below marketmost similar roles pay hereabove market
This role pays more than
65%
of similar roles. Most pay
$147,575–$215,312
— the blue band above.
At the midpoint, this role pays about
$203k
versus about
$181k
for comparable roles.
Based on 240 similar postings.
Employer
About Apple Inc
Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software
Apple Inc currently has
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
The Workflow Automation SRE, ASE Data Services joins the Services Engineering organization to build and maintain a durable workflow orchestration platform for the Data Services fleet. This role involves replacing legacy systems and manual runbooks with observable, resumable workflows for critical operations like rolling upgrades, host replacements, and cluster expansions. You will design and build workers and workflow definitions, composing operations across existing execution layers including host and pod provisioning, topology discovery, and monitoring systems. The position requires proficiency in Java, with valuable skills in Go or Python. You will work with distributed databases such as Cassandra, Redis/Valkey, Kafka, Solr, ZooKeeper, and etcd. The work focuses on automating complex database operational concepts across bare-metal, virtualized, and Kubernetes platforms to ensure reliability for internet-facing services.
Design and operate durable workflow automation for database operations like rolling upgrades, host replacements, and cluster expansions.
Write workflow and activity code to compose per-node management APIs, provisioning APIs, and monitoring systems into resumable operations.
Migrate operational logic from legacy systems and manual runbooks onto a durable execution model with retry and signal capabilities.
Build developer and operator tools including CLIs and execution visibility for submitting, monitoring, and debugging running operations.
Apply SRE practices such as monitoring, alerting, and incident management to the automation platform and the operations it drives.
Automate complex database concepts including drain and recovery semantics, ring balancing, and health validation against live clusters.
Deploy and manage workers across bare-metal, virtualized, and containerized (Kubernetes) platforms while reasoning about cross-datacenter connectivity.
What we're looking for
BS or MS in Computer Science or a related field, or equivalent work experience.
5+ years of experience in a Site Reliability Engineering or infrastructure-focused engineering role.
Proficiency in Java is required; proficiency in Go or Python is also valuable.
Hands-on experience designing or operating workflow, orchestration, or job-scheduling systems for long-running, failure-prone operations.
Experience supporting internet-facing production services and distributed systems via deployments, on-call, and incident management.
Real operational experience managing large-scale infrastructure and services on Kubernetes.
Direct experience with durable-execution engines like Temporal or Cadence (preferred).
Experience operating or building tooling for distributed databases like Cassandra, Redis, Kafka, or Solr (preferred).
Site Reliability Engineering
Kubernetes
Python
Go
Java
Linux
Distributed Systems
micro-services
Networking
Security
Encryption
Monitoring
Alerting
Capacity Planning
Disaster Recovery