Our Opportunity

We are looking for experienced and collaborative Senior Software Engineer to help us build the next generation of our Software Composition Analysis (SCA) scanners. Our scanners aim to detect vulnerabilities in software introduced through their dependencies. Our technology is based on Snyk’s DeepCode Engine and we employ a combination of techniques involving program analysis, symbolic execution and machine learning/optimisation.

As a member of our dependency scanner engine team, you will be focused on:

• Developing deep domain-expertise in software dependency analysis and the inner workings of package managers of various languages and ecosystems.
• Researching and prototyping innovative features, combining a high-degree of autonomy with an opportunity to learn from the wealth of knowledge available within the team
• Communicating and collaborating effectively with others in the team, to create alignment, and a healthy, productive and supportive work environment.
• Helping us build an extremely fast and high-precision analyzer using advanced state-of-the-art techniques.
• Continuously delivering small, high quality changes to production, at a sustainable pace, while also improving processes and driving strategic changes.
• Supporting and growing other engineers through pairing, feedback, and mentoring.
• Sharing our passion for making products that everyone truly loves and being obsessed with driving decisions from data and customer feedback.

You’ll Spend Your Time:

• Developing static analysis algorithms that analyze millions of lines of code in seconds.
• Evaluating and improving precision and coverage of our scanner.
• Owning our stack end-to-end: work on SLOs, performance, observability, deployment.
• Participating in our on-call rotation.

What You’ll Need:

• Passion for learning and becoming an expert in the area.
• Collaborative attitude and focus on problem solving.
• Ability to work sustainably, autonomously, quickly and iteratively.
• Love for working in a fast-paced start-up environment that respects its engineers and customers.
• Strong experience in algorithms and data structures.
• Ability/interest to work with a mix of programming languages and ecosystems.
• Experience working on large production systems, including CI, monitoring, deployment etc.

We’d be Lucky if You:

• Have completed research or have previous relevant experience in the area, including program analysis, compilers, or machine learning/optimisation.
• Already familiar with any of: Typescript, C++, Docker, Kubernetes, Datadog.

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