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Actian Himalayas · Posted today

Senior Full Stack Engineer

Full time Remote

Senior Full Stack Engineer Senior Full Stack Engineering Senior Full Stack Engineer (TypeScript Angular Node) Senior Full Stack Engineer (Java + DevOps)
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Indexed description

Role Overview

As a Senior Fullstack Engineer, you will help build and evolve the systems that power audience creation, segmentation, estimation, distribution, and conversion measurement across Fandango’s advertising technology ecosystem. This role will own features end-to-end, from Node.js Lambda APIs and PostgreSQL data models to the Angular frontend used by studio clients.

What You Will Do

Build and maintain end-to-end platform integrations, develop and evolve Lambda-based REST APIs, maintain and enhance server-side event pipelines, implement deletion, opt-out, and compliance-related data feeds, and deliver frontend features in Angular.

Why It Might Be a Fit

This role directly supports Fandango’s ability to help studio partners reach and understand audiences more effectively. Your work will enable new advertising platform integrations, strengthen customer analytics capabilities, and improve the reliability of critical audience and conversion workflows.

Requirements

  • Senior-level fullstack engineering experience
  • 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

Benefits

  • Good faith pay range
  • Health insurance
  • Retirement plans
  • Paid time off

Originally posted on Himalayas

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