layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus at General Motors | LAYIQ

Develop competency across our complete web technologies stack (client, framework, and services).
Produce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment.
Serve as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs.
Investigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services.
Lead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability.
Work on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences.
Leverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship.
With a specific focus on Google Cloud Platform and Vertex AI Search, you will: Design and build web applications and services on GCP, leveraging services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery where appropriate.
Implement and integrate Vertex AI Search to power intelligent search, semantic retrieval, and content discovery across GM’s digital products (e.g., marketing sites, owner experiences, support content).
Define and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction.
Collaborate with data science and ML partners to productionize and iterate on search and recommendation models using Vertex AI, including experimentation frameworks and A/B tests.
Build robust, secure APIs and backend services that expose search and recommendation capabilities to web and mobile clients.
Partner with product and UX to design search-centric user experiences (autocomplete, facets, filters, recirculation modules, recommendations, etc.) informed by analytics and experimentation.
Lead the design and development of an enterprise-wide search platform that unifies discovery across brands, channels, and content sources, starting with a Vertex AI Search–based implementation.
Define clear abstraction layers, contracts, and interfaces (query models, result schemas, relevance and signals APIs) so that the core search capabilities can be swapped or extended to other search engines in the future (e.g., alternate cloud search services or self-hosted vector search) with minimal impact to client applications and user experience.
Your Skills & Abilities (Required Qualifications)
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, including HTML, CSS, JavaScript , and Java, Python, and/or server-side JavaScript
Hands-on experience designing and operating production workloads on GCP , including services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, Cloud SQL/Spanner, and BigQuery
Experience with AI-powered search or recommendation systems , ideally Vertex AI Search or similar semantic/vector search platforms
Experience with system design, testing, debugging, automation, and performance optimization

Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus

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