{"id":2228661,"url":"https://alion.io/job/general-motors-senior-software-engineer-full-stack-web-development-gcp-vertex-ai-focus","title":"Senior Software Engineer, Full Stack Web Development – GCP & Vertex AI Focus","company":{"id":1705,"name":"General Motors","domain":"gm.com","url":"https://alion.io/company/general-motors-europe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":145000,"max_usd":266000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3441},"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Google GKE","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false},{"name":"Akamai","optional":true},{"name":"ArgoCD","optional":true},{"name":"Azure","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true},{"name":"React.js","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-28T00:00:00Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-20T13:42:53Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Job Description\nHybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX IT Innovation Center 3-4 days per week (T-W-Th)\nWho We Are\nWe are the Brands & Marketing Software Engineering Team within the Digital Products Engineering (DPE) organization at GM. Our team collaborates closely with marketing leaders from across GM to build easy-to-use tooling that powers engaging and innovative customer experiences at scale - including AI-powered discovery and search experiences - while providing meaningful value to our customers through a seamless customer journey.\nOur mission is to rapidly and relentlessly ideate, iterate, and launch the next generation of innovative solutions to connect GM with current and future customers, increasingly leveraging Google Cloud Platform (GCP) and Vertex AI Search to deliver intelligent, personalized digital experiences.\nOur team comprises industry-leading software and quality engineers, who utilize a variety of innovative development methodologies and technologies to achieve breakthrough results, drive innovation, and delight customers.\nThe Role\nWe are looking for an exceptional Senior Software Engineer (Full Stack Web) who is excited about building high-impact web products across General Motors and designing intelligent search and discovery capabilities on Google Cloud Platform using Vertex AI Search.\nYou will be responsible for helping lead our engineering efforts across planning, design and architecture, execution, and ramp - with a particular emphasis on:\nBuilding modern web applications that integrate with GCP-native services\nDesigning and implementing AI-powered search experiences leveraging Vertex AI Search\nCollaborating with product, marketing, and data/ML partners to experiment, measure, and continuously improve search relevance and customer engagement\nAs a technical leader on the team, you will mentor less experienced engineers, build strong relationships with technical leaders on other teams, and help evolve our engineering culture and best practices.\nWhat You’ll Do\nDevelop competency across our complete web technologies stack (client, framework, and services). \nProduce high quality software that is unit tested, reviewed, and checked in regularly for continuous integration and deployment.\nServe as a tech lead, actively mentoring other engineers on the team and helping drive technical decisions and tradeoffs.\nInvestigate and resolve performance bottlenecks across the full stack, including browser, edge, and cloud services.\nLead efforts to automate testing, quality gates, and delivery pipelines, with a strong focus on reliability and observability.\nWork on API, Content Management, edge, and cloud systems that power GM brand and marketing experiences.\nLeverage your technical leadership to ensure we adhere to engineering best practices and evangelize opportunities to improve engineering productivity, and craftsmanship.\nWith a specific focus on Google Cloud Platform and Vertex AI Search, you will:\nDesign 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.\nImplement 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).\nDefine and evolve search schemas, indexing pipelines, and relevance signals (e.g., metadata, event telemetry, personalization signals) to continuously improve search quality and user satisfaction.\nCollaborate 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.\nBuild robust, secure APIs and backend services that expose search and recommendation capabilities to web and mobile clients.\nPartner with product and UX to design search-centric user experiences (autocomplete, facets, filters, recirculation modules, recommendations, etc.) informed by analytics and experimentation.\nLead 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.\nDefine 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.\nYour Skills & Abilities (Required Qualifications)\nBachelor’s degree in Computer Science or related field, or equivalent experience\n5+ years of web application development experience\nStrong frontend and backend development skills, including HTML, CSS, JavaScript, and Java, Python, and/or server-side JavaScript\nHands-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\nExperience with AI-powered search or recommendation systems, ideally Vertex AI Search or similar semantic/vector search platforms\nExperience with system design, testing, debugging, automation, and performance optimization\nWhat Will Give You a Competitive Edge (Preferred Qualifications)\nMaster’s degree in Computer Science or related field\n7+ years of experience building scalable, high-traffic web applications and services\nExperience with ReactJS\nExperience with Adobe Experience Manager, Akamai, and/or Microsoft Azure\nExperience with Helm, Terraform, and ArgoCD\nDirect experience with Vertex AI Search, including schemas, indexing, ingestion pipelines, tuning, and evaluation\nExperience with LLM/embedding-based retrieval, RAG, experimentation, and personalization.\nGm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.\n\nAbout GM\nOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.\nWhy Join Us\nWe believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.\nBenefits Overview\nFrom day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.\nNon-Discrimination and Equal Employment Opportunities (U.S.)\nGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.\nAll employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.\nWe encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.\nAccommodations\nGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. 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