Senior Manager System Engineering

Location Details:

Colombia, remote.

Join Our Team

Join GoDaddy's Forge Ops team at the intersection of Data, Infrastructure, and AI-driven operations. As Senior Manager, Systems Engineering, you will lead the reliability, cost efficiency, and agentic operation of the Data & AI ecosystem that serves GoDaddy. This is a deeply technical leadership role, not a hands-off manager position. You will operate as GoDaddy's L1/L2 authority over critical analytics and data platforms while advancing Forge Operations: a structured operating model designed to transition platform operations from hero-based, expert-dependent support to system-based, agent-assisted, self-improving operations. If you can translate a business problem into a technical architecture and that architecture into team execution — and you want to build the AI Ops pattern for a large-scale data organization, this role is for you.

What you'll get to do...

• Own and operate GoDaddy's analytical and data intelligence platforms(Redshift, QuickSight, FeedDB, Protegrity, Alation) as the authoritative L1/L2 platform owner — driving reliability, deployment standards, cost optimization, and user enablement across an ecosystem with a 50PB+ data lake and thousands of consumers.
• Lead 24/7 incident management and production operations across 10+ Data & AI platforms, owning MTTR/MTTD targets, AAR rigor, and a root-cause-to-control loop that converts every incident into a runbook, monitoring improvement, or automation — not just a resolved ticket.
• Architect and advanced Forge Ops OS, the team's agent-based operating model. This model uses history-informed early warning, auto-recovery agents, runbook intelligence, and bounded agentic orchestration. The team transitions from operating systems to leading all aspects of agents that operate systems.
• Drive data platform cost efficiency through unit economics— cost per query, cost per workload, cost per dashboard visit — translating AWS spend into measurable business metrics and continuous optimization across Redshift, QuickSight, DPaaS, and ML infrastructure.
• Manage operational planning and executive reporting weekly, monthly, and quarterly. Run a sprint-based improvement program with a near 70% strategic allocation. Provide clear traceability from team execution to company goals and landmark outcomes.

Your experience should include...

• 5+ years validated 24/7 production operations leadership— leading incident response end-to-end, owning MTTR performance, leading post-mortems (AARs) that produce controls, and driving the systemic fixes that reduce incident recurrence.
• Hands-on AWS architecture/platform expertise — Redshift, EMR/Airflow, Lambda, EKS, S3, IAM/RBAC, and CDK/CloudFormation — with end-to-end operational and cost ownership of at least two production data or analytics platforms.