Senior Test Engineer, Snowflake
Backend Testing
3-5 days a week in office
AI Data Cloud for data sharing and app building
Job no longer available
AI Data Cloud for data sharing and app building
1001+ employees
Job no longer available
3-5 days a week in office
1001+ employees
Company mission
On a mission to mobilize the world's data.
Role
Who you are
- 8+ years of relevant experience in Quality Engineering, specifically testing, frameworks and automation as a Technical Lead
- BS in Computer Science or equivalent experience
- High proficiency coding in Python, Java and/or C++ preferred
- Strong CS fundamentals including OO concepts, data structures, algorithms, and distributed systems
- Strong database understanding including SQL, query optimizers, performance, multi-threading, and schema design
- Experience with cloud technology including GCP, AWS and/or Azure
- Proven experience developing comprehensive and effective Test and Performance tools, as well as frameworks
- In-depth knowledge and understanding of standard quality best practices, techniques and methodologies to drive continuous quality improvements
- Experience delivering quality software in a large distributed system with emphasis on functional and performance automation, workloads and testing
- Experience with continuous integration / continuous deployment systems like Jenkins
- Previous experience with distributed storage systems, data/metadata file formats (Parquet, Orc, Avro, Iceberg), and cloud storage platforms (Azure, AWS, GCP) is a plus
What the job involves
- Our Quality Engineering team is actively seeking a Senior Test Engineer (Backend Testing) to join our fast growing organization. In this role you will provide technical leadership and strategic direction for the testing organization
- You will be driving the development of end-to-end integration tests, automation frameworks, and tools to have robust automated testing pipelines for the Snowflake Data Cloud
- This is a hands-on role in which you will design and code comprehensive testing frameworks while taking on a technical leadership role, improving productivity of our development/QE teams and bringing standardization to our processes and practices
- You will be able to closely work with the Native Applications Engineering Team located in Toronto
- You will collaborate with a world-class team of both industry veterans and rising stars to ensure that we are shipping the highest quality service possible at each weekly release. This is an awesome opportunity to work with cutting edge cloud technology in a highly visible role
- Drive quality across all disciplines, providing guidance, feedback, and suggestions to improve quality practices across engineering organization
- Contribute to technical leadership and strategic direction to continuously improve the Quality Engineering Organization
- Partner with customer facing groups such as PMs, UX, SEs to better understand how customers interface and use our product to drive quality early and often in SDLC
- Author and enhance Test plans based on feature requirements and specifications, as well as technical discussions and deep dives with engineers
- Build, enhance and maintain automation frameworks utilized by team to automate critical user scenarios for regression testing
- Prioritize and execute test cases in a snowflake environment that’s representative of customers’ schema and workloads
- Partner with Support and Engineering to investigate, troubleshoot and identify/implement fixes for customer facing issues
Our take
Developed as a fresh alternative to the archaic systems of data governance and information silos, Snowflake is a frictionless cloud data platform that removes the barriers preventing organisations of all sizes from unleashing the true value of their data.
The company equips organizations with a single, integrated platform that offers the only data warehouse built for the cloud; instant, secure and governed access to their entire network of data; and a core architecture to enable many types of data workloads, including a single platform for developing modern data applications.
Major competitors include Azure, SQL and AWS, and Snowflake has managed to keep ahead of the competition, cementing itself as a global force. Across its 1300+ partners, the company's cloud manages over 250PB of data (with more than 515 million data workloads running every day). Its continued focus on product R&D and partnership expansion have Snowflake well-positioned to manage itself amidst the competition.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Feb 2020
$479m
SERIES G
Oct 2018
$450m
LATE VC
Total funding: $1.4bn
Company benefits
- Comprehensive health insurance plans
- Health savings accounts
- Robust retirement plans
- Life and disability insurance
- Weekly online lunch and learns
- Virtual workout classes
- Ergonomic work-from-home equipment
- On-demand mental health and wellness programs
- Fertility benefits and family planning resources
- Generous time-off and various leave plans
- Onsite and Remote Work
- Employee discounts and pre-tax selections
- New hire equity + Employee Stock Purchase Plan (ESPP)
- Quarterly bonus or commission program
Company HQ
Menlo Park, CA
Leadership
Benoit Dageville
(Co-Founder & President of Product)Benoit, a leading expert in parallel execution and self-tuning databases, founded Snowflake after 10+ years at Oracle as a lead architect. He holds a PhD in Computer Science and has 270+ patents.
Thierry Cruanes
(Co-Founder)Thierry is a leading expert in query optimization and parallel execution. He has a PhD in Computer Science with a focus in Database Systems and is a named inventor on 200+ patents.
Sridhar Ramaswamy
(Chief Executive Officer)Sridhar joined Snowflake in 2023 via the Neeva acquisition as SVP of AI and later became CEO. He co-founded Neeva and previously led Google’s Ads business, growing it from $1.5B to $100B.
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