PayPal | Jobs | Staff Software Engineer Analytics Infra | BigDataKB.com | 09-02-22

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Job Location: Chennai

As a Staff Software Engineer on the Enterprise Data Platform team, you will be responsible for the evolution of our current to the next generation platform for our analytics needs in the cloud. You will be making key technology decisions, building maintaining large production grade distributed systems that handle petabyte scale, working with our customers to resolve their day-to-day problems, and helping mentor engineers.

What Youll Do

  • Anchor major team workstreams to build and improve large-scale distributed systems, grow the scale of our platform, reduce complexity, increase automation and burn down technical debt
  • Develop solutions for analytics users needs with an eye towards self-service products backed by efficient operations
  • Mentor other software engineers
  • Build key components of our platform via pair programming with other engineers
  • Setup practices to ensure the highest levels of operational resiliency
  • Collaborate with leadership, peers and customers to effectively deliver solutions and projects
  • Support production systems 24/7 (One week in 2 months – Team rotation based)

What Were Looking For

  • 6 years of experience in software engineering
  • Design and Operational Experience with large scale production grade distributed systems
  • Experience in one or more of the following: Python, Java, Ruby, Golang, or shell scripting
  • Good Linux skills and understanding of operating systems
  • Experience building and maintaining large distributed systems on one of the major cloud providers (AWS, Azure, GCP)
  • Experience with infrastructure as code tooling such as Terraform CloudFormation

Good To Have

(Don t worry if you don t have these skills. You can always learn these skills after joining us)

  • Server-side software development experience
  • Experience in managing big-data infrastructure at petabyte scale
  • Analytics background
  • Understanding of AWS and GCP technologies
  • Experience with Docker and Kubernetes
  • Experience in workflow engines / schedulers like Airflow, Argo
  • Experience with monitoring/logging tools and best practices
  • Test-driven development (TDD)

Apply Here

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