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, Google Cloud Platform) 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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 6e843ed8c536ef198a74820b01a4610c
- Posted 5 hours ago
