
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.
As a member of the Language Engineering team, you will:
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Identify bad code practices in Ruby and write new analyzers to detect them.
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Improve the coverage of automatically fixable issues.
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Ensure fewer false-positives are reported by the analyzer.
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Work on the internal tools that support analysis runtimes.
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Contribute to open-source static analysis tools.
We’re looking for someone who has:
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Strong foundational knowledge in Computer Science.
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At least 3 years of professional software development experience in Ruby.
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Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
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Familiarity with Ruby best practices followed in the industry.
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Native experience with Linux/Unix environment.
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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.

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- Hand on experience in Golang/Python/Ruby on Rails /Node.Js
- Must have at least 1+ years of experience in Team Handling


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- Build scalable, service oriented web applications from scratch for technology products for European market.
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- Continuously identify opportunities to improve system designs, architecture and implementation standards
- Participate with founding, business and product teams in discussions on how to build and launch new modules.
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Strong background working with Linux/UNIX environments.
Strong Shell scripting experience.
Working knowledge with Oracle, DB2 or MongoDB databases.
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Strong collaboration and communication skills within distributed project teams
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