Distributed Systems Software Engineer (Golang)

Apple•San Diego, CA

About The Position

Apple is looking for a Senior Software Engineer with distributed systems and orchestration experience to join the Satellite Communications Group. Our team builds, monitors, and maintains large scale, highly resilient systems that enable our customers to access communications services via satellite. You’ll be contributing to distributed systems, architecture design, and cloud infrastructure (as code!) for critical and unique customer-facing Apple services. This is a rare opportunity to build and control the entire end to end infrastructure, along with all supporting components such as provisioning, monitoring, deployment, and software platforms, from the beginning within a team with a no-ops culture.

Requirements

5+ years Software engineering or DevOps experience
Proficient in at least one of these languages: Python, Go, Rust, C++
Strong experience with large-scale distributed systems (replication, high availability, data processing/streaming)
Strong experience with Linux/UNIX administration, configuration, and monitoring
Have written or contributed to a batch or realtime processing system
Experience with cloud environments (AWS, GCP, Azure): identity & credential management, pub/sub, message queuing
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Puppet, Flux, Ansible, etc)
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with zero-downtime deployments, job scheduling systems, event-based messaging systems
Able to quickly learn and adapt to new technologies
Strong operational and troubleshooting skills.

Nice To Haves

Deep understanding of distributed systems principles, including consistency, fault tolerance, and scalability.
Strong familiarity with consensus algorithms (e.g., Raft, Paxos, Zab, etc)
Experience building and operating multi-clustered and highly-available services
Experience with Temporal/Cadence/Windmill or other durable execution platforms
Understanding of zero-trust application architecture
Proven experience building and optimizing real-time and batch data processing pipelines using technologies such as Kafka, Spark, Flink, Beam, etc.
Kubernetes experience, including cluster management as well as application deployment and configuration
Experience with IoT/Edge device compute and infrastructure
Experience or interest in RF, Cellular, Satellite communications (Bluetooth, GPS, WiFi, LTE/5G)
Experience with modern web-scale services including servers, vips, load balancers, proxies
Experience working with monitoring and metrics platforms like Splunk and Prometheus
Education: Engineering or technical BS is a positive but not required.