Infrastructure Automation Engineer - Ads
Apple · Software and Services
Apply ↗Skills
["AWS""Airflow""Azure""CI/CD""Flink""GCP""Go""Kafka""Kubernetes""Python""RAG""Scala""Spark""Terraform"]Technology stack
{"programming_languages": ["Python""Go""Scala"]"frameworks": ["Kafka""Flink""Spark""Airflow"]"databases": []"cloud": ["AWS""Azure""GCP"]"infrastructure": ["Kubernetes""Terraform""CI/CD"]"data_tools": []"ai_ml": ["RAG"]"other_tools": []}Description
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.
Requirements
["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.", "Preferred: Experience building Internal Developer Platforms (IDPs), self-service infrastructure, Golden Paths, developer portals, or platform APIs.", "Preferred: Exposure to data platforms and distributed data frameworks such as Hadoop, Spark, Flink, Kafka, or similar technologies.", "Preferred: Exposure to cloud data services and query engines such as AWS Glue, Athena, EMR, Trino or equivalent technologies.", "Preferred: Experience with workflow/orchestration technologies such as Airflow, Temporal etc.", "Preferred: Experience with multiple public clouds or hybrid cloud environments.", "Preferred: Experience contributing to open-source projects or building reusable engineering frameworks."]
Roles & responsibilities
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