Job Details

Job Information

Sr. Software Engineer - AI, Search & Knowledge Observability
AWM-9702-AIML - Sr. Software Engineer - AIML Observability
5/3/2026
5/8/2026
Negotiable
Permanent

Other Information

www.apple.com
Santa Clara, CA, 95054, USA
Santa Clara
California
United States
95054

Job Description

No Video Available
 

Weekly Hours: 40

Role Number: 200619552-3760

Summary

Do you want to build the future of Apple-scale AI enabled observability? We're looking for an experienced full stack observability engineer to design and build cloud-native solutions that empower observability for Search, AIML Infrastructure, and Apple Intelligence products.

We're at the forefront of inventing next-gen observability systems, blending cloud-first engineering, AI, and industry standards to deliver smart, scalable solutions. Your work will directly impact the experience of billions of users on their favorite Apple devices.

If you are a seasoned principal or senior software engineer with a proven track record in building cloud-native observability solutions and have a deep passion for observability, large-scale distributed systems, and cloud-native technologies, we want to talk with you.

Description

We're pioneering the next generation of AI-powered observability solutions. While we innovate to build new solutions, we also leverage industry-standard open-source technologies when needed. In this role, you'll be a technical leader, collaborating with other senior engineers to design, develop and deploy cutting-edge observability solutions for our AI, Search & Knowledge products and infrastructure. You will also provide technical guidance, leverage AI pipelines, and mentor the team to deliver best-in-class solutions.

Minimum Qualifications

  • 7+ years software engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and micro-services

  • Strong coding skills in Go, Javascript, Java, Python

  • Demonstrated experience in designing and building large scale enterprise observability solutions for data collection and storage, visualization and incident management

  • Demonstrated experience in building visualization solutions and features with in-depth understanding of cloud-native visualization frameworks such as Grafana, Datadog

  • Experience in observability collection solutions using time series metrics, distributed traces, logs and profiles with deep understanding of cloud-native technologies such as OpenTelemetry, Prometheus and Jaeger

  • Demonstrated proficiency in AWS services such as EKS and native Kubernetes, storage such as S3, networking, database and observability / monitoring services

  • Excellent verbal and written communication skills with strong problem solving skills

  • Excellent interpersonal skills for collaborating across teams, stakeholders, and open source collaborators

Preferred Qualifications

  • Experience in building micro-services using public cloud infrastructure

  • Proven experience in delivering well-architected, reliable, highly-scalable cloud-native distributed systems for data management, observability or analytics services

  • Building large-scale incident management, alert management and notification systems

  • Experience using Gen AI LLMs and ML models for AI compute and model observability

  • Active cloud-native open source project contributions

  • Proficiency using cloud-native software development tools including coding, CI/CD and testing frameworks

Other Details

No Video Available
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