Senior Software Platform Engineer, Apple Pay
Apple
- Location
- Onsite (New York City, New York)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 weeks ago
About the Role
Apple Pay is seeking a Senior Software Platform Engineer to build and operate the internal developer platform for the Wallet, Payments, and Commerce organization. This role focuses on designing APIs and production code that support the full software development lifecycle, ensuring high performance, correctness, and reliability for engineering teams.
Skills
Go
Java
Kotlin
C++
Kubernetes
Distributed Systems
API Design
Cloud Infrastructure
Infrastructure as Code
Terraform
Observability
GitOps
System Performance
Concurrency
Error Handling
Software Development Lifecycle
Full job details
We build and operate the internal developer platform used by every engineering team in the Wallet, Payments and Commerce organization. The platform covers the full software development lifecycle, from scaffolding a new service through building and releasing it, provisioning the cloud infrastructure and data stores it depends on, deploying it across multiple regions, and giving teams the observability and operational tooling they need to run it in production.
As demand for these services grows, we are expanding the team that builds the platform beneath them. We work under strict privacy, security and compliance requirements, and we hold a high bar for engineering quality. The platform exists so teams can build and ship new products faster and more reliably than they could on their own.
This is a software engineering role on the team that builds the platform itself. The primary output is design and code. You will design the APIs, write the production code behind them, and own the performance and correctness of systems that engineering teams across the organization depend on daily.
6+ years building and operating production backend or infrastructure systems. Strong programming ability in Go, or in Java, Kotlin, C++ or a comparable statically typed language, with solid fundamentals in API design, concurrency and error handling. A real testing practice. You write tests that would catch a regression rather than tests that restate the implementation. Distributed systems experience covering idempotency, eventual consistency, retries and partial failure, plus practical performance work where you profiled something and measured the fix. Working knowledge of Kubernetes and extensive cloud experience with at least one of the major cloud providers. Excellent written and verbal communication, including design documents and incident write-ups that other engineers can act on.
Experience writing Kubernetes controllers or operators in production, including custom resource design and schema versioning. Experience with declarative configuration and templating systems such as Pkl, CUE, Jsonnet, Kustomize or Helm, or with infrastructure as code such as Terraform. Extended experience in at least one of: GitOps and progressive delivery, developer platforms and internal tooling, multi-region and disaster recovery, observability, or regulated environments such as PCI. Fluency with coding agents and LLM-based development tooling, and judgment about when to trust their output. Ability to coach and mentor other ICs, and to lead a design review to a decision.
Description
This is a software engineering role on the team that builds the platform itself. The primary output is design and code. You will design the APIs, write the production code behind them, and own the performance and correctness of systems that engineering teams across the organization depend on daily.
Minimum Qualifications
6+ years building and operating production backend or infrastructure systems. Strong programming ability in Go, or in Java, Kotlin, C++ or a comparable statically typed language, with solid fundamentals in API design, concurrency and error handling. A real testing practice. You write tests that would catch a regression rather than tests that restate the implementation. Distributed systems experience covering idempotency, eventual consistency, retries and partial failure, plus practical performance work where you profiled something and measured the fix. Working knowledge of Kubernetes and extensive cloud experience with at least one of the major cloud providers. Excellent written and verbal communication, including design documents and incident write-ups that other engineers can act on.
Preferred Qualifications
Experience writing Kubernetes controllers or operators in production, including custom resource design and schema versioning. Experience with declarative configuration and templating systems such as Pkl, CUE, Jsonnet, Kustomize or Helm, or with infrastructure as code such as Terraform. Extended experience in at least one of: GitOps and progressive delivery, developer platforms and internal tooling, multi-region and disaster recovery, observability, or regulated environments such as PCI. Fluency with coding agents and LLM-based development tooling, and judgment about when to trust their output. Ability to coach and mentor other ICs, and to lead a design review to a decision.