Senior Engineering Manager — AI-Driven Platform & Cloud Observability

Teradata Corporation (SE); United States; Hybrid; USD 170,000 - 210,000; Full time

Job summary

Teradata Corporation (SE) seeks a senior engineering leader to drive scalable data pipelines and observability in public clouds. You will mentor a high-performing team, own platform reliability, and partner with product, support, and operations to accelerate AI-powered innovations.

The role emphasizes architecture across AWS/Azure/GCP with a focus on distributed systems, telemetry, and proactive performance tuning in a dynamic, impact-driven environment.

Qualifications

• 10+ years of industry experience, including 2+ years in management.
• Demonstrated proficiency with AI technologies to drive innovation and efficiency.
• Strong programming skills and experience building distributed systems.
• Proven experience in product development and ownership of core platforms or user-facing features.
• Working experience with Docker, Kubernetes on cloud and on-premises.

Responsibilities

• Lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments (AWS, Azure, GCP).
• Manage and mentor a high-performing engineering team, ensuring delivery, team performance, quality, and on-time releases.
• Lead development of enterprise-grade services that are platform agnostic and scalable to handle high volumes of data.
• Champion the adoption and integration of AI technologies into engineering workflows and product development.
• Drive automation for process efficiencies across development, deployment, and operational workflows.
• Implement and optimize robust services for telemetry and observability for high availability, resiliency, and performance.
• Monitor, analyze, and optimize system performance; troubleshoot data flows and telemetry.

Skills

Java

Python

Go

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

OpenTelemetry

Prometheus

Grafana

Datadog

Splunk

Job description

Teradata Corporation (SE) seeks a senior engineering leader to drive scalable data pipelines and observability in public clouds. You will mentor a high-performing team, own platform reliability, and partner with product, support, and operations to accelerate AI-powered innovations.

The role emphasizes architecture across AWS/Azure/GCP with a focus on distributed systems, telemetry, and proactive performance tuning in a dynamic, impact-driven environment.