Senior Software Development Engineer - Paid Media / SEM

GoDaddy's Performance Marketing Team is looking for a Senior Software Engineer for our Paid Media team to build the tools, systems, and automation that power our global marketing operations.

We've unlocked significant efficiency gains over the past few years by automating insights, workflows, and campaign execution. This process has improved consistency, hygiene, and our data-first approach.

Now, we’re taking it further by forming this new team. We’re building production-grade internal tools across search engine marketing, social media advertising, visual ads, and other media channels. We’re leveraging AI to accelerate decision-making, automate creative workflows, and surface insights faster than ever before. At the same time, we’re operating in a messy, real-world enterprise environment—integrating with APIs, working within security constraints, and solving ambiguous business problems through elegant software solutions.

This is a software engineering role first, with Paid Media as the domain. You'll write code, deploy to AWS, build data pipelines, create internal tools, and work closely with marketers, analysts, and product teams to turn complex requirements into reliable systems.

Beyond the core responsibilities, our team also regularly partners across the organization through cross-functional tiger teams. In these collaborations, we help solve complex, high-priority problems, unblock critical initiatives, and accelerate delivery where the business needs it most.

If you love solving problems with code, care about craft and maintainability, and want to see your work drive measurable business impact while we engage with our ~21 million customers, this is the role for you !

• →Build and maintain high-quality internal tools that automate workflows, campaign execution, and reporting across paid media channels (SEM, paid social, display, etc.)
• →Build and deploy data pipelines and integrations that connect marketing platforms such as Google advertising services and Meta's platforms with internal systems, dashboards, and analytics tools
• →Leverage AI wherever possible to accelerate development, automate insights, and solve complex problems—staying current with the latest AI innovations and applying them to real business challenges
• →Collaborate alongside marketing professionals, data specialists, and collaborators to understand their workflows, translate vague requirements into technical solutions, and deliver tools that genuinely improve how they work
• →Maintain and enhance existing automation library—including dashboards, scripts, and tools—troubleshooting bugs, improving performance, and ensuring reliability
• →Implement software engineering best practices including testing, code review, documentation, version control (GitHub), and CI/CD workflows
• →Work within enterprise constraints—navigating internal systems, access controls, security policies, and cross-team dependencies to ship working software
• →Research and evaluate new technologies that can improve our stack, capabilities, or velocity—proposing and prototyping solutions where appropriate

• Proven experience; 6+ years in software engineering
• Strong Python engineering experience developing production-quality internal tools, services, or automations
• Strong experience with AWS and experience with some (or all) of the following: Lambda and Step functions, API Gateway, Fargate, ECS, S3, SQS, SNS, MWAA, Kinesis, Firehose, DynamoDB, RDS, Athena, and Glue.
• Proven ability to work with APIs, data pipelines, and system integrations in real-world enterprise environments
• Strong software fundamentals—design, testing, debugging, maintainability, and version control
• Ability to translate vague business problems into working software and collaborate effectively across technical and non-technical stakeholders

• Bachelor's degree in computer science engineering, or related field (or equivalent practical experience)
• Experience in marketing, AdTech, or analytics domains (Google Ads, Meta, paid media)
• Familiarity with AI/LLM tools for development (Claude, Cursor, CoPilot, agentic frameworks) or building AI-powered features
• Experience with JavaScript, SQL, dashboards, or experimentation tools
• CI/CD and deployment workflow experience

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.