Local candidates preferred
Senior Software Engineer Infrastructure Tooling
Location: Seattle WA (Hybrid)
Resume Limit: Maximum 4 pages
Visa: All except H1B
Client: Starbucks
Overview:
Starbucks is seeking a Senior Platform Engineer / Software Engineer to join their Infrastructure Tooling team. This is an excellent opportunity for a seasoned software engineer with strong cloud and infrastructure experience who is passionate about building internal tools and automation systems.
Required Skills & Experience:
Programming & Scripting:
Strong Python development experience
Shell scripting for automation and system tasks
Infrastructure as Code & Automation:
Proficiency with Terraform Ansible Docker Kubernetes
CI/CD pipeline development and maintenance
Infrastructure automation and configuration management
Software Engineering:
Strong problem-solving and software design background
Experience building internal tools and platforms
Familiarity with distributed systems and microservices
Cloud & DevOps:
Experience with AWS and/or Azure
Containerization and orchestration in production environments
Monitoring and observability tools (e.g. Prometheus Grafana)
Database Experience:
Proficiency with both SQL and NoSQL databases
Experience with database architecture and administration
Development Practices:
Agile/Scrum methodologies
Git-based source control and CI/CD best practices
Minimum Qualifications:
8 years in software engineering
4 years in application development
4 years of automation/scripting with Python
8 years with infrastructure automation tools (Ansible Terraform Chef Puppet)
8 years building CI/CD pipelines
6 years deploying production code using Docker
Experience with large-scale distributed systems (e.g. Java/Spring Boot Kafka Spark)
Preferred Skills:
Experience with streaming platforms: Kafka NATS Kinesis Event Hub
Familiarity with Databricks Apache Spark ElasticSearch
API management tools like Apigee
Monitoring tools: Datadog New Relic
Local candidates preferred Senior Software Engineer Infrastructure Tooling Location: Seattle WA (Hybrid) Resume Limit: Maximum 4 pages Visa: All except H1B Client: Starbucks Overview: Starbucks is seeking a Senior Platform Engineer / Software Engineer to join their Infrast...
Local candidates preferred
Senior Software Engineer Infrastructure Tooling
Location: Seattle WA (Hybrid)
Resume Limit: Maximum 4 pages
Visa: All except H1B
Client: Starbucks
Overview:
Starbucks is seeking a Senior Platform Engineer / Software Engineer to join their Infrastructure Tooling team. This is an excellent opportunity for a seasoned software engineer with strong cloud and infrastructure experience who is passionate about building internal tools and automation systems.
Required Skills & Experience:
Programming & Scripting:
Strong Python development experience
Shell scripting for automation and system tasks
Infrastructure as Code & Automation:
Proficiency with Terraform Ansible Docker Kubernetes
CI/CD pipeline development and maintenance
Infrastructure automation and configuration management
Software Engineering:
Strong problem-solving and software design background
Experience building internal tools and platforms
Familiarity with distributed systems and microservices
Cloud & DevOps:
Experience with AWS and/or Azure
Containerization and orchestration in production environments
Monitoring and observability tools (e.g. Prometheus Grafana)
Database Experience:
Proficiency with both SQL and NoSQL databases
Experience with database architecture and administration
Development Practices:
Agile/Scrum methodologies
Git-based source control and CI/CD best practices
Minimum Qualifications:
8 years in software engineering
4 years in application development
4 years of automation/scripting with Python
8 years with infrastructure automation tools (Ansible Terraform Chef Puppet)
8 years building CI/CD pipelines
6 years deploying production code using Docker
Experience with large-scale distributed systems (e.g. Java/Spring Boot Kafka Spark)
Preferred Skills:
Experience with streaming platforms: Kafka NATS Kinesis Event Hub
Familiarity with Databricks Apache Spark ElasticSearch
API management tools like Apigee
Monitoring tools: Datadog New Relic
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