Software Engineer, Deployment Platform MultiCloud

Summary

Do you love building the platforms that other engineers depend on to do their best work? Do you want to make deploying an application, from a first preview to production, a one-minute, self-service step instead of a ticket and a wait? As part of our Deployment Platform team in Apple Services Engineering, you'll help build a unified platform to deploy and run applications on demand. You'll write production Go code every day, designing the APIs, control plane, and services that other engineers build on, and you'll work on problems at the intersection of cloud infrastructure, networking, and distributed systems. Your work will be used by thousands of engineers across Apple every day.

Description

We are seeking a Software Engineer to join our Deployment Platform team. Our mission is to create paved paths for developers to deploy and run their applications through one consistent, self-service experience.

Deploying an application is something developers do many times a day, and we aim to make it fast, reliable, and effortless. Our platform gives developers instant, production-like environments to run, preview, and validate their changes, and a smooth path from there to production. You'll collaborate across Apple, taking projects from design through implementation and operations, with a bias toward simple, high-quality, developer-friendly solutions.

Minimum Qualifications

3+ years of relevant industry experience building production software

Strong programming skills in Go, with experience delivering high-quality, concurrent, well-tested services

Solid foundation in software architecture, system design, and problem solving

Hands-on experience with distributed systems and cloud-native architecture, including reconciliation loops, idempotency, eventual consistency, and failure handling, and with distributed data stores and messaging systems (e.g., Cassandra, PostgreSQL, CockroachDB, Kafka, Redis)

Hands-on experience extending Kubernetes, such as writing controllers or operators and CRDs with client-go or controller-runtime

Solid understanding of networking fundamentals: DNS, TCP/HTTP, TLS, load balancing, ingress, egress, and network policy

Experience designing and building REST, gRPC, and/or GraphQL APIs

Ability to design, build, test, and run the services you own, from API design through production

BS or MS in Computer Science or a related technical field

Preferred Qualifications

Experience building developer platforms, internal PaaS, or SDKs and tools used by other engineers

Experience with Java and/or Python, in addition to Go

Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders

Self-motivated and well-organized, with a demonstrated ability to take ownership and drive ambiguous projects to completion

Fluency with AI-assisted software development (coding assistants and agents), and exposure to building AI-powered developer tooling

Experience with data modeling, schema evolution, and tuning for both relational and NoSQL datastores, including transactions, consistency trade-offs, and capacity planning

Familiarity with service identity, secrets management, and secure multi-tenant design

Hands-on experience with Kubernetes and cloud networking, such as ingress and egress controllers, service mesh, CNI, or Gateway API, across multi-cluster, hybrid-cloud, or ephemeral cluster environments, and with debugging networking issues across layers (DNS, TLS, proxies, load balancers)

Experience with object storage (S3-compatible), CDNs or edge routing, and static or dynamic web hosting

Experience with observability: metrics, logging, tracing, and SLOs

Some experience building web UIs with React or a similar modern framework (TypeScript/JavaScript, component-based design, consuming REST/GraphQL APIs)

Familiarity with public cloud providers (e.g., AWS, GCP) and declarative, GitOps-style delivery

Familiarity with containers and container image build and distribution

Familiarity with virtualization and VM workloads alongside containers

Kubernetes application developer certification (CKAD)