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- Tasks: Design and manage high-scale data infrastructure using Kafka and Snowflake.
- Company: Join Snyk, a leader in secure AI software development.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact on the future of secure software development.
- Qualifications: 5+ years in software engineering with strong data infrastructure focus.
- Other info: Collaborative team culture with a commitment to technical excellence.
The predicted salary is between 36000 - 60000 £ per year.
Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud.
Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
As a Senior Software Engineer, you will play a key role in shaping how modern organizations build and secure software at scale. You will join a collaborative, forward-thinking team and help drive our mission to embed security into every part of the AI-native development lifecycle.
As a part of our teams, you will have the opportunity to make an impact on a wide range of projects, from mastering existing services to building new, cutting-edge features. Your contributions will directly impact the success of our products and the security of millions of developers worldwide.
Join a team of exceptionally strong and talented engineers, who are the backbone of our data infrastructure. You will take full ownership of our high-scale Kafka clusters on Confluent and AWS MSK and our data warehousing in Snowflake, empowering our entire organization with real-time data and shaping our foundational platform.
Our Opportunity
As a Senior Software Engineer, you will be a key driver in defining and building the future of Snyk's data platform. You will have a significant impact on our core systems, designing, implementing, and managing the critical messaging and data warehousing infrastructure that empowers Snyk's reporting and real-time capabilities. You will work within a team of highly talented and collaborative engineers, fostering a culture of technical excellence and continuous improvement.
Within our Data Infrastructure team, you will be maintaining and continuously improving our Confluent and AWS MSK Kafka clusters and their integration with our data warehouse in Snowflake. This is a true platform role where you will not only build but also empower other engineering teams to leverage these systems effectively.
You’ll Spend Your Time:
- Designing, implementing, and managing our large-scale Confluent and AWS MSK Kafka clusters, ensuring their high availability, performance, and scalability.
- Developing and maintaining Infrastructure as Code solutions for both Kafka and Snowflake platforms using Terraform.
- Crafting and architecting complex data pipelines within cloud-based distributed systems.
- Defining and enforcing best practices, governance, and self-service capabilities for our data platforms to improve developer experience.
- Coding mainly in Go, and occasionally in Python or TypeScript, deploying solutions in a CI/CD workflow.
- Conducting performance tuning, monitoring, and troubleshooting of Kafka clusters and data pipelines to maintain operational excellence.
- Collaborating with various engineering teams to understand their data needs and enable them to build reliable, high-throughput applications on top of our platforms.
- Leading technical projects, providing mentorship to more junior engineers, and contributing to the overall technical roadmap of the team.
- Staying ahead of industry trends and evaluating new technologies to continually improve our data infrastructure.
What You’ll Need:
- At least 5 years of commercial experience as a Software or Platform Engineer, with a strong focus on data infrastructure.
- Deep, hands-on experience with Kafka in a production environment, including cluster administration, security (SSL, SASL, ACLs), and performance optimization.
- Extensive experience with Infrastructure as Code, particularly Terraform.
- A solid understanding of distributed systems architecture, including fault tolerance, message ordering, and partition strategies.
- Proficiency in at least one of our core programming languages (Go, TypeScript), and a willingness to learn new languages and technologies.
- Experience with cloud platforms (AWS, GCP, or Azure), especially in managing data-related services.
- Experience with data warehousing concepts and tools, specifically Snowflake.
- A track record of successfully building and operating highly reliable, scalable back-end systems.
- Strong commitment to code quality, testing, and operational excellence.
- Excellent communication and collaboration skills, with the ability to work effectively with diverse technical teams.
We'd be Lucky if You:
- Have experience with Snowflake, Kafka, and Terraform.
- Have experience with Kubernetes in a production environment.
- Have experience with other tools in the Kafka ecosystem like Schema Registry and Kafka Connect.
- Are passionate about data and find joy in solving complex, large-scale technical problems.
- Have a strong sense of ownership and the drive to build sustainable, long-term solutions.
Senior Software Engineer (Data Infrastructure) in London employer: Snyk Ltd.
Contact Detail:
Snyk Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (Data Infrastructure) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data infrastructure and Kafka. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Snyk.
We think you need these skills to ace Senior Software Engineer (Data Infrastructure) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Software Engineer role. Highlight your experience with Kafka, Terraform, and any relevant cloud platforms to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data infrastructure and how your background aligns with our mission at Snyk. Share specific examples of your past projects that demonstrate your expertise.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Go, TypeScript, and any other languages you’ve worked with. We love seeing candidates who can code and have hands-on experience with distributed systems!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Snyk Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of Kafka, Snowflake, and Terraform. Be ready to discuss your hands-on experience with these technologies, especially in a production environment. Prepare examples of how you've optimised performance or solved complex issues in your previous roles.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle some technical challenges or case studies. Think about how you would design a data pipeline or troubleshoot a Kafka cluster. This is your chance to demonstrate your analytical thinking and how you approach problem-solving in real-world scenarios.
✨Collaboration is Key
Since you'll be working closely with various engineering teams, highlight your communication and collaboration skills. Share examples of how you've successfully worked in a team setting, mentored junior engineers, or contributed to a project that required cross-team cooperation.
✨Stay Ahead of the Curve
Show your passion for the industry by discussing recent trends or technologies in data infrastructure. Mention any new tools or methodologies you've been exploring, and how you think they could benefit the company. This will demonstrate your commitment to continuous improvement and innovation.
