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Job Category: Other
Job Reference: 0fdfb756086c
Job Views: 10
Posted: 21.01.2025
Expiry Date: 07.03.2025
Job Description: Every day, the world gets more digital thanks to tens of millions of developers building the future faster than ever. But with exponential growth comes exponential risk, as outnumbered security teams struggle to secure mountains of code. This is where Snyk (pronounced “sneak”) comes in. Snyk is a developer security platform that makes it easy for development teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure — and do it all right from the start. Snyk is on a mission to make the world a more secure place by empowering developers to develop fast and stay secure.
Joining Snyk means embracing our core values: One Team, Care Deeply, Customer Centric, and Forward Thinking. As a member of our team, you’ll have the opportunity to thrive in a dynamic environment where fostering collaboration, leading with empathy, driving business impact, and inspiring trust are at the heart of everything we do.
We’re looking for an experienced and collaborative software engineer to build the next generation of static code analysis based on a combination of highly-scalable dataflow analysis, a database of the latest security vulnerabilities, and machine learning optimization trained on big code. What we call Snyk’s DeepCode Engine: the most advanced platform for security code analysis.
The team will be focused on solving challenges including:
Maintaining and improving multiple specialized state of the art datalog engines
Keeping the DeepCode engine scalable while new features are added, allowing it to run on hundreds of thousands open source projects (Big Code)
Collaborating with other teams to deliver an almost real time code analysis user experience
You’ll Spend Your Time:
Developing algorithms/abstractions/representations that analyze millions of lines of code in seconds
Using or contributing to state-of-the-art Datalog solvers, our unique approach to interfile analysis, or the engine that detects thousands of vulnerabilities concurrently
Maintaining distributed systems that use these algorithms to build SaaS applications, delivering the results to users quickly, reliably, and with ever improving accuracy
What You’ll Need:
Interest in algorithms and data structures; developing, profiling, and optimizing a highly-parallel, highly-reliable, complex software system
Prioritize collaboration and code review
Work sustainably, quickly, and iteratively
Love working on innovative state-of-the-art projects in an environment that respects its engineers and customers
We’d be Lucky if You:
Have program analysis/compiler experience
Have passion for programming languages; the theory but equally importantly how they are used in practice and how they differ (syntactically and semantically)
Have worked with datalog or graph database implementations
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We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!
About Snyk
Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.
Benefits & Programs
Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
Health benefits, employee assistance plans, and annual wellness allowance
Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
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