Responsibilities:
Design end-to-end, full-stack cloud architectures on Google Cloud Platform, formulating system designs and making objective technical trade-offs regarding functionality, performance, and integration to optimize solution scalability.
Configure and implement automated software delivery (CI/CD) pipelines and cloud-native release strategies (Canary or Blue/Green) on container platforms like GKE or Cloud Run.
Instrument application telemetry, distributed tracing within solution architectures to enable rapid bug triage, auditability, and performance tuning.
Earn trust as a technical advisor to customer practitioners and project leads facilitating discovery workshops, resolving engineering blockers, and collaborating cross-functionally with Google Cloud Product, and partner teams.
Recognize repeatable architectural patterns and reference code from client engagements, packaging them into reusable team assets and supporting the technical scoping of pipeline opportunities.
Minimum qualifications:
Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
3 years of experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++).
Experience designing cloud enterprise solutions and supporting customer projects to completion.
Ability to communicate in English fluently to collaborate efficiently with local customers.
Preferred qualifications:
Active Google Cloud Professional Cloud Architect (PCA) or Professional Cloud Developer (PCD) certification.
Experience designing and writing testable code from the ground up, utilizing frameworks like pytest to build comprehensive automated test suites for validation pipelines.
Experience or familiarity coding in additional languages such as Go, TypeScript/JavaScript, or C#.
Practical experience instrumenting code for distributed tracing, structured logging, and metrics collection using open standards (e.g. OpenTelemetry) specifically for deep system debugging and profiling.
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