Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus
Salary not listed • Austin, Texas, United States of America • Full-time
Posted 1mo ago
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Job Location
Austin, Texas, United States of America
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
We are seeking a Senior Software Engineer with a Full Stack Web Development background, focusing on Google Cloud Platform (GCP) and Vertex AI Search. This role is part of the Brands & Marketing Software Engineering Team, responsible for building innovative customer experiences, including AI-powered discovery and search. The mission is to leverage GCP and Vertex AI to deliver intelligent, personalized digital experiences at scale. The successful candidate will lead engineering efforts in planning, design, architecture, and execution, with a strong emphasis on building modern web applications that integrate with GCP-native services and designing AI-powered search experiences.
Responsibilities
- Build modern web applications integrating with GCP-native services.
- Design and implement AI-powered search experiences using Vertex AI Search.
- Collaborate with product, marketing, and data/ML partners to improve search relevance and customer engagement.
- Mentor less experienced engineers and contribute to evolving engineering culture and best practices.
- Develop competency across the complete web technologies stack (client, framework, and services).
- Produce high-quality, unit-tested software for continuous integration and deployment.
- Serve as a tech lead, driving technical decisions and tradeoffs.
- Investigate and resolve performance bottlenecks across the full stack.
- Lead efforts to automate testing, quality gates, and delivery pipelines.
- Work on API, Content Management, edge, and cloud systems powering brand and marketing experiences.
- Design and build web applications and services on GCP, utilizing services like Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery.
- Implement and integrate Vertex AI Search for intelligent search, semantic retrieval, and content discovery.
- Define and evolve search schemas, indexing pipelines, and relevance signals.
- Collaborate with data science and ML partners to productionize and iterate on search and recommendation models using Vertex AI.
- Build robust, secure APIs and backend services for search and recommendation capabilities.
- Partner with product and UX to design search-centric user experiences.
- Lead the design and development of an enterprise-wide search platform.
- Define abstraction layers, contracts, and interfaces for search capabilities.
Requirements
- Bachelor’s degree in Computer Science or related field, or equivalent experience.
- 5+ years of web application development experience.
- Strong frontend and backend development skills (HTML, CSS, JavaScript, Java, Python, and/or server-side JavaScript).
- Hands-on experience designing and operating production workloads on GCP (Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, BigQuery).
- Experience with AI-powered search or recommendation systems (Vertex AI Search or similar semantic/vector search platforms).
- Experience with system design, testing, debugging, automation, and performance optimization.
- Master’s degree in Computer Science or related field (preferred).
- 7+ years of experience building scalable, high-traffic web applications and services (preferred).
- Experience with ReactJS (preferred).
- Experience with Adobe Experience Manager, Akamai, and/or Microsoft Azure (preferred).
- Experience with Helm, Terraform, and ArgoCD (preferred).
- Direct experience with Vertex AI Search, including schemas, indexing, ingestion pipelines, tuning, and evaluation (preferred).
- Experience with LLM/embedding-based retrieval (preferred).