This role pays more than
85%
of similar roles. Most pay
$151,000–$215,000
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$183k
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
2925 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2305 roles with salary data.
Sr. Software Engineer (Ai & Data Platforms) joins the Information Systems and Technology group to design, develop, test, document, and maintain code for world-class AI and data processing systems. This senior-level role involves participating in every project phase from planning and design to implementation and future iterations. The engineer will build high-scale, high-performance, fault-tolerant, and secure cloud-based distributed systems while managing backend code that supports internal operations and infrastructure. Key technical requirements include proficiency in Java, Python, and SQL, along with expertise in concurrency, memory management, and performance optimization. Candidates should be skilled in API implementation, CI/CD tools for containerized applications on Kubernetes, and distributed orchestration tools like Airflow or Spark. The role specifically addresses the development of AI platforms involving Gen AI techniques such as MCP servers and ReAct approaches within a large-scale infrastructure context.
What does a Software Engineer earn in California?
Median $214000 from 763 postings across 66 companies.
Design, develop, test, and maintain high-quality code using Java and Python.
Build and manage world-class AI and data processing platforms.
Implement large-scale, high-performance, and fault-tolerant cloud-based distributed systems.
Develop and implement various API types including REST, RPC, and GraphQL.
Perform performance analysis and troubleshooting for large-scale distributed systems.
Deploy and release containerized software applications using CI/CD tools on Kubernetes.
Build and manage distributed orchestration and computing systems like Airflow, Spark, or Flink.
Develop solutions involving Generative AI technologies such as MCP servers and ReAct approaches.
What we're looking for
B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
5 years of proven experience developing software in a professional capacity.
5 years of experience implementing and shipping high-scale, high-performance, and secure cloud-based distributed systems with API implementation.
5 years of experience building large scale distributed systems in Java/Python or similar languages.
5 years of experience conducting performance analysis and troubleshooting large scale distributed systems.
5 years of experience with Java or Python, including concurrency, memory management, and performance optimization.
Proficiency in SQL.
Proficiency in data structures, algorithms, and software design patterns (preferred); experience with CI/CD, Kubernetes, Gen AI, distributed orchestration, and networking concepts (preferred).
Java
Spring Framework
Spring Boot
Generative AI
LLM
micro-services
PostgreSQL
MongoDB
NoSQL
Kubernetes
AWS
GCP
CI/CD
OpenRewrite
J2EE
Jakarta EE
Distributed Systems