Sr. Software Engineer - Backend

Engineering Vancouver, British Columbia


Join us as we pursue our disruptive new vision to make data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, our customers, having fun, and most meaningfully to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

What you bring  

For this role knowledge of data science or ML concepts is not vital, but you must have an understanding of the data science workflow and be passionate about enabling data scientists and ML engineers with better tooling and platforms. In particular, you must be a backend software generalist with prior experience building integrations and customizations around the Jupyter ecosystem, open source data science and machine learning tooling and platforms like Pandas, Dask, scikit-learn, Spark, and Kubeflow.

What we offer

An abundance of opportunities to have an impact, work with and learn about cutting edge tools and technologies in machine learning and data science, distributed systems, cloud technologies and data processing platforms. A team of hardworking engineers and scientists to collaborate with, learn from and provide mentorship to. Opportunities to grow your career and deliver unique features.

Key Responsibilities

  • Work with product management and partners to help shape the long and short term vision for the product
  • Own features and drive them from design, to coding, testing, and deployment
  • Produce and review technical documentation and provide feedback on system architecture
  • Perform code reviews and mentor other engineers
  • Help improve the overall development process and code quality, identify technical gaps and work with the engineering manager to address those.

Required Skills

  • At least 5 years of experience in a similar role
  • Hands on experience or interest in hacking on Jupyter ecosystem and in particular Jupyter Lab and Jupyter Hub
  • Hands on experience with data science and ML tooling like Pandas, scikit-learn, Dask, Ray, Spark, and Kubeflow
  • Solid experience developing and working with Restful APIs
  • Solid knowledge of Python and at least one of Go, Java, or Scala programming languages
  • Experience with software testing and prior exposure to different testing frameworks and methodologies
  • Expertise in developing software with containers and container orchestration technologies, such as Docker and Kubernetes.
  • Expertise in developing software on a public cloud platform (e.g. AWS, GCP, MS Azure etc.)

Nice to Have:

  • Experience with stream processing platforms like Kafka, Pulsar, or Flink
  • Knowledge of machine learning concepts

Education Requirements

  • Bachelor degree in computer science, electrical engineering or a related engineering discipline, or an equivalent number of years of work experience in a related field.

We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records

Thank you for your interest in Splunk!