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Software Engineer, eCommerce System

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Onsite

Software Engineer, eCommerce System

CORSAIR

Software Engineer, eCommerce System

Skills

SQL QueriesData EngineeringE-commerce WebsitesMobile DevelopmentShopifyTypescriptPythonJavaC#MicroservicesSnowflakeData AnalysisAIAWSCRMSEMrushSalesforceGoogle Tag ManagerSalesforce Marketing CloudGoogle AnalyticsJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Ho Chi Minh City, Vietnam

Work mode:

Onsite

Published on:

18 August 2026

What they need


Position Summary, Responsibilities and Expectations:

  • Design, develop, and maintain Corsair's Marketing Technology ecosystem, enabling personalized customer experiences across web, email, mobile, and digital channels.
  • Implement and support Customer Data Platforms (CDPs) such as Segment, mParticle, Twilio Engage, or similar solutions to unify customer data and power real-time personalization.
  • Design and implement end-to-end customer data flows across GA4, CRM, Braze, SEO platforms, eCommerce systems, and data warehouses.
  • Develop APIs, integrations, and event-driven services connecting marketing platforms, customer data, analytics, and business applications.
  • Design and maintain customer event tracking, data schemas, event taxonomies, consent management, and identity resolution across web and mobile applications.
  • Build and optimize Google Analytics 4 (GA4), Google Tag Manager, server-side tagging, attribution models, and custom event implementations aligned with business KPIs.
  • Develop and support marketing automation solutions using Braze, CRM platforms, and customer journey orchestration tools to enable advanced segmentation, lifecycle campaigns, A/B testing, and multi-channel engagement.
  • Integrate SEO technologies, search analytics, and web performance tools to improve organic search visibility and website performance.
  • Collaborate with Data Engineering to ensure scalable, governed, and compliant customer data pipelines supporting marketing analytics and personalization.
  • Develop software components, APIs, automation, and reusable services that extend and integrate the MarTech ecosystem.
  • Evaluate emerging MarTech platforms, AI technologies, and customer engagement tools to continuously modernize the marketing technology stack.
  • Troubleshoot platform issues, optimize performance, and ensure high availability, scalability, and security of MarTech applications.

Essential Skills and Experience:

  • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or equivalent experience.
  • 7-10+ years of experience in Marketing Technology, Digital Engineering, or Software Engineering supporting digital marketing platforms.
  • Hands-on experience implementing Customer Data Platforms such as Segment, mParticle, Twilio Engage, or similar.
  • Strong experience with Google Analytics 4 (GA4), Google Tag Manager, server-side tagging, and digital analytics implementation.
  • Experience implementing marketing automation platforms such as Braze, Iterable, Salesforce Marketing Cloud, Adobe Journey Optimizer, or similar.
  • Experience integrating CRM, CDP, analytics, personalization, and customer engagement platforms using APIs and event-driven architectures.
  • Strong programming experience with JavaScript/TypeScript, Python, Java, C#, or similar languages.
  • Experience building REST APIs, webhooks, microservices, and cloud-native integrations.
  • Solid understanding of customer identity, event collection, attribution, consent management, and privacy regulations (GDPR, CCPA).
  • Experience with SQL, cloud platforms (AWS preferred), CI/CD, Git, and Agile software development.
  • Experience with Shopify or other enterprise eCommerce platforms.
  • Experience with Salesforce CRM or Microsoft Dynamics.
  • Experience with Snowflake, BigQuery, Redshift, or other modern data warehouse technologies.
  • Experience with Reverse ETL platforms.
  • Knowledge of SEO technologies including SEMrush, Screaming Frog, Google Search Console, and Core Web Vitals.
  • Experience with personalization, recommendation engines, experimentation, and A/B testing platforms.
  • Fluent English, both in written and speaking.

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