DeepSource
https://deepsource.ioAbout
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Jobs at DeepSource
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Scala
JavaDeepSource 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:
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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:
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Strong foundational knowledge in Computer Science.
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At least 3 years of professional software development experience in Scala and Java.
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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 Scala best practices followed in the industry.
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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:
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Help design an end-to-end test strategy and automation framework and implement a comprehensive test suite.
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Collaborate with the engineering team to integrate the automation framework into our Continuous Integration workflows.
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Estimate, prioritize, plan and coordinate testing activities and track quality assurance metrics.
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Identify, record, document thoroughly, and track bugs and improvements.
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Perform thorough regression testing on every release and when bugs are resolved.
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Work with the engineering team during the development cycles to establish proper test coverage.
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Collaborate with engineering and design teams to assess risk and develop test strategies around new features.
We’re looking for someone who has:
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At least 2 years of professional experience in QA automation.
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Demonstrable ability in writing software in Python/JavaScript (or similar language).
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Experience using automated testing tools, like TestCafe, Selenium, JUnit, Cypress, Appium, XCTest.
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Ability to collaborate and work well with others in a fast-paced, complex environment with attention to detail.
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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.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Ruby
Ruby on Rails (ROR)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.
PythonDeepSource 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.
PHPDeepSource 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.
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Who we are
We are Software Craftspeople. We are proud of the way we work and the code we write. We embrace and are evangelists of eXtreme Programming practices. We heavily believe in being a DevOps organization, where developers own the entire release cycle and thus own quality. And most importantly, we never stop learning!
We work with product organizations to help them scale or modernize their legacy technology solutions. We work with startups to help them operationalize their idea efficiently. We work with large established institutions to help them create internal applications to automate manual opperations and achieve scale.
We design software, design the team a well as the organizational strategy required to successfully release robust and scalable products. Incubyte strives to find people who are passionate about coding, learning and growing along with us. We work with a limited number of clients at a time on dedicated, long term commitments with an aim to bringing a product mindset into services. More on our website: https://www.incubyte.co/
Join our team! We’re always looking for like minded people!
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Embark on a journey with Availity, where your skills meet impact, and your passion meets purpose. Together, lets shape the future of healthcare from the vibrant city of Bengaluru to the heart of the United States.
Join us and be part of a team that is not just changing healthcare but changing lives!
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Celcom Solutions is a global technology services firm specialising in the telecom and BFSI sectors. Founded in the UK in 2010, the company has expanded into India (notably Chennai & Bengaluru) and supports clients across APAC, MENA, Europe, and the UK. celcomsolutions.com+2EMIS+2
Their core offerings span:
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Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.
Our Culture
Our Co-Founder and CTO is a Serial Gen AI Inventor who grew up in Pune, India, is a BITS Pilani graduate, and worked at NVIDIA's Pune office for 6 years. There, he was promoted 5 times in 6 years and was transferred to the NVIDIA Headquarters in Santa Clara, California. After making significant contributions to NVIDIA, he proceeded to attend Harvard for his dual Masters in Engineering and MBA from HBS. Our other Co-Founder/CEO is a successful Serial Entrepreneur who has built multiple companies. As a team, we work very hard, have a curious mind-set, and believe in a low-ego high output approach.
Funding Journey
In September 2024, Blitzy secured $4.4M in seed funding from prominent investors including Link Ventures, Asymmetric Capital Partners, Flybridge, and four other strategic investors, demonstrating strong market confidence in their autonomous software development platform.
Our Values
- We move Blitzy Fast: Time is both our company's and our client's most precious asset. We move fast and fearlessly to innovate internally and deliver exceptional software externally to our clients.
- We have a Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- We have a Passion for Invention: We are inventors at heart. We value starting with best practices and open source, but we are pushing the frontier of what is possible.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships to deep, meaningful partnerships.
What We Ask of Candidates
Please ask yourself if you are ready for a challenge before applying. Even in optimal conditions, Start-Ups are hard, and are always a lot of work. What you do week to week will change. If this feels exciting, not concerning, that's a good sign.
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About the company
Joining the team behind the world’s most trusted artifact firewall isn’t just a job - it’s a mission.
🧩 What the Company Does
This company provides software tools to help development teams manage open-source code securely and efficiently. Its platform covers artifact management, automated policy enforcement, vulnerability detection, software bill of materials (SBOM) management, and AI-powered risk analysis. It's used globally by thousands of enterprises and millions of developers to secure their software supply chains.
👥 Founding Team
The company was founded in the late 2000s by a group of open-source contributors, including one who was heavily involved in building a popular Java-based build automation tool. The company was started by veteran engineers with deep roots in the open-source community—one of whom helped create a widely adopted build automation tool used by millions today.
💰 Funding & Financials
Over the years, the company has raised nearly $150 million across several funding rounds, including a large growth round led by a top-tier private equity firm. It crossed $100 million in annual recurring revenue around 2021 and has remained profitable since. Backers include well-known names in venture capital and private equity.
🏆 Key Milestones & Achievements
- Early on, the company took over stewardship of a widely used public code repository.
- It launched tools for artifact repository management and later expanded into automated security and compliance.
- Has blocked hundreds of thousands of malicious open-source packages and helped companies catch risky components before deployment.
- Released AI-powered tools that go beyond CVE databases to detect deeper threats.
- Recognized as a market leader in software composition analysis by major industry analysts.
- Today, it’s used by many Fortune 100 companies across industries like finance, government, and healthcare.
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