Senior Embedded Software Developer improving FortiGate firewall TLS and UTM security features. Developing clean, secure code for Fortinet’s global cybersecurity product portfolio.
About the role
- Marketing Technology Engineer owning and evolving data platform with AI applications for e-learning solutions. Leading engineering efforts and collaborating with multiple teams to automate workflows.
Responsibilities
- Own and evolve our marketing data platform — a BigQuery data warehouse with dbt-based transformations — designing and maintaining ETL/ELT pipelines that connect diverse data sources and scale as our measurement needs grow.
- Design, build, and deploy applications and AI agents on Google Cloud — exposing backends for agentic use and lightweight frontends/UIs where needed — to automate marketing and product workflows.
- Develop AI-powered tools that let Marketing, Product, and other teams self-serve automation, and apply AI to automate data-engineering work itself.
- Uphold engineering best practices across an AI-assisted codebase: Git-based version control, code review, semantic versioning, automated testing, and CI/CD for clean, reproducible deployments. You are the quality gate that ensures AI-generated code is production-ready — not shipped as-is.
- Own data security and governance across the platform: least-privilege access (IAM), secret management, PII handling, BigQuery row/column-level security, and guardrails on AI systems that have access to data (e.g., against prompt injection and data exfiltration).
- Collaborate closely with Marketing, Finance, Sales, Marketing Operations, Data Analysts, and BI specialists to understand data and tooling needs, ensure data integrity, and resolve discrepancies through root-cause analysis.
- Shape the marketing technology and AI platform stack, aligning it with strategic priorities to maximize impact on business outcomes and growth.
- Assess and mitigate risks to delivery timelines, quality, stability, and performance, ensuring the reliability and robustness of our data and AI infrastructure.
- Serve as a subject-matter expert in data architecture, AI application engineering, and marketing technology — staying current through research, proofs of concept, and reusable frameworks that drive innovation and efficiency.
- Provide technical guidance and architectural expertise across initiatives, and take on other responsibilities as needed to support evolving business priorities.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of data engineering experience, with demonstrated breadth into software and/or AI application development.
- Strong software-engineering fundamentals: Git-based workflows, code review, automated testing, and CI/CD for clean, reproducible deploys.
- Hands-on experience deploying applications on Google Cloud (e.g., Cloud Run, Cloud Functions, or GKE), containerization (Docker), and infrastructure-as-code (e.g., Terraform).
- Experience building and deploying AI/LLM applications and agents (e.g., Vertex AI / Agent Builder, LangChain/LangGraph, or similar), API design (e.g., FastAPI), and evaluating AI system reliability.
- Expertise in SQL and Python, and proven experience designing and implementing ETL/ELT processes and pipelines (batch and streaming) and integrating with APIs.
- Required experience with BigQuery and dbt, and a solid understanding of data-warehouse modelling concepts.
- Working knowledge of data security and governance best practices: IAM/least-privilege, secret management, and handling of sensitive/PII data.
- Experience in cloud environments (GCP preferred; AWS/Azure an asset) and a passion for data- and AI-driven development.
- Excellent written and verbal communication skills.
- Familiarity with Fivetran and with marketing software categories — content management, CRM, experience management, email marketing, and tracking tools — is a plus.
- Familiarity with data visualization tools such as Power BI or Tableau is a plus.
Benefits
- Fully remote-first work with flexible work arrangements 🏡
- Comprehensive Health and Wellness Benefits including retirement savings programs, eligibility for two different bonus plans, generous time off, comprehensive medical and dental benefits based on your country of location 🧘
- New Hire Equipment Allowance and monthly Flex Allowance to support your success 📦
- Endless opportunity for career growth and internal mobility 🌱
- Employee driven DE&I programs 🫶
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