Code Quality Engineer
2 days ago
About Us
Gable.ai is a pioneering Seattle-based startup that revolutionizes the data industry by empowering developers to build and manage data assets. Our cutting-edge platform facilitates collaboration and innovation, bridging the gap between data producers and consumers to upscale data quality.
As a Code Quality Engineer at Gable.ai, you will be part of a talented team that develops and integrates static code analysis tools, which are core to our product offerings. Your role involves designing, implementing, and maintaining static analysis tools and features that enhance the quality, security, and maintainability of clients' codebases. You will collaborate closely with our engineering team to ensure seamless integration into our platform.
Your Responsibilities
- Tool Development: Design, develop, and implement static code analysis tools and features as part of the Gable.ai product.
- Integration: Collaborate with the engineering team to integrate static analysis tools into the Gable.ai platform, ensuring they work efficiently with existing systems.
- Code Analysis: Create algorithms and techniques to analyze code for potential issues such as bugs, performance issues, and code smells.
- Automation: Develop automated processes to run static code analysis as part of the CI/CD pipelines.
- Collaboration: Work closely with product managers, software engineers, and other stakeholders to understand requirements and deliver effective static analysis solutions.
- Continuous Improvement: Continuously improve the static code analysis tools based on feedback, industry trends, and advancements in the field.
- Documentation: Maintain comprehensive documentation of the static analysis tools, processes, and best practices.
- Training: Provide training and support to internal teams and clients on how to effectively use the static code analysis tools.
Requirements
- Experience: Proven experience in developing and integrating static code analysis tools, preferably in a startup or high-growth environment.
- Technical Skills:
- Programming Languages: Strong proficiency in Javascript, Typescript, and Python.
- Static Analysis Tools: Experience with tools such as SonarQube, ESLint, PyLint, and similar.
- CI/CD: Familiarity with CI/CD tools and pipelines, such as Jenkins, GitLab CI, or GitHub Actions.
- Problem-Solving: Excellent problem-solving skills and the ability to develop innovative solutions to complex technical challenges.
- Communication: Strong communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
- Collaboration: Demonstrated ability to work collaboratively in a cross-functional team environment.
- Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Tech Stack:
- Python
- Spark
- Kafka
- Snowflake
- PostgreSQL
- MySQL
- MongoDB
- dbt
- Modern Data Stack
- Data Quality
- Data Observability
Salary:$120,000 - $180,000 per year, depending on experience.
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