QA Engineer, Nextdata
Operating system for decentralised data
Open for applications
Operating system for decentralised data
1-20 employees
Open for applications
1-20 employees
Company mission
To make the experience of creating, sharing, discovering, and using data connected, fast and fair.
Role
Who you are
- If you have a knack for enhancing CI/CD pipelines and a love for data and analytics tools, this is the role for you!
- 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
Desirable
- 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
What the job involves
- 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
Our take
An increasingly popular software architecture is data mesh, a type of data platform that implements domain-oriented and self-serve designs. These types of platforms make it easier for companies to create, share, and connect their data to decentralize the information they use, all without having to transfer data to centralized repositories or lakes.
That said, many companies that wish to implement data mesh trip up from the get-go, often being too dependent on centralized data governance and lacking the specialists to fully benefit from it. Nextdata is a data-mesh-native platform that customers can use to build and share data products, making it easier for more businesses to benefit from the architecture.
The company is up against large and mature competitors, such as Databricks and Snowflake, but claims to stand out thanks to its product-first ethos. The platform was also built specifically for data sharing concerning AI and machine learning, which makes it scaleable and future-proof in a crowded market, and Nextdata has secured strong seed funding to help grow its team and operations.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Sep 2023
$12m
SEED
Total funding: $12m
Company benefits
- Home office stipend ($2,000 for your home workspace setup)
- Company laptop
- Premium health, vision, and dental insurance coverage
- Regular in-person meetings in California
- Plus or minus 3 hours from Pacific time is welcome
- Craft, teamwork, flexibility, and accountability
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Zhamak Dehgani
(CEO)Previously Director of Next Tech Incubation at Thoughtworks, and Principal Software Engineer at Silverbrook Reseach and Fox Technology.
Sina Jahan
(Head of Product)Previously Head of Data Practice at Thoughtworks, Team Lead at ClearFit, and Software Engineer at Research Now.
Dan Siweic
(Founding Principal Engineer)Previously Principal Architect at Kambr, Lead Consultant at Thoughtworks, and Senior Solutions Developer at Acxiom.
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