DeepSource

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Scala analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Scala ecosystem.

• Identify bad code practices in Scala and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Scala and Java.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Scala best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, which not only improves developer productivity but also increases software’s robustness.

As a Quality Assurance Engineer, you will help ensure the experience of our users by ensuring our products meet the highest standards of security, reliability, performance, and user-friendliness. Your work will encompass building automation tooling, test automation frameworks, optimize test automation throughout the continuous integration pipeline, and helping with manual testing.

• Help design an end-to-end test strategy and automation framework and implement a comprehensive test suite.

• Collaborate with the engineering team to integrate the automation framework into our Continuous Integration workflows.

• Estimate, prioritize, plan and coordinate testing activities and track quality assurance metrics.

• Identify, record, document thoroughly, and track bugs and improvements.

• Perform thorough regression testing on every release and when bugs are resolved.

• Work with the engineering team during the development cycles to establish proper test coverage.

• Collaborate with engineering and design teams to assess risk and develop test strategies around new features.

• At least 2 years of professional experience in QA automation.

• Demonstrable ability in writing software in Python/JavaScript (or similar language).

• Experience using automated testing tools, like TestCafe, Selenium, JUnit, Cypress, Appium, XCTest.

• Ability to collaborate and work well with others in a fast-paced, complex environment with attention to detail.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Ruby analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Ruby ecosystem.

• Identify bad code practices in Ruby and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Ruby.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Ruby best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.

• Identify bad code practices in Python and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 2 years of professional software development experience in Python.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Python best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, PHP analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the PHP ecosystem.

• Identify bad code practices in PHP and write new rules to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in PHP.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with PHP best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.