Principal SaaS Software Engineer - Shape the Future of Data Management

Your role

• Design and develop a cloud native enterprise system that scales well and runs reliably
• Lead cross team initiatives, cracking the hardest technical challenges, bringing technical alignment to our SaaS engineering organization
• Help drive our SaaS architecture, including redesigning the current platform and streamlining the release process to ensure rapid time-to-value while maintaining high quality and security standards
• Mentor others (both individuals and teams) by sharing your vast experience, best practices and lessons learned from past failures
• Take end-to-end ownership of the entire product, from feature development to achieving ambitious SLAs
• Attain a profound understanding of data management and design scalable systems capable of handling vast amounts of data within the cloud ecosystem and across various data sources

About you

• You have strong experience with building and running multitenant, cloud native systems reliably at scale
• “Keep things simple” and "You build it you run it" mentality is your default mindset
• You enjoy collaborating across product engineering teams on software architecture with a strong focus on enabling feature teams to deliver high-quality software
• You have a lot of experience with many successes and failures to talk about
• You get joy and pride in sharing your experience and mentoring others
• You still enjoy being hands on - you write clean, well-designed, documented, and testable code, with a strong emphasis on quality, consistency, and speed of delivery
• You have a strong expertise in many of the following areas: distributed systems, multi-tenancy, message queues, continuous integration & deployment
• You are able to keep your ego in check and collaborate productively with others

The Tech We Expect

• Our backend primarily employs the latest versions of Java and Spring Boot, with a warm welcome to Python expertise. For communication we utilise GraphQL.
• Our products are operated in AWS and Azure, so familiarity with these ecosystems and common managed services (e.g., Aurora Serverless, managed AKS, EKS..) is essential.
• We orchestrate our services using Kubernetes, and your comfort with Kubernetes environments, Helm charts, and related technologies is critical.
• Your experience developing fully multi-tenant and distributed systems, as well as working with message queue services like RabbitMQ, will be invaluable.

Our General Tech Stack

• Backend: Java, Spring Boot, Kotlin, GraphQL, Python, jOOQ
• Storage: Aurora, Postgres, Elastic, Minio
• Infrastructure: GitLab CI/CD, Kubernetes, AWS, Azure
• Frontend: TypeScript, React/Vue, Apollo, Nx, MobX..
• Big Data: Spark, Redshift, Snowflake