Senior Software Engineer, Observability

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
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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At a glance

TL;DR · Senior Software Engineer, Observability

Senior Software Engineer — Observability joins the Wallet, Payments, and Commerce team to design and develop critical observability platforms, reliability tooling, and AI-powered automation. The role involves building systems for high-volume telemetry data using OpenTelemetry standards, creating helper libraries for metrics and traces, and refactoring legacy Java instrumentation into standard formats. You will build intelligent tools for automated incident triage, root cause analysis, and AI-assisted debugging to reduce on-call burdens. Key technologies include Kotlin, Go, Python, or Java, alongside experience with Grafana, Datadog, Prometheus, and Splunk. The work focuses on the complex domain of payment infrastructure, where systems must ensure high availability, low latency, and strict security for financial transactions. You will manage data pipelines, distributed systems, and infrastructure components like Kubernetes to solve problems in a high-compliance environment requiring extreme accuracy and reliability.

What does a Software Engineer earn in Texas?

Median $186925 from 189 postings across 40 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 internal team adoption of observability tools.

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 tools using the OpenTelemetry ecosystem, Grafana, and Datadog.
  • Proficiency in Kotlin, Go, Python, or Java, with Kotlin experience highly valued.
  • Experience designing high-throughput distributed systems including data pipelines, event-driven architectures, and transaction processing.
  • Knowledge of datastores (relational, NoSQL, time-series), caching layers, message brokers, and infrastructure like Kubernetes and CI/CD.
  • Hands-on experience with LLMs and AI APIs to build integrations or automation for operational problems.
  • Experience building internal developer tools and platforms used by engineering teams.

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