Senior Backend Software Engineer - Infrastructure

Requirements

• 6+ years of experience designing, building, and operating scalable and reliable infrastructure systems in a production environment
• 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

What We Value

• Demonstrated ability to collaborate and empathize 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
• Leading solutions and APIs with users in mind while maintaining a high engineering bar. Seeks to centralize 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

Core Responsibilities

• 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