About the position
As a member of our team you will build software systems that power our security prevention, detection, and response to malware. You will work on our large scale pipelines that process and analyze software for Apple. You will also create and improve various heuristics for detecting and blocking malware as well as improving efficiency of the teams we support. New security capabilities will be supported and we encourage you to bring your ideas to the table to help our mission. You will keep systems reliable, performant, and observable to keep operations lean. Our team cares deeply about providing Apple’s customers with the highest standard in security and privacy on our products. We build large-scale systems that automate vulnerability discovery in Apple software and we build public-facing systems to collaborate with external security teams. This role is a Software Engineering/SRE role tasked with making these systems highly reliable while scaling to the needs of our customers’ 1B+ devices.
Responsibilities
- Restructure a monolithic pipeline into a set of microservices
- Implement security analysis fuzzing infrastructure with 100k parallel nodes
- Building internal facing CRUD web app to collaborate with external teams
- Create automatic provisioning and deployment tools and provide CI/CD
- Analyze telemetry and optimize system performance of both microservice and monolith cloud applications
- Debug without boundaries and deep dive into the full stack and improving the ability to debug the code as you go
- Keep business-critical systems running with maximal automation and minimal human intervention
- Continually reduce operational load for the team by improving the observability and reliability of our systems
Requirements
- Bachelor's degree in computer science, or equivalent experience of 2 or more years building or rebuilding large scale data processing pipelines as a key contributor owning both operations and software development
- Requirement for on-call rotation, which includes weekends
- Excellent coding skills leading to performant and debuggable code that can be maintained by a large team, ideally in an imperative programming language used by SRE teams. Examples: Python (preferred), Ruby, Golang
- Effective communication of complex technical concepts leading to shipping impactful projects
- Have owned and deployed software supporting a critical function to cloud or bare metal systems where uptime matters
- Enthusiasm for new technologies and growth
Nice-to-haves
- Experience with Kubernetes and/or Amazon Web Services
- Experienced with building cloud services and distributed systems that are performance sensitive and observable
- Experienced in database utilization at scale
- Front end experience doing light HTML, Javascript, and React for updating simple CRUD applications
- Strong Python experience
