Infrastructure Automation Engineer - Ads

At Apple, everything begins with the customer experience. Apple Ads extends this philosophy to advertising—helping people discover what they need while empowering advertisers to grow their businesses.

Our technology delivers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS (Major League Soccer) Season Pass. Every solution we build is rooted in trust, connection, and impact: respecting user privacy, integrating advertising seamlessly into the Apple experience, and delivering value for advertisers of every size—from small app developers to global brands. When advertising is done right, it benefits everyone.

Apple Ads, India is seeking Software Engineers to join the Platform Engineering Team in Hyderabad, focused on enhancing the reliability and performance of the Apple Ads platform. In this role, you will design and develop automation that will enable development teams to provision infrastructure as they need and to deploy code across environments.

Do you love building highly scalable platforms that enable engineering teams to move faster? Join our Platform Engineering team to design, build, and operate cloud-native platforms that simplify infrastructure, improve developer productivity, and enable reliable delivery of large-scale applications.

As a Platform Development Engineer, you will build self-service platform capabilities across cloud infrastructure, Kubernetes, CI/CD, observability, SRE, and developer experience to build secure, scalable, highly available, and automated platforms. You will also explore and leverage AI to automate engineering workflows, improve developer experience, and enhance platform operations.

Minimum Qualifications

Bachelor's degree in Computer Science, Engineering, or a related technical field with 5+ years of Cloud & Platform engineering. Strong programming experience in Python & Go or similar languages. Hands-on experience with AWS (Mandatory), Azure, or GCP and Infrastructure-as-Code such as Terraform, CRD, Helm, ArgoCD, ACK, Kro etc. Experience building and operating Kubernetes/container platforms in production. Experience to build & operate data services on AWS (MSK, Glue, EMR, Spark on EKS, Flink on EKS). Strong experience with CI/CD, Git, GitOps, and deployment automation. Experience with SRE practices, including SLOs, error budgets, reliability automation, capacity planning, and production engineering. Experience with observability platforms such as Datadog, Prometheus, Grafana, OpenTelemetry, ELK, or CloudWatch. Strong software engineering fundamentals and experience building automation, APIs, or reusable engineering frameworks. Strong problem-solving and communication skills with the ability to work across engineering organisations.