Software Developer-Fullstack

Verizon•Alpharetta, GA

4d•$81,000 - $155,000•Hybrid

About The Position

We are looking for an Engineer-Software Development, who will be responsible for designing, prototyping, and developing applications for the Marketing, AI Platform and Analytics integrating AI-driven initiatives into our core platforms to drive acquisition, retention and operational efficiency. This individual will have to work closely with various stakeholders including, but not limited to, Customer Marketing, Customer Strategy, Customer Reporting, and Analytics for technical design and development lifecycle with relentless execution to bring new marketing AI strategic initiatives and campaigns to life across the Value customer products. You will follow Agile methodologies to gather information from stakeholders, cross-functional teams, and subject matter experts to analyze business needs and document requirements, leveraging a modern, AI-assisted SDLC to accelerate the design, prototyping, development, and testing of various marketing and software programs. Partnering with businesses to identify requirements and determine the design and rapid prototyping of AI-driven marketing and operational systems. Developing rapid prototypes, platform designs, and testing frameworks to ensure alignment with business needs and requirements for Marketing AI Strategic Initiatives. Building robust data pipelines to access different systems and connect disparate data—ingesting, logically joining, and assembling datasets ready for marketing applications, reporting, data analytics, and AI modeling. Utilizing an AI-based Software Development Life Cycle (SDLC) to accelerate development, leveraging advanced tools like Cursor, Claude, and other AI coding assistants. Developing and building/testing platforms utilizing advanced prompt engineering, leveraging AI tools for complex problem-solving, and integrating marketing tools, insight generation platforms by developing a variety of AI agents. Developing, building, and testing final platforms to ensure seamless integration, high availability, and sustained performance across all marketing and analytics architectures. Design and implement a unified testing framework for intelligent data testing AI-driven CI/CD data pipelines, utilizing machine learning to automate quality checks, monitor for data anomalies and automation using Agentic AI.

Requirements

Bachelor’s degree or four or more years of work experience.
Four or more years of relevant work experience demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience using AI-based SDLC tools (e.g., Cursor, Claude, Antigravity) and functional design for marketing or technical projects.
Experience in one or more scripting or programming languages relevant to AI and marketing automation.
Experience with Python, API integrations, RESTful services, and AI orchestration frameworks.
Experience in creating rapid AI prototypes, system design and flow diagrams.
Experience in open source, microservices, and distributed computing technologies, such as NoSQL, Kafka, Cassandra and AWS/GCP services.

Nice To Haves

Experience in prompt engineering, AI-driven problem solving, and integrating large language models (LLMs) into functional business workflows.
Experience in accessing different enterprise systems, connecting disparate data sources, and performing advanced data analytics.
Good knowledge of modern marketing systems, tools, and MarTech architectures.
Experience in MarTech and Adtech technology stack with in-depth knowledge of the platform and tool used to drive the use case deliverables.
Experience in analytical tools for campaign management and measuring the effectiveness of the program.
Experience in data modeling, ETL development, and data warehousing connecting siloed data for marketing insights, and generating actionable analytics.
Proficiency in building/operating highly available systems for data extraction, ingestion, and processing using AI tools.
Knowledge of best practices for AI-augmented development methodologies, process re-engineering, process modeling, and strategic marketing platform development.
Knowledge of modern data platforms and databases, including GCP BigQuery, ODS, Cassandra and Snowflake.
Ability to participate in architectural discussions and influence technology (build vs buy) decisions by partnering with business and technology stakeholders.
Experience in using analytics and marketing platforms such as Quantummetrics, ContentSquare, Tealium.
Experience in Data, Identify and Audience Management solutions / platforms.

Responsibilities

Designing, prototyping, and developing applications for the Marketing, AI Platform and Analytics integrating AI-driven initiatives into our core platforms to drive acquisition, retention and operational efficiency.
Working closely with various stakeholders including, but not limited to, Customer Marketing, Customer Strategy, Customer Reporting, and Analytics for technical design and development lifecycle with relentless execution to bring new marketing AI strategic initiatives and campaigns to life across the Value customer products.
Following Agile methodologies to gather information from stakeholders, cross-functional teams, and subject matter experts to analyze business needs and document requirements, leveraging a modern, AI-assisted SDLC to accelerate the design, prototyping, development, and testing of various marketing and software programs.
Partnering with businesses to identify requirements and determine the design and rapid prototyping of AI-driven marketing and operational systems.
Developing rapid prototypes, platform designs, and testing frameworks to ensure alignment with business needs and requirements for Marketing AI Strategic Initiatives.
Building robust data pipelines to access different systems and connect disparate data—ingesting, logically joining, and assembling datasets ready for marketing applications, reporting, data analytics, and AI modeling.
Utilizing an AI-based Software Development Life Cycle (SDLC) to accelerate development, leveraging advanced tools like Cursor, Claude, and other AI coding assistants.
Developing and building/testing platforms utilizing advanced prompt engineering, leveraging AI tools for complex problem-solving, and integrating marketing tools, insight generation platforms by developing a variety of AI agents.
Developing, building, and testing final platforms to ensure seamless integration, high availability, and sustained performance across all marketing and analytics architectures.
Design and implement a unified testing framework for intelligent data testing AI-driven CI/CD data pipelines, utilizing machine learning to automate quality checks, monitor for data anomalies and automation using Agentic AI.