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’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world.
Why this role?
As a Senior Software Engineer, you’ll play a key role in shaping how modern organizations build and secure software at scale. You’ll 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’ll 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'll 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’ll 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'll 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 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.
Coding mainly in Go, and occasionally in Python or TypeScript, deploying solutions via a CI/CD workflow.
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.