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Remote role and mid-range experience increase applicant density despite an AI specialization.
Role requires AI, cloud, and integrations expertise, making skills reasonably transferable but domain-biased.
Multiple mandatory stack and operational requirements (Python/Go, TypeScript/React, GCP, integrations, AI tooling) raise filter strictness.
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Own end-to-end delivery and operation of internal tools including design, implementation, deployment, and iteration.
Build full stack solutions using Python/Go services on GCP Cloud Run, TypeScript/React UIs, event-driven Pub/Sub integrations, and cloud infrastructure.
Integrate multiple third-party SaaS platforms and APIs handling authentication, retries, schema drift, and orchestrate business workflows as observable BPMN flows.
3-9 years of professional software engineering experience.
Proficiency in backend engineering with Python or Go and frontend engineering with TypeScript/React.
Experience deploying and operating cloud infrastructure on GCP including IAM, secrets management, Cloud Run, and deployment pipelines.
Hands-on experience integrating with multiple third-party SaaS platforms using REST APIs, webhooks, OAuth, with robust failure and retry handling.
Strong ownership over full product delivery lifecycle from specification to production operation across distributed systems and event-driven architectures.
Experienced in building and operating scalable cloud-native applications with attention to security and operational reliability.
Comfortable leveraging AI tooling in the software development lifecycle while critically reviewing AI-generated code for correctness and security.