Senior Software Development Engineer(Tech Lead)

This role is for a Software Development Engineer(Tech Lead) within GoDaddy’s engineering organization, focused on building scalable, fault-tolerant systems that power critical customer and platform experiences at massive scale.

Our team works on highly impactful engineering initiatives, including greenfield projects and open-ended problem spaces where engineers are expected to bring structure, technical leadership, and strong execution. The systems we build serve millions of users and require high standards around reliability, scalability, and operational excellence.

This is a role for engineers who thrive on solving hard technical problems, taking ownership from architecture through production, and influencing how teams design and build software. You will operate as a senior technical leader within the team—driving architectural decisions, mentoring engineers, and shaping engineering best practices across multiple applications and services.

The team strongly values innovation, continuous improvement, and practical adoption of emerging technologies, including AI-assisted development workflows and cloud-native engineering practices.

This is an opportunity to work on complex distributed systems, influence engineering direction, and help scale both technology and teams in a fast-moving, collaborative environment.

• Deliver high-quality production features and platform capabilities aligned with sprint commitments
• Design and build highly available, fault-tolerant distributed systems using AWS cloud services
• Architect and develop greenfield initiatives from the ground up, including ambiguous and exploratory projects
• Debug and resolve complex production issues across multiple services and systems
• Evaluate modern technologies and cloud services to improve platform scalability, reliability, and efficiency

• Lead technical design discussions for complex cross-service architectures and platform capabilities
• Drive architectural decisions balancing scalability, reliability, operational simplicity, and long-term maintainability
• Build systems with strong observability practices including monitoring, alerting, logging, and distributed tracing
• Identify and mitigate technical risks early in the development lifecycle

• Serve as a trusted technical leader and subject matter expert for complex engineering challenges
• Lead agile development practices including sprint planning, retrospectives, code reviews, and collaborative design sessions
• Mentor junior and mid-level engineers on system design, code quality, and engineering best practices
• Foster a culture of ownership, continuous learning, and engineering excellence across the team

• Drive adoption of AI-assisted engineering workflows across development, testing, and documentation processes
• Explore and implement AI/ML capabilities within engineering and product workflows
• Promote experimentation with modern technologies and emerging engineering practices

• 8+ years of software engineering experience building and operating large-scale, production-grade backend systems using Go, Python, or Node.js.
• Strong expertise in AWS cloud technologies (EKS, ECS, Fargate, Lambda, S3, SQS/SNS, RDS/Aurora, IAM), distributed systems, Infrastructure as Code (Terraform/CDK/CloudFormation), and observability tools (CloudWatch, Prometheus, Grafana, Datadog).
• Hands-on experience with scalable system design and database technologies including PostgreSQL/Aurora and MongoDB, with a focus on performance optimization, reliability, and high availability.
• Experience integrating AI/ML or LLM-powered capabilities into production systems, with a solid understanding of Agile/Scrum methodologies and continuous engineering process improvements.
• Demonstrated technical leadership with the ability to drive end-to-end project delivery, mentor engineers, and thrive in ambiguous, fast-paced environments.

• Frontend or full-stack experience with React
• Experience with performance and load testing tools such as k6, Locust, or JMeter
• Participation in technical communities through blogs, conference talks, or knowledge-sharing initiatives