Senior Software Engineer, Observability

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cary, NC
Posted
127 days ago
Freshness
Confirmed live yesterday

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Similar $182k
$106k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $151,000–$214,000.

Based on 240 similar postings.

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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.

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TL;DR · Senior Software Engineer, Observability

Senior Software Engineer — Observability joins the Wallet, Payments, and Commerce team to design and develop observability platforms, reliability tooling, and AI-powered automation. The role involves building a solution for deep visibility into service health using OTEL standards for metrics and traces, creating helper libraries for telemetry emission, and refactoring legacy Java instrumentation into standard OpenTelemetry formats. You will also build intelligent tools for automated incident triage and AI-assisted debugging to reduce on-call burdens. Key technologies include Kotlin, Go, Python, Java, Grafana, Datadog, Prometheus, Splunk, and LLM integrations. The work focuses on the critical payment infrastructure domain, where systems must maintain high availability, low latency, and strict security for financial transactions. You will manage high-throughput data pipelines and distributed systems to ensure reliability in a complex, high-scale commerce environment.

What does a Software Engineer earn in North Carolina?

Median $173725 from 34 postings across 14 companies.

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What you'll do

  • Design and build an observability platform using OpenTelemetry standards for metrics, traces, and intelligent alerting.
  • Develop helper libraries to provide reliable functionality for emitting telemetry and propagating context across systems.
  • Configure and implement Otel processors, filters, and metadata enrichment across the data pipeline.
  • Refactor and migrate legacy Java-based instrumentation into standard OpenTelemetry formats.
  • Build AI-powered tools for automated incident triage, root cause analysis, and runbook generation.
  • Create technical documentation and training materials to facilitate team adoption of observability tools.
  • Develop high-throughput telemetry pipelines that meet strict financial security and compliance requirements.

What we're looking for

  • BS or MS in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
  • 7+ years of experience in software engineering with a focus on building backend systems, platforms, and tooling.
  • Proven experience building observability or reliability tooling including monitoring, alerting, log pipelines, and tracing infrastructure.
  • Deep technical understanding of the OpenTelemetry ecosystem, including Collectors, SDKs, Exporters, and integration with Grafana or Datadog.
  • Proficiency in Kotlin (highly valued), Go, Python, or Java.
  • Experience designing high-throughput systems such as telemetry pipelines, streaming systems, or transaction processing platforms.
  • Hands-on experience with LLMs and AI APIs to build integrations, agents, or automation pipelines for operational problems.
  • Familiarity with SRE practices, distributed systems, and production infrastructure including Kubernetes and CI/CD.

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