This role pays more than
91%
of similar roles. Most pay
$144,350–$209,400
— the shaded band above.
At the midpoint, this role pays about
$255k
versus about
$177k
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
1984 open roles
on FindRole.
Listed pay typically runs
$175,000–$277,600
across 1590 roles with salary data.
Software Engineer, Infrastructure Services (Cloud Network Fault Tolerance) joins the Infrastructure Services team to enhance the fault tolerance of a hyper-scale cloud network. The role involves designing and building automated systems to detect, diagnose, and remediate network failures with minimal human intervention. Key responsibilities include developing decision logic for safe automated actions on production infrastructure, analyzing failure patterns, and creating tools for chaos testing and fault injection. Candidates will apply principles from distributed systems, control theory, and graph algorithms to build resilient software. Required skills include proficiency in Go, C++, Rust, or Python, along with experience in circuit breaking, load shedding, and consensus algorithms like Raft or Paxos. The work focuses on solving complex problems regarding network path degradation, automated remediation, and self-healing systems within a large-scale cloud networking environment.
What does a Software Engineer earn in California?
Median $214000 from 775 postings across 63 companies.
Design and build automated detection, diagnosis, and remediation systems for network faults in a hyperscale cloud environment.
Develop decision logic and safety mechanisms to allow automated systems to take corrective actions on live production infrastructure.
Analyze failure patterns and systemic weaknesses to design software solutions that eliminate or mitigate risks.
Build simulation, chaos testing, and fault-injection tooling to proactively identify system weaknesses before they cause incidents.
Apply formal reasoning regarding distributed systems, control theory, and graph algorithms to build robust, production-grade software.
Translate academic research and industry innovations in resilience engineering into practical, large-scale network systems.
Prototype and experiment rapidly by validating new ideas against real production data and failure scenarios.
What we're looking for
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
4 to 6+ years of professional software engineering experience with production-grade distributed systems and backend infrastructure.
Deep knowledge of computer science fundamentals including distributed systems architecture, concurrency models, graph algorithms, and systems design.
Proficiency in at least one systems-level or high-performance language such as Go, C++, Rust, or Python.
Experience designing fault-tolerant mechanisms like automated self-healing, circuit breaking, load shedding, and blast-radius mitigation.
Experience with chaos engineering, fault injection, simulation-based testing, and stress testing in production or staging environments.
Track record of technical ownership including authoring design documents, conducting code reviews, and leading post-mortem analyses.
Master's or Ph.D. in Computer Science, Distributed Systems, Networking, or a related field (preferred); deep knowledge of cloud networking, SDN, and Linux constructs (preferred).
Go
Java
C++
Python
C
Git
Terraform
OpenTofu
ArgoCD
GitLab CI
infrastructure-as-code
micro-services
RESTful APIs
eBPF
iptables
nftables
OVS
IPv4
IPv6
DNS
SDN
Distributed Systems