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Static Code Analysis Expert

Note: This position is located in Seattle, WA and would require relocation (company will provide relocation assistance)

About us:

Gable.ai is a Seattle-based startup revolutionizing the data industry. Through our data communication, change management, and collaboration platform, we empower developers to build and manage data assets, bridging the gap between data producers and consumers to upscale data quality. Fresh out of stealth mode and backed by prominent venture partners, our mission is to reshape data management by fostering collaboration and innovation. Join us in transforming the landscape of the data industry!

As a Static Code Analysis Expert at Gable.ai, you will be at the forefront of developing and integrating static code analysis tools that are core to our product offerings. Your role will involve designing, implementing, and maintaining static analysis tools and features that help improve the quality, security, and maintainability of our clients' codebases. You will work closely with our engineering team to integrate these tools seamlessly into our platform.

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.

  • 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

  • Be part of a pioneering team that is redefining the data industry.
  • Work on cutting-edge technology with the opportunity to make a significant impact.
  • Collaborate with a talented and passionate team of engineers and industry experts.
  • Enjoy a dynamic, fast-paced, and supportive work environment.
  • Competitive compensation package and benefits.

If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you.

Gable.ai is an equal-opportunity employer and encourages applications from candidates of all backgrounds and experiences.

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Static Code Analysis Expert, Gable

At Gable.ai, a Seattle-based startup that's changing the data industry, we're looking for a Static Code Analysis Expert to join our innovative team. Imagine being at the forefront of developing and integrating static code analysis tools that form the backbone of our unique offerings. Your primary focus will be on designing, implementing, and maintaining these tools to enhance the quality, security, and maintainability of our clients' codebases. You will collaborate closely with our engineering team, ensuring seamless integration of these tools into our platform. This position is perfect for someone who thrives in a startup environment and has a passion for improving software through effective coding practices. You'll develop algorithms to detect bugs and performance issues, automate processes for CI/CD pipelines, and continuously refine our tools based on industry trends and stakeholder feedback. Additionally, you’ll maintain detailed documentation and provide training to internal teams and clients. With strong proficiency in languages like Javascript, Typescript, and Python, as well as experience with static analysis tools such as SonarQube and ESLint, you'll play a key role in redefining data management and collaboration. Join us if you're eager to make a real impact and work with cutting-edge technology alongside a talented team of engineers and industry experts!

Frequently Asked Questions (FAQs) for Static Code Analysis Expert Role at Gable
What are the key responsibilities of a Static Code Analysis Expert at Gable.ai?

As a Static Code Analysis Expert at Gable.ai, you will be responsible for designing, developing, and integrating static code analysis tools that enhance code quality and security. This includes creating algorithms for bug detection, automating CI/CD processes, collaborating with product managers to understand requirements, and maintaining comprehensive documentation for the tools you develop.

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What qualifications are required for the Static Code Analysis Expert position at Gable.ai?

To qualify as a Static Code Analysis Expert at Gable.ai, candidates should have proven experience in developing static analysis tools, strong technical skills in programming languages such as Javascript, Typescript, and Python, and familiarity with CI/CD tools like Jenkins or GitHub Actions. A bachelor's degree in Computer Science or a related field is required, or equivalent practical experience.

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What tools and technologies will a Static Code Analysis Expert work with at Gable.ai?

At Gable.ai, a Static Code Analysis Expert will work with a variety of tools and technologies, including static analysis tools like SonarQube, ESLint, and PyLint, as well as programming languages such as Python, Javascript, and Typescript. Familiarity with frameworks and tools associated with data quality and observability, as well as a modern data stack, will also be beneficial.

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What skills are essential for success as a Static Code Analysis Expert at Gable.ai?

Essential skills for success as a Static Code Analysis Expert at Gable.ai include strong problem-solving capabilities, excellent communication skills for bridging technical concepts to various stakeholders, and the ability to collaborate effectively in a cross-functional team environment. Proficiency in programming languages and experience with static analysis tools are also critical.

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How does Gable.ai support the professional growth of its Static Code Analysis Expert?

Gable.ai is committed to supporting the professional growth of its employees, including the Static Code Analysis Expert. You'll have opportunities for continuous learning through hands-on experience with cutting-edge technology, participation in training programs, and collaboration with experienced industry experts, allowing you to consistently improve your skill set.

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Common Interview Questions for Static Code Analysis Expert
Can you describe your experience with static code analysis tools?

When answering this question, highlight specific static code analysis tools you've worked with, like SonarQube or ESLint. Discuss the projects you’ve applied these tools to, the issues you discovered, and how you integrated them into the CI/CD pipeline, showcasing your ability to improve code quality.

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What algorithms have you developed for code analysis?

In answering this question, share examples of algorithms you've designed to identify bugs, detect performance issues, or mitigate code smells. Discuss the challenges you faced during development and how your algorithms improved code quality, thus demonstrating your technical expertise.

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How do you approach collaboration with engineering teams at Gable.ai?

Discuss your strategies for effective communication and collaboration with engineering teams. Mention how you gather requirements, share ideas, and get feedback on your static analysis tools. Emphasize your experience working in cross-functional teams and your ability to adapt to different working styles.

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What is your process for keeping up with industry trends in static analysis?

Answer by outlining the methods you use to stay informed about industry trends, such as attending conferences, subscribing to relevant journals and online communities, or participating in webinars. Emphasize your commitment to continuous learning and how you apply these insights to improve your work.

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Can you give an example of a technical challenge you faced and how you overcame it?

Provide a concise example of a technical challenge you encountered, detailing the context, your approach to resolving it, and the outcome. Use the STAR (Situation, Task, Action, Result) method to clearly structure your answer and illustrate your problem-solving skills.

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Describe how you would train a team on using static code analysis tools.

Discuss your training plan, focusing on how you would outline the importance of static analysis, the features of the tools, and best practices for using them. Highlight your ability to tailor the training to different audiences and your experience in facilitating workshops or training sessions.

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Which programming languages do you prefer for developing static analysis tools and why?

When addressing this question, discuss your preference for specific programming languages based on your experience. Explain how the strengths of those languages align with the requirements of static analysis tool development, illustrating your grasp of their applicability.

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What metrics do you use to measure the effectiveness of static code analysis?

Explain the key metrics you look at, such as the number of bugs detected, code coverage, or reduction in technical debt. Discuss how these metrics impact software development cycles and inform improvements to static analysis processes.

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How do you handle disagreements with team members regarding technical implementations?

Describe a collaborative approach to conflict resolution, focusing on open communication, seeking to understand diverse perspectives, and working toward a consensus. Share a real example if applicable, illustrating your ability to navigate disagreements professionally.

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What do you believe is the most crucial aspect of static code analysis?

Convey your thoughts on the most critical elements of static code analysis, such as early bug detection, maintaining code quality, or enhancing overall software security. Discuss how you believe these aspects contribute to successful software development and the importance of promoting best practices.

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Full-time, on-site
DATE POSTED
December 5, 2024

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