Engineering

Vancouver, British Columbia

Join us as we pursue our disruptive new vision to make machine 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, customers, having fun, and most meaningfully to each other’s success.

Role

Are you passionate about learning new technologies and understanding how they work? Are you interested in an opportunity to work with an upbeat team to help drive its products to a new level? As a Principal Software Engineer in Test, the responsibilities include designing, documenting, executing, and automating tests to effectively and efficiently test features in development. You will be expected to architect and drive automated, reliable, resilient, and extensible solutions to enhance and evolve our testing strategies and capabilities, and continually improve our testing infrastructure for cloud offerings.

Responsibilities

Drives native Cloud testing strategy to deliver in a continuous delivery model.
Drives technology direction and continuously raises the bar on technical excellence and delivery.
Works intimately with the Engineering and Product Management teams to develop, automate, and execute sophisticated tests against required specifications.
Collaborates with external and internal teams and it’s the heart of what makes Splunk a phenomenal place to work at.
Communicates effectively with senior leadership and architects on testing and quality strategic plans.
Participates in high profile and critical customer engagements and escalations as needed.
Incorporates customer use cases, issues, telemetry data back into testing to enhance the overall product quality.
Proactively identifies testing and process gaps and implements solutions to achieve efficiencies across the organizational boundaries.
Coaches and mentors SDET engineers on best practices and technology direction.
Helps build the talent pool in the organization with hiring.
Promotes Splunk innovations at meetups, recruiting events, and conferences.

Requirements:

Passionate at quality engineering and Splunk
Solid experience in setting up and working on distributed systems and solutions like AWS Cloud, Google Cloud Platform, or Azure.
Strong SAAS background with understanding of API & micro-services testing.
Solid experience with Kubernetes, Docker, and any container orchestration system/solution.
Solid experience in at least one programming language, such as Python (most preferred), Go, Java, Ruby, Perl, or C++. With SCM experience using Git, GitHub, or GitLab.
Solid experience in test automation framework using Pytest, Selenium WebDriver, or any Go testing framework (e.g. Ginkgo).
Solid experience in DevOps and CI/CD related technologies.
Excellent on critical thinking and problem-solving.
Expert in exploratory testing by fully understanding your designated features or areas.
In-depth system administration skills in Linux and Windows.
Effective communicator who can be the technical spokesperson for his Team/Area in broader architecture and technology discussion.
Experience building up test framework or infrastructure.
Experience dealing with cross-functional teams, including Support, Sustaining, and Customer Escalations.
Experience in engineering management and leadership.

Education:

BS EE or CS degree; 12 + years related experience (or Masters and 8 + years related experience or Ph.D. and 5+ years' experience).

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.

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Splunk's Hiring Practices

^{Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

Individuals seeking employment at Splunk are considered without regards to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.

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

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