Resumo da vaga

Senior Full Stack Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

What You'll Do:

  • Build and maintain end-to-end platform integrations, including Conversion API and Targeting Connector capabilities for new and existing advertising partners.
  • Develop and evolve Lambda-based REST APIs that support audience creation, segmentation, estimation, and distribution across multiple ad platforms.
  • Maintain and enhance server-side event pipelines that route purchase and engagement data to advertising platform conversion endpoints.
  • Implement deletion, opt-out, and compliance-related data feeds in alignment with privacy requirements such as GDPR and CCPA.
  • Deliver frontend features in Angular, NgRx, RxJS, and TypeScript for new channels, distribution flows, dashboards, and client-facing platform capabilities.
  • Contribute to infrastructure and delivery improvements using AWS, Terraform, Serverless Framework, Jenkins, Docker, and emerging GitHub Actions workflows.

What You Bring:

  • Senior-level fullstack engineering experience, with the ability to own technical design, implementation, testing, deployment, and production support.
  • Strong backend experience with Node.js, serverless Lambda APIs, asynchronous patterns, REST API design, and third-party API integrations.
  • Working experience with Python 3.x, including the ability to review, debug, or support ETL scripts, AWS Glue jobs, or related data workflows.
  • Deep familiarity with AWS services such as Lambda, Step Functions, API Gateway, S3, RDS/Aurora PostgreSQL, and Cognito.
  • Strong experience designing and optimizing PostgreSQL-backed data models, writing performant SQL, applying effective indexing strategies, and using Sequelize ORM to support reliable application workflows.
  • Experience building production-ready frontend features with Angular, TypeScript, NgRx, and RxJS, including integration with backend APIs and distributed data workflows.
  • Experience with Elasticsearch or OpenSearch, including query design, aggregations, and performance considerations.
  • Comfort working with infrastructure and CI/CD tools such as Terraform, Serverless Framework, Docker, Jenkins, Git, and GitHub Actions.
  • A practical understanding of AWS cost management, resource efficiency, and basic FinOps principles.
  • A collaborative engineering mindset grounded in Trust, with sound judgment, accountability, and care for production-quality work.
  • A commitment to Teamwork, including partnering with product, QA, data engineering, and other cross-functional stakeholders to deliver durable solutions.
  • Clear Transparency in technical communication, tradeoff discussions, documentation, and risk escalation.
  • Strong Agility, with the ability to adapt across backend, frontend, data, and infrastructure priorities in a lean engineering environment.
  • An Entrepreneurial Spirit, bringing ownership, curiosity, and initiative to ambiguous problems and new platform opportunities.

Bonus Points For:

  • Experience with GitHub Actions, AWS Secrets Manager, SSM, Cypress, or AWS data services including EMR, Glue, Redshift, or Spark.
  • Familiarity with maintaining or modernizing legacy deployment and infrastructure components, including Puppet-managed configuration, Apache httpd, SPA routing, or security header management.
  • Experience partnering with data engineering teams on ETL, ML pipeline, data tier, or production workflow issues.
  • Experience supporting ad tech, marketing technology, audience management, customer analytics, privacy workflows, or high-volume event pip
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