• Write and maintain backend code in Go • Support AI and machine learning initiatives • Design and refine prompts for large language models • Write and optimize SQL queries in support of data and application needs • Collaborate with team members and contribute to shared goals

• Design, develop, and maintain scalable full-stack applications and backend services • Build customer-facing features that improve user experience and product adoption • Develop APIs, integrations, and internal tools that support core business operations • Collaborate closely with product managers, designers, and engineers to deliver high-quality solutions • Improve system performance, reliability, scalability, and observability • Contribute to architecture discussions and long-term technical strategy • Own projects from concept and design through deployment and ongoing maintenance • Help define engineering standards, best practices, and development processes • Participate in code reviews and mentor other engineers where appropriate

• Act as a hands-on technical leader, contributing directly to the design, development, and delivery of critical platform capabilities. • Lead greenfield initiatives that introduce new AI platform capabilities, validating ideas through prototypes, building initial implementations, and evolving them into scalable platform services. • Partner with engineering teams across the organization to identify common problems and transform successful patterns into reusable platform capabilities. • Establish engineering patterns, reference implementations, and technical standards by building them first and helping teams adopt them. • Raise the effectiveness of senior engineers through mentorship, pairing, design guidance, code reviews, and technical coaching. • Collaborate with Product, Security, Infrastructure, and Architecture partners to align technical decisions with long-term platform strategy while maintaining a bias toward execution and delivery.

Role Description Join GoDaddy's Performance Marketing Team as a Senior Software Engineer for our Paid Media team to build the tools, systems, and automation that power our global marketing operations. - 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 and Meta services with internal systems, dashboards, and analytics tools - Leverage AI to accelerate development, automate insights, and solve complex problems - Collaborate with marketing professionals, data analysts, and collaborators to understand workflows and deliver tools that improve efficiency - Maintain and enhance existing automation library, troubleshooting bugs, improving performance, and ensuring reliability - Implement software engineering best practices including testing, code review, documentation, version control (GitHub), and CI/CD workflows - Research and evaluate new technologies to improve our stack, capabilities, or velocity - Ensure a “Shift Left” focus on security in system design and development Qualifications - 10+ years of proven experience in software engineering, with 5+ years using AWS - 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 - Programming languages: C# / Java or Python, along with SQL and Spark - Strong software fundamentals—data structures and algorithms, 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 - Proven track record to work with APIs, data pipelines, and system integrations in real-world enterprise environments - Ability to thrive in a fast-paced and dynamic environment, with a passion for technology and innovation - Designing and delivering scalable, production-quality software solutions - Having DevOps experience or equivalent experience is a plus, along with GitHub, GitHub Actions, and Docker - Excellent communication, interpersonal, and leadership skills Requirements - 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 Benefits - Paid time off - Retirement savings (e.g., 401k, pension schemes) - Bonus/incentive eligibility - Equity grants - Participation in our employee stock purchase plan - Competitive health benefits - Family-friendly benefits including parental leave