QA Engineer
Company: Nextdata Technologies Inc
Location: San Francisco
Posted on: November 13, 2024
Job Description:
Join Nextdata and Shape the Future of Data!Nextdata is on a
mission to make data mesh principles a reality at enterprise scale.
Founded by Zhamak Dehghani, the creator of the Data Mesh, we're
pioneering a data-mesh-native platform-Nextdata OS-that empowers
developers to share data responsibly through data product
containers. We're transforming how data is created, shared,
discovered, and used, making it more connected, faster, and fairer
than ever before.Are you passionate about ensuring the highest
quality in complex systems? Do you thrive on breaking things to
make them better? We're seeking a dedicated Quality Assurance
Engineer to ensure the excellence of Nextdata OS across various
deployments. If you have a knack for enhancing CI/CD pipelines and
a love for data and analytics tools, this is the role for you!Your
Impact
- Ensure Product Quality: Oversee the quality of Nextdata OS in
Kubernetes-based stateful systems with multiple components.
- Enhance Testing Infrastructure: Develop and maintain our CI and
testing infrastructure, including large-scale performance and
upgrade tests.
- Collaborate Closely: Work hand-in-hand with the engineering
team and customer-facing field team to deliver the best user
experience.
- Break and Improve: Challenge and misuse our latest features to
identify weaknesses and ensure robustness.
- Interact with Data Tools: Engage with various data and
analytics tools like Snowflake, Spark, and S3.
- Support Compliance Efforts: Assist in meeting compliance
requirements such as SOC 2 by ensuring our testing practices adhere
to industry standards.
- Prototype Quickly: Utilize Python and other programming
languages for rapid prototyping and testing.
- Leverage Cloud Infrastructure: Work with cloud platforms
including Kubernetes (especially managed Kubernetes), Google Cloud,
AWS, and Azure.
- Drive Continuous Improvement: Optimize build and release
processes to reduce software lead time.
- Embrace Data Applications: Apply your curiosity and passion for
data in ML and analytics applications.What We're Looking For
- Extensive QA Experience: 7+ years in Quality Assurance
Engineering, including implementing large-scale testing
infrastructure for system engineering.
- Data and Analytics Tools: Experience with tools like Snowflake,
Spark, S3, etc.
- CI/CD Expertise: Proficient in continuous integration and
deployment, with a track record of optimizing build and release
processes.
- Programming Skills: Proficient in Python and/or other
programming languages; comfortable with quick prototyping.
- Cloud Infrastructure Knowledge: Experience with Kubernetes
(especially managed Kubernetes), Google Cloud, AWS, and Azure.
- Data Application Passion: Curiosity and experience in data,
machine learning, and analytics applications.
- Compliance Awareness: Understanding of compliance standards
like SOC 2 and their impact on QA processes.Nice to Haves
- Data Mesh Understanding: Familiarity with data mesh concepts
and implementations.
- Open Source Contributions: Experience contributing to big
data/analytics open-source projects or internal data infrastructure
products.
- Analytical Communication: Ability to quantify the value of
analyses and present findings compellingly.
- Test-First Development: Demonstrated commitment to test-first
data pipeline development.About UsAt Nextdata, we believe that
decentralization is the key to unlocking the true potential of
data. Our flagship product, Nextdata OS, is a data-mesh-native
platform designed to tackle the challenges of decentralizing data
at enterprise scale. We're pioneering a new way for developers to
work with data, enabling them to share it responsibly through data
product containers and empowering AI, machine learning, and
analytics with decentralized, responsible, and equitable data
ownership that transcends organizational, technological, and trust
boundaries.Our vision is to transform the experience of creating,
sharing, discovering, and using data by adhering to data mesh
principles, making this process more connected, faster, and fairer
than ever before. We recognize that the world of data is complex
and ever-changing: data models become outdated rapidly; data is
owned across different trust boundaries; it's stored on various
platforms; used in multiple modes; and data can't protect itself.
Previous centralized approaches to data collection, modeling, and
governance are not only ineffective but can also be unfair. That's
why our technology empowers data developers, users, and owners with
a delightful experience, treating data products as first-class
primitives with built-in trust-we're reimagining the world of
data.
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Keywords: Nextdata Technologies Inc, Tracy , QA Engineer, Engineering , San Francisco, California
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