This role pays more than
92%
of similar roles. Most pay
$156,125–$228,950
— the shaded band above.
At the midpoint, this role pays about
$281k
versus about
$193k
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
3643 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2806 roles with salary data.
Software Engineering Manager - Platform Technologies, AIS leads the Platform Technologies team within the Information Security organization. This technical, hands-on leadership role involves managing a high-performing team to build foundational infrastructure and core capabilities for a security data platform. The manager is responsible for designing and developing advanced query and indexing capabilities, core platform libraries, APIs, and data integration services that support mission-critical operations at scale. Candidates must possess expertise in distributed systems and data infrastructure, with proficiency in Scala, Python, Go, Swift, or Java. Relevant technologies include Spark, Databricks, Delta Lake, Apache Iceberg, and potentially Apache Lucene or Elasticsearch. The role addresses the technical challenge of building a scalable security monitoring ecosystem, requiring skills in multi-tenant platform design, data governance, and high-quality production service delivery within a fast-paced environment to solve complex security data problems.
What does a Software Engineering Manager earn in California?
Median $281300 from 48 postings across 16 companies.
Lead a high-performing engineering team building foundational infrastructure and core capabilities for the security data platform.
Design and develop advanced query, indexing, and data integration services for mission-critical systems.
Build and maintain core platform libraries and APIs used by internal teams to operate at scale.
Drive long-term technical vision while executing near-term results in a fast-paced environment.
Manage the development of large-scale distributed systems and data infrastructure like Spark or Databricks.
Improve platform reliability, performance, and scalability for security monitoring capabilities.
Oversee the production of high-quality code, testing, CI/CD pipelines, and technical documentation.
Coordinate with partner organizations to ensure the successful delivery of shared platform capabilities.
What we're looking for
10+ years of industry experience including at least 3 years of management experience leading software engineering teams.
Strong skills in software design, problem solving, and debugging with hands-on experience in distributed systems or large-scale data infrastructure.
Proficiency in one or more of the following languages: Scala, Python, Go, Swift, or Java.
Experience building or operating data lake, lakehouse, or large-scale analytics platforms such as Spark, Databricks, Delta Lake, or Apache Iceberg.
Proven track record of shipping high-quality, production-grade services and platforms.
Strong written and verbal communication skills to communicate clearly with diverse audiences including junior engineers and partner teams.
Familiarity with indexing/search technologies (Elasticsearch), cloud infrastructure (AWS), data governance, or GenAI/ML platform engineering (preferred).
Background in information security, security operations, or security data platforms (preferred).