> Markdown version of [/jobs/ext/4674088-full-stack-developer](https://www.wearedevelopers.com/jobs/ext/4674088-full-stack-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Developer - **Company:** Skills, Inc. - **Location:** Culver City, CA, United States - **Salary:** $149,760 - $166,400 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Google AdWords, Amazon Web Services, Amazon S3, Cloud Computing, Databases, Continuous Integration, Data as a Services, Relational Databases, Database Design, DevOps, Django Web Framework, Middleware, Data Intelligence, Python (Programming Language), PostgreSQL, Node.Js, NoSQL, Systems Architecture, TypeScript, Web Applications, AWS Cdk, Load Balancing, ReactJS, Flask (Web Framework), Delivery Pipeline, Backend, Git, Fastapi, Build Management, Ripple (payment Protocol), Front End Software Development, Api Gateway, Restful APIs, Docker - **Published:** November 11, 2026 - **Apply:** https://diversityjobs.com/career/18891185/Full-Stack-Developer-California-Culver-City ## About the Role 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. ## Description 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).