Software Engineer, Deployment Platform MultiCloud

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, youll help build a unified platform to deploy and run applications on demand. Youll write production Go code every day, designing the APIs, control plane, and services that other engineers build on, and youll 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. 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. Youll collaborate across Apple, taking projects from design through implementation and operations, with a bias toward simple, high-quality, developer-friendly solutions.Deployment Platform Engineering Design, build, and own the services that deploy applications into on-demand environments locally and in the cloud, and manage the full lifecycle of those environments. Application Hosting & Delivery Workflows Build the systems that host and serve deployed applications, and the workflows that let developers validate changes before they reach production. Developer Experience & Intelligence Deliver clean REST, gRPC, and GraphQL APIs, a CLI, and a web UI, including AI-powered capabilities that help developers understand and troubleshoot their deployments. Integrations Connect with CI/CD pipelines, source control, secrets and identity systems, and production delivery systems so that environments fit naturally into developers existing workflows. Networking & Connectivity Own how deployed applications are reached and how they reach other services, including ingress, egress, routing, DNS, TLS, and network policy. Data & Messaging Design and operate the distributed data and messaging systems the platform depends on (e.g., Cassandra, PostgreSQL, CockroachDB, Kafka, Redis), with a focus on consistency, availability, and performance at scale. Scale & Reliability by Design Design the platform for isolation, scale, and resilience, and build observability into it from the start.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 fieldExperience 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)