
DeepSource
https://deepsource.io/About
Connect with the team
Jobs at DeepSource

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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.
As a member of the Language Engineering team, you will:
-
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.
We’re looking for someone who has:
-
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.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
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.
As a Quality Assurance Engineer, you will:
-
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.
We’re looking for someone who has:
-
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.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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:
-
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.
We’re looking for someone who has:
-
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.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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.
As a member of the Language Engineering team, you will:
-
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.
We’re looking for someone who has:
-
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.

The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

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.
As a member of the Language Engineering team, you will:
-
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.
We’re looking for someone who has:
-
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.

Similar companies
About the company
MyYogaTeacher is a well funded Silicon Valley startup with headquarters based in California, USA and Bangalore, India. At MyYogaTeacher we are building a marketplace for Yoga & Fitness coaching with a goal of making the world a healthier and happier place. Checkout myyogateacher.com/aboutus for more details.
We have a team of 60+ people across various functions – Marketing, Product, Engineering, SDET, Customer Support, Design, Operations, Data Science and Executive Leadership. We hire extremely skilled, smart, trustworthy, kind, supportive, and caring people. You will be working in a stimulating environment. We started in 2018 and have been showing tremendous traction with rave customer reviews.
- Over 200,000 happy customers
- Over 335,000 5 star reviews
- Over 150 Highly qualified coaches on the platform
- 95% of sessions are being completed with 5-star rating
Being a seed funded company, there is a tremendous scope for growth for people joining at this stage. You could potentially catapult 5-10 years of your career by working in a team like our’s! You will be working closely with the executive leadership.
The CEO is Jitendra Gupta, and this is his 3rd business. His previous venture (Punchh) was acquired for $500 Million in 2021. He has hand picked everyone on the team.
We are looking for passionate people like you to join us in this journey! We put our employees' well-being at the forefront by providing competitive industry salaries and robust benefits packages. We're proud to foster an inclusive workplace and make a positive impact on the community. Additionally, we actively promote internal mobility and professional development at every stage of your career.
Read more on our mission and culture at https://myyogateacher.com/articles/company-mission-culture
Jobs
7
About the company
Fynd, India’s largest omni channel platform and multi-platform tech company, pioneers retail tech and products in AI, ML, big data ops, gaming+crypto, image editing, and the learning space. Founded in 2012 by three IIT Bombay alumni: Farooq Adam, Harsh Shah, and Sreeraman MG, Fynd is headquartered in Mumbai. With over 1000 brands under management, more than 10k stores, and servicing 23k+ pin codes, Fynd collaborates with major retail giants like Reliance, working on projects for Jio, Reliance Retail, and Reliance Digital, among others
Jobs
15
About the company
Jobs
1
About the company
Deep Tech Startup Focusing on Autonomy and Intelligence for Unmanned Systems. Guidance and Navigation, AI-ML, Computer Vision, Information Fusion, LLMs, Generative AI, Remote Sensing
Jobs
5
About the company
Certa’s no-code platform makes it easy to digitize and manage the lifecycle of all your suppliers, partners, and customers. With automated onboarding, contract lifecycle management, and ESG management, Certa eliminates the procurement bottleneck and allows companies to onboard third-parties 3x faster.
Jobs
9
About the company
Immigration Consultancies is an Auckland-based immigration consultancy firm that handles the planning and submission process of all kinds of Study, Resident and Work visas for New Zealand, Australia and Canada.
For over 20 years, ICL has dealt with thousands of applications. Will yours be the next application we secure?
Jobs
10
About the company
Jobs
5
About the company
Evolve Network is creating the future of decentralized AI, bringing us closer to AGI. Evolve is a platform for anyone to create advanced multi-agentic teams capable of handling complex digital tasks on the internet. It's an ecosystem to share and create your agentic teams and monetize and incentivize. We’re building a peer-to-peer distributed compute layer for LLM inference and fine-tuning alongside a decentralized data hub with Agentic RAG to solve the alignment problems with LLMs. We’re taking it beyond digital intelligence by building physical embodied AI, humanoid robots, that interact with the real world. This is the next step of human evolution toward a path to AGI. Join now!
Jobs
1
About the company
Jobs
1