Ensure Cloud solutions meet defined SLAs, SLOs, and SLIs
Build Cloud performance harnesses using tools such as JMeter, Locust, Python, and Kubernetes
Collaborate with cross-functional teams to design scalable, cost-effective solutions
Analyze performance findings and provide recommendations to optimize Cloud configurations
Document and report performance findings to development team and stakeholders
Participate in capacity planning and forecasting activities to ensure resources support Insulet growth and peak loads
Work closely with Site Reliability Engineering to refine SLIs and build monitoring capabilities
Create dashboards using monitoring services such as AWS CloudWatch and DataDog
Automate performance activities in Bamboo/Jenkins CI/CD builds
Python scripting, as necessary, to support performance activities
Comply with Insulet quality practices for the design and maintenance of medical products
Requirements
Bachelor's degree in software engineering and 3+ years of relevant work experience or combination of Master's degree in in appropriate field of study and 5+ years of relevant work experience.
Experience planning and designing performance tests for load, stress, spikes, and scalability
Experience developing performance testing scripts for AWS or Cloud
Fluent with Python
Experience developing with performance testing tools such as JMeter or Locust
Experience with message delivery systems such as RabbitMQ and Kafka
Experience with MongoDB
Experience with OpenTelemetry, DataDog or other tools to instrument, generate, and collect data
Able to work independently with minimum supervision.
Able to communicate with candor and trust at multiple levels of the organization.
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