Full Stack Developer

Overview

Partnering with Aquent, a global leader in talent solutions, you will join a world-class technology team where your work will directly empower teams and streamline operations. As a key engineering contributor, you will design and develop end-to-end data applications that transform complex data products into intuitive, highly accessible user interfaces. By building robust services and scalable cloud infrastructure, you will play a pivotal role in automating manual processes, driving operational efficiency, and establishing data trust across the organization.

• Location & Work Model: Culver City, CA (Hybrid: In-Office Tuesday/Wednesday/Thursday; Remote Monday/Friday)
• Working Hours: 6:30 am – 3:30 pm or 7:00 am – 4:00 pm PST
• Duration: through 11/16/2027 
• Max Hourly Pay Rate: $80.00/hour 
• Pay Comments:  W2, weekly pay, benefits, 401k w/ match
• Background screening required

About the Role

We are seeking an autonomous, hands-on Full Stack Developer to design and build end-to-end data applications within a global technology company’s external marketing solutions group. In this role, you will architect and engineer high-impact data automation products—spanning intuitive user interfaces, middleware services, and high-performance data-serving APIs—to drive efficiency and automation across external marketing and growth functions.

This position operates on a 70% hands-on coding and 30% solutions architecture model. You will own features from conception through cloud deployment within fast-paced 2-week sprints, operating with high autonomy and minimal supervision.

Core Products & Projects

You will contribute directly to three flagship marketing and data automation platforms:

• Ripple: An end-to-end marketing measurement and analytics data platform.

• Cascade: An ad trafficking engine designed to automate manual operational workflows.

• Agent Experience: A next-generation data intelligence platform empowering growth marketing.

Key Responsibilities

• Full-Stack Development: Build modern, responsive, and intuitive web applications using React, paired with scalable Node.js middleware/BFF (Backend-For-Frontend) layers.

• API & Data Services: Design, develop, and maintain robust RESTful data-serving APIs using Python (FastAPI preferred; Flask or Django).

• Solutions Architecture: Spend roughly 30% of your time designing system architecture, defining technical design patterns, and establishing clean data-serving structures.

• Cloud Infrastructure & DevOps: Provision, deploy, and maintain cloud infrastructure on AWS using Infrastructure as Code (AWS CDK), leveraging Docker containers on ECS, S3, API Gateway, and Application Load Balancers (ALB).

• Database Design: Architect and optimize relational database schemas (primarily PostgreSQL) alongside NoSQL solutions to serve complex data products.

• Autonomous Execution: Drive feature delivery end to end in 2-week sprint cycles with independent problem-solving and proactive research.

• Stakeholder Support: Serve as the primary engineering point of contact for technical support during business hours (PST).

Qualifications & Requirements

Must-Haves

• Frontend: Extensive production experience building responsive interfaces using React and modern TypeScript.

• Middleware: Hands-on experience developing middleware/BFF services with Node.js.

• Backend: Strong expertise designing RESTful APIs in Python using FastAPI, Flask, or Django.

• Databases: In-depth working knowledge of PostgreSQL and relational database design, with an understanding of NoSQL systems.

• Cloud & Infrastructure: Hands-on experience with AWS (S3, ECS, ECR, API Gateway, ALB) and Infrastructure as Code using AWS CDK.

• DevOps & Tooling: Solid grasp of Docker containerization, CI/CD automated build/deployment pipelines, and Git version control.

• Working Style: Self-starter mindset with proven ability to research, troubleshoot, and execute autonomously without daily micro-direction.

Nice-to-Haves

• Prior experience building marketing applications, ad-trafficking tools, or media attribution/measurement platforms.

• Background working in ad-tech companies (e.g., Google Ads, Meta, Amazon Ads) or high-growth digital marketing agencies.