintain solutions for 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 with upstream and Ubuntu communities
Requirements:
  • Professional or academic software delivery using Python
  • Exceptional academic track record from high school and university
  • Undergraduate degree in a technical subject or a compelling narrative about 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, multi-national organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to meet commitments
Preferred 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
  • Passionate about software quality and testing
  • Experience working on an open source project

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