CloudOps Lead Engineer
Location: Plano, TX
Position Overview
We are looking for a motivated, hands-on Cloud Operations Engineer to play a critical role in deploying, operating, and maintaining cloud-based products. This role is essential to ensuring smooth deployments, high system reliability, and strong operational performance across environments.
The ideal candidate brings a strong want-to-learn mindset, is eager to deeply understand the ecosystem and architecture, and demonstrates ownership, leadership, and the ability to drive initiatives independently.
Key Responsibilities
Cloud Operations & Deployments
- Support and manage cloud deployments to ensure reliable, repeatable, high-quality releases
- Own day-to-day cloud operational health including uptime, performance, and stability
- Work closely with engineering teams on product deployments and operational readiness
Automation & Scripting
- Design, develop, and maintain automation scripts to improve deployment quality, efficiency, and consistency
- Continuously enhance CI/CD and operational workflows through scripting and tooling
- Reduce manual effort and operational risk through an automation-first approach
Monitoring & System Health
- Implement and maintain monitoring, alerting, and logging to ensure system health and performance
- Proactively identify issues, perform root cause analysis, and drive permanent fixes
- Ensure systems are scalable, resilient, and performant
Architecture & Ecosystem
- Develop a deep understanding of the platform architecture, cloud ecosystem, and dependencies
- Contribute to operational best practices, standards, and continuous improvement initiatives
- Independently identify gaps and propose solutions
LLM & AI Enablement
- Apply Large Language Models to cloud operations use cases such as automation, observability, diagnostics, and operational intelligence
- Stay current with advancements in LLMs and AI-driven tooling, applying them pragmatically within the CloudOps domain
- Collaborate with engineering teams to integrate LLM-based capabilities into operational workflows
Required Skills & Qualifications
Technical
- Hands-on experience with Microsoft Azure
- Strong scripting skills (Python, Bash, PowerShell, or similar)
- Experience with deployment pipelines, automation, and monitoring tools
- Solid understanding of cloud infrastructure, networking, and application operations
LLM & AI
- Practical hands-on experience working with Large Language Models
- Familiarity with applying LLMs to engineering or operational workflows (required)
Professional Attributes
- Strong desire to learn and deeply understand complex systems
- Self-starter who takes ownership and drives initiatives independently
- Demonstrated leadership, accountability, and problem-solving mindset
- Strong collaboration and communication skills
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
