Software Engineer

Snyk
London
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DV Cleared

Senior Machine Learning Engineer

Data Engineer - SC Cleared

Lead Data Engineer

SAS Data Engineer

Lead MLOps Engineer

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.

Our Opportunity

As a Software Engineer at Snyk, you'll be at the forefront of building the future of application security. You’ll be challenged to create high-performance, reliable, and scalable services while collaborating closely with cross-functional teams. We’re looking for individuals who are passionate about crafting exceptional software and solving complex problems.

As a part of our Analysis team you’ll work on building 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. This is a unique opportunity to help evolve what we call Snyk’s DeepCode Engine: the most advanced platform for security code analysis.

You’ll Spend Your Time:

  • Analyzing, designing and implementing high-quality solutions to problems with well-tested, maintainable code.
  • Building systems with the long-term in mind, focusing on good design, robust testing, and sustainability from the perspective of cost and scale.
  • Supporting our customers by resolving bugs and customer support escalations.
  • Communicating thoughtfully, kindly and clearly, both verbally and in the written form.
  • Owning decisions throughout the technical process while working directly with other teams or functions across technical and non-technical domains.
  • Playing an active part in a Snyk engineering team by working collaboratively with others. Ask questions to learn from others and improve existing skills.

What You’ll Need:

  • At least 3 years of commercial experience as a Software Engineer.
  • Experience in software systems design, and familiarity with fundamental computer science concepts (algorithms, complexity, data structures).
  • Proficiency in at least one of our core programming languages (Go, TypeScript), and a willingness and enthusiasm for learning new languages and technologies.
  • Experience in at least one of:
    • Building highly reliable, scalable microservice back-ends for web APIs or applications, or other types of large-scale, high reliability systems.
    • Building web UIs, CLIs or APIs for use by other engineers.
    • Building infrastructure or platform automation, or observability or release tools.
  • Demonstrable skill in effective software testing.
  • Strong commitment to code quality, and the value of giving and receiving feedback through code reviews.
  • Ability to deal with ambiguity, and respond with agility when requirements and priorities change.
  • Effective communicator both verbally and in writing.

We’d be Lucky if You:

  • Able to work collaboratively, are curious and have a growth mindset.
  • Feed off complex technical problems and find solutions where others see roadblocks.
  • Embrace challenges and learn from them.

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

Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.

  • 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

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.