Senior Software Engineer — Observability

Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Apple Pay and Wallet are at the heart of how millions of people around the world make payments store credentials and interact with commerce every day. Behind every tap every transaction and every boarding pass is a set of systems that must be fast reliable and secure at massive scale. We are looking for a Senior Software Engineer to join the Wallet Payments and Commerce (WPC) team and help define how we build observe and operate these critical this role you will design and develop the observability platforms reliability tooling and AI-powered automation that empower WPC engineering teams to ship with confidence resolve issues in real time and deliver seamless experiences to hundreds of millions of users.

Apple Pay processes billions of transactions across millions of merchants worldwide. The systems behind Apple Pay Apple Wallet Apple Cash Tap to Pay and our commerce platforms must meet the highest standards for availability latency security and correctness with zero tolerance for downtime or data is a software engineering role within one of Apples most critical and high-scale service organizations. You will bring strong design and architecture skills to solve complex problems at the intersection of payments infrastructure observability DevOps tooling and AI and you will ship production-quality software that WPC teams depend on to keep Apple Pay running for customers around the world.

Design and build a solution that will give teams deep visibility into the health and performance of our services and the supporting infrastructure - an Observability platform using OTEL standards for metrics and traces easily configurable visualization layer and intelligent alerting - built to support ingestion processing and serving high-volume telemetry data while meeting the unique demands of financial and payment systems where every millisecond and every failed transaction matters and meeting compliance/privacy/security requirements for data is and maintain helper library that provide reliable and easy to use functionality for emitting telemetry propagating context and enforcing standards (OTEL-based) and enable integration with consuming applications and telemetry visualization layer (such as Grafana or Datadog) ensuring zero telemetry loss during and implement Otel processors filters and metadata enrichment. Standardize and deploy approved exporters across the pipeline. Execute metadata enrichment standards across the SDK Collector and Gateway and migrate legacy Java-based instrumentation into standard OpenTelemetry formats to ensure accurate technical documentation and training material to facilitate knowledge sharing and team intelligent tooling from automated incident triage and transaction-aware root cause analysis to AI-assisted debugging and runbook generation that meaningfully reduces on-call burden accelerates resolution of payment-critical incidents and improves developer productivity across WPC.

7 years of experience in software engineering with a strong emphasis on building backend systems platforms and toolingnProven experience building observability or reliability tooling such as monitoring systems alerting platforms log pipelines tracing infrastructure or diagnostic tools. Deep technical understanding of the Otel ecosystem including configuring Collectors SDKs and Exporters. Proven experience integrating telemetry data with Grafana and DatadognStrong proficiency in Kotlin Go Python or Java with Kotlin experience highly valuednDeep understanding of distributed systems concepts including data pipelines event-driven architectures API design and service-to-service communicationnExperience designing systems that handle high-throughput data ingestion and processing such as telemetry pipelines streaming systems or transaction processing platformsnSolid understanding of datastores and their trade-offs relational databases NoSQL time-series databases caching layers and message brokersnWorking knowledge of production infrastructure concepts including containers Kubernetes cloud platforms networking fundamentals and CI/CD systemsnExperience with observability platforms and standards such as Prometheus Grafana Datadog OpenTelemetry Splunk or similarnHands-on experience with LLMs and AI APIs building integrations agents or automation pipelines that solve real operational problemsnExperience building internal developer tools platforms or CLIs that are adopted and used daily by engineering teamsnFamiliarity with SRE practices including SLOs/SLIs error budgets incident management and post-incident reviewnStrong software design skills you write clean well-tested maintainable code and care deeply about system architecturenExcellent communication and collaboration skills with the ability to lead design reviews and drive technical alignment across or MS in Computer Science Software Engineering or a related field or equivalent professional experience.

Experience working on payment systems financial services platforms or other high-compliance high-availability domainsnExperience applying AI/ML to operational problems such as anomaly detection transaction pattern analysis log summarization automated diagnostics or intelligent alertingnFamiliarity with security and compliance considerations in financial and payment systems (PCI-DSS tokenization encryption at rest and in transit)nExperience with Infrastructure-as-Code tools such as Terraform or Pulumi as a tooling buildernExperience building systems that require strong correctness guarantees idempotency exactly-once processing auditability and data integrity at scale