Seeking a Software Engineer to join the Deployment Platform team to create paved paths for developers to deploy and run applications through a consistent, self-service experience.
Locations (3)
Cupertino, California, United States
San Diego, California, United States
Seattle, Washington, United States
Responsibilities
Build a unified platform to deploy and run applications on demand
Write production Go code to design APIs, control plane, and services
Collaborate across Apple, taking projects from design through implementation and operations
Design, build, test, and run services from API design through production
Design, build, and evolve distributed systems that orchestrate and manage Serverless Elasticsearch projects across cloud service providers, owning Kubernetes orchestration and improving observability.
Compensation
$128,300—$203,000 CAD
Responsibilities
Designing, building, and evolving distributed systems that orchestrate and manage Serverless Elasticsearch projects across cloud service providers
Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch
Owning the Kubernetes orchestration of Elasticsearch clusters in cloud
Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows
Designing and implementing new horizontally-scalable features and APIs in Elasticsearch
Design, build, and evolve distributed systems that orchestrate and manage Serverless Elasticsearch projects across cloud service providers, owning Kubernetes orchestration and improving observability.
The typical starting salary range for this role is: $133,100—$210,600 USD. The typical starting salary range for this role in the select locations listed above is: $159,900—$252,900 USD
Responsibilities
Designing, building, and evolving distributed systems that orchestrate and manage Serverless Elasticsearch projects across cloud service providers
Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch
Owning the Kubernetes orchestration of Elasticsearch clusters in cloud
Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows
Designing and implementing new horizontally-scalable features and APIs in Elasticsearch