Backend Software Engineer - Infrastructure, Foundations

Building a performant search and indexing ecosystem for complex granularly permissioned data

Contributing to open-source data processing libraries, integrating the latest innovations to achieve performance gains

Building the distributed systems that power large scale compute workloads, orchestrating and efficiently scheduling hundreds of thousands of containers every hour

Designing architecture and opinionated APIs to keep application developers on the happy path

Tracing and performance observability in high scale distributed microservice architectures

Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build robust applications without deep domain expertise in the underlying systems

Automating the deployment, management, and operations of complex distributed systems like Cassandra, Elasticsearch, Kafka, and more across different environments

Different backend languages, including Java, Rust, and Go

Open-source technologies like Cassandra, ElasticSearch, Spark, Kafka, Kubernetes, Flink

Industry-standard build tooling, including Gradle and GitHub

Demonstrated ability to collaborate and empathise with a variety of individuals. Able to iterate with users and non-technical stakeholders and understand how technical decisions impact them.

Ability to learn new technology and concepts, even without in-depth experience. Experience developing and managing highly-available distributed systems is beneficial, but not required.

Bias towards quality and thoughtful about edge cases (“anything that can go wrong will go wrong”); writes code that is defensive against all possibilities.

Builds solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralise and abstract complexity away from our users in order to expose simple, powerful APIs for consumers.

Active US Security clearance, or eligibility and willingness to obtain a US Security clearance is beneficial, but not necessary.

Engineering background in Computer Science, Mathematics, Software Engineering, Physics or similar field

Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, Rust, or similar languages

Familiarity with storage and data processing systems, cloud infrastructure, and other technical tools

Strong written and verbal communication skills and ability to iterate quickly with teammates, incorporating feedback and holding a high bar for quality