Senior Software Engineer - AI Observability - AI, Search & Knowledge Platform
Do you want to build the future of AI enabled observability at Apple? We're looking for an experienced AI observability engineer to design and build AI observability solutions that power Apple Intelligence, Search, and AI infrastructure powering Apple's intelligent products. We're at the forefront of building AI-first observability services, blending AI, cloud-first engineering, 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 AI enabled observability solutions and have a deep passion for observability, AI, cloud-native technologies and large-scale distributed systems, we want to talk with you.
Description
The AI, Search & Knowledge Platform Cloud Infrastructure Team within Apple's Services organization designs, builds, and scales the foundational systems that power Search and next-generation machine learning workloads. 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. In this role, you will collaborate with a team of engineers to lead the design and development of user-facing observability features for AIML products and infrastructure. You will also be responsible for providing technical guidance, sharing observability best practices and know-how, leveraging AI pipelines and mentoring the team to develop and deliver best-of-class features and a delightful user experience for all users
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Preferred Qualifications
Knowledge of current Gen AI research and techniques: MCPs, RAG systems, Agentic AI (multi-agent orchestration, tool calling)
Hands-on experience with agentic AI frameworks (e.g. LangGraph, AutoGen, CrewAI) for building multi-step reasoning and tool-using agents
Experience designing multi-agent orchestration, tool-calling, or RAG systems for operational/diagnostic workflows
Demonstrated proficiency operating workloads on public and/or private cloud platforms, Kubernetes, object storage, networking, databases, and observability services
Demonstrated experience in building observability systems for metrics, distributed tracing, logs, profiling
Experience with large scale observability visualization tools like Grafana, DataDog, and ELK
Building large-scale incident management, alert management and notification systems
Active contributions to CNCF or open source projects (e.g., k8sGPT, HolmesGPT, kagent, OpenTelemetry, Prometheus)
Minimum Qualifications
7+ years of software engineering experience building and operating large-scale, cloud-native, distributed systems and microservices in public cloud infrastructure and/or "private cloud" environments
7+ years of software engineering experience and strong background in computer science: distributed systems, algorithms and data structures, APIs and highly-scalable, reliable systems and micro-services
Demonstrated experience using LLM and ML models for AIOps and model observability
Hands on experience building ML pipelines, portable workflows and in model tuning to deploy ML and LLM models in production for customer-facing features
Hands on experience using LLMs, ML frameworks, i.e. TensorFlow, PyTorch and libraries like Scikit-learn, NumPy, LangChain, MLFlow, KubeFlow
Experience building services for Observability Analysis, including anomaly detection, incident detection, automated remediation, and root-cause analysis
Excellent verbal and written communication, problem solving, and cross-team collaboration skills, including with open source communities","internalDetails":null
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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