{"schemaVersion":"jobsearcher.job.v1","id":"de24915cd24259fec752df9b","url":"https://jobsearcher.com/jobs/de24915cd24259fec752df9b","canonicalUrl":"https://jobsearcher.com/jobs/de24915cd24259fec752df9b","title":"Full - Stack Platform Engineer","description":"Los Angeles, CA, United States (On-site)\nContract (6 months 9 days)\nPublished 2 months ago\ndata transformation\nperformance optimization\nTroubleshooting & Debugging\naws serverless\nnext.js\nCI/CD\nproduction support\nObservability & Monitoring\nAWS Integrations\nYou will be the primary engineer developing, operating, and troubleshooting two high-visibilitycontent sites built on a shared stack: Next.js/React delivered via Contentstack Launch withSSR and CDN caching/revalidation. Editorial changes publish into time-based cache windowsrather than instantly.\nBackend/platform scope spans: title/asset ingestion from OVC with assets from CVP/MPX into Content stack (in a separate AWS account) for UAA/UPAH, plus AWS serverless features and mParticle integration for Focus Features, with DataDog planned and Cloudflare being decommissioned.\n\nRequired years of experience:\n7+ years professional software engineering for large-scale web platforms.\n3+ years building and operating Next.js/React applications with SSR and CDNcaching/revalidation.\n2+ years hands-on with headless CMS and Contentstack Launch (content models, environments/builds, cache invalidation triggers).\n2+ years operating AWS serverless workloads (e.g., Lambda, API Gateway) and production integrations (e.g., mParticle).\n2+ years production monitoring/alerting and incident response (e.g., DataDog planned adoption).\nExperience with media title/asset ingestion flows (OVC, CVP/MPX CMS) and coordinating across accounts/environments.\n\nKey responsibilities:\nFrontend (Next.js/React + SSR)\nOwn SSR routes/components, performance, accessibility/SEO; manage cache-controlheaders and confirm edge caching/revalidation behavior.\nCMS and Launch operations (Contentstack)\nEvolve content models; manage Launch environments/builds and automations that triggerpage-level cache invalidation after publish.\nCaching and freshness\nTune time-based cache policies and revalidation for page types (e.g., titles, lists, search;typical windows around 5 minutes, configurable).\nIngestion and data quality (UAA/UPAH)\nMaintain mappings/transforms from OVC/CVP/MPX into Contentstack; align data freshnesswith cache windows; coordinate with the separate AWS account.\nServerless features and integrations (Focus Features)\nOperate and troubleshoot AWS serverless features (e.g., Insiders, Facebook Leadgen) andmaintain mParticle integration paths.\nObservability, reliability, and releases\nImplement/maintain monitoring and alerting (DataDog planned), create runbooks, leadincident response across frontend/Launch, ingestion, and serverless paths.\nOwn CI/CD via Contentstack Launch; coordinate release timing with cache revalidation andingestion cycles; support system simplification (e.g., Cloudflare decommission).\n\nMinimum qualifications:\nProficiency with Next.js/React SSR and CDN caching/revalidation at scale.\nHands-on expertise with Contentstack Launch operations and page-level cache invalidation flows.\nExperience operating AWS serverless features and data integrations (including mParticle for membership features).\nDemonstrated ownership of ingestion pipelines for media metadata and assets into a CMS(OVC/CVP/MPX Contentstack).\nSolid monitoring/alerting, on-call participation, and incident response.\n\nPreferred qualifications:\nIntroducing or maturing DataDog dashboards/APM/alerts; driving platform simplification (e.g.,retiring secondary CDN components like Cloudflare).\nStrong collaboration with editorial teams on caching expectations and publishing workflows; tuning TTLs and revalidation behavior.\n\nPrimary troubleshooting domains:\nCDN cache headers/revalidation, stale content windows.\nIngestion timing/field mapping issues across OVC/CVP/MPX into Contentstack.\nServerless endpoints/integrations for Insiders/Leadgen and related data paths.\nThe pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","company":"Capgemini","rawCompany":"capgemini","city":"Los Angeles","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T17:20:55.796Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full - Stack Platform Engineer","description":"Los Angeles, CA, United States (On-site)\nContract (6 months 9 days)\nPublished 2 months ago\ndata transformation\nperformance optimization\nTroubleshooting & Debugging\naws serverless\nnext.js\nCI/CD\nproduction support\nObservability & Monitoring\nAWS Integrations\nYou will be the primary engineer developing, operating, and troubleshooting two high-visibilitycontent sites built on a shared stack: Next.js/React delivered via Contentstack Launch withSSR and CDN caching/revalidation. Editorial changes publish into time-based cache windowsrather than instantly.\nBackend/platform scope spans: title/asset ingestion from OVC with assets from CVP/MPX into Content stack (in a separate AWS account) for UAA/UPAH, plus AWS serverless features and mParticle integration for Focus Features, with DataDog planned and Cloudflare being decommissioned.\n\nRequired years of experience:\n7+ years professional software engineering for large-scale web platforms.\n3+ years building and operating Next.js/React applications with SSR and CDNcaching/revalidation.\n2+ years hands-on with headless CMS and Contentstack Launch (content models, environments/builds, cache invalidation triggers).\n2+ years operating AWS serverless workloads (e.g., Lambda, API Gateway) and production integrations (e.g., mParticle).\n2+ years production monitoring/alerting and incident response (e.g., DataDog planned adoption).\nExperience with media title/asset ingestion flows (OVC, CVP/MPX CMS) and coordinating across accounts/environments.\n\nKey responsibilities:\nFrontend (Next.js/React + SSR)\nOwn SSR routes/components, performance, accessibility/SEO; manage cache-controlheaders and confirm edge caching/revalidation behavior.\nCMS and Launch operations (Contentstack)\nEvolve content models; manage Launch environments/builds and automations that triggerpage-level cache invalidation after publish.\nCaching and freshness\nTune time-based cache policies and revalidation for page types (e.g., titles, lists, search;typical windows around 5 minutes, configurable).\nIngestion and data quality (UAA/UPAH)\nMaintain mappings/transforms from OVC/CVP/MPX into Contentstack; align data freshnesswith cache windows; coordinate with the separate AWS account.\nServerless features and integrations (Focus Features)\nOperate and troubleshoot AWS serverless features (e.g., Insiders, Facebook Leadgen) andmaintain mParticle integration paths.\nObservability, reliability, and releases\nImplement/maintain monitoring and alerting (DataDog planned), create runbooks, leadincident response across frontend/Launch, ingestion, and serverless paths.\nOwn CI/CD via Contentstack Launch; coordinate release timing with cache revalidation andingestion cycles; support system simplification (e.g., Cloudflare decommission).\n\nMinimum qualifications:\nProficiency with Next.js/React SSR and CDN caching/revalidation at scale.\nHands-on expertise with Contentstack Launch operations and page-level cache invalidation flows.\nExperience operating AWS serverless features and data integrations (including mParticle for membership features).\nDemonstrated ownership of ingestion pipelines for media metadata and assets into a CMS(OVC/CVP/MPX Contentstack).\nSolid monitoring/alerting, on-call participation, and incident response.\n\nPreferred qualifications:\nIntroducing or maturing DataDog dashboards/APM/alerts; driving platform simplification (e.g.,retiring secondary CDN components like Cloudflare).\nStrong collaboration with editorial teams on caching expectations and publishing workflows; tuning TTLs and revalidation behavior.\n\nPrimary troubleshooting domains:\nCDN cache headers/revalidation, stale content windows.\nIngestion timing/field mapping issues across OVC/CVP/MPX into Contentstack.\nServerless endpoints/integrations for Insiders/Leadgen and related data paths.\nThe pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","datePosted":"2026-08-04T17:20:55.796Z","dateModified":"2026-08-04T17:20:55.796Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"de24915cd24259fec752df9b"},"url":"https://jobsearcher.com/jobs/de24915cd24259fec752df9b"}}