CloudOps Lead Engineer
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: CloudOps Lead Engineer
Location : Plano TX
Rate -$50 -52/hr. On W2
Job Overview:
Role Overview
We are looking for a motivated and hands-on Cloud Ops Engineer to join our team and play a critical role in deploying operating and maintaining our cloud-based products. This role is essential to ensuring smooth deployments high system reliability and strong operational performance across our environments.
The ideal candidate has a strong want-to-learn mindset is eager to deeply understand our 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 and high-quality releases.
- Own day-to-day cloud operational health including uptime performance and stability.
- Work closely with engineering teams to support 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 automation-first approaches.
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 Understanding
- Develop a deep understanding of the platform architecture cloud ecosystem and dependencies.
- Contribute to operational best practices standards and continuous improvement initiatives.
- Act as a self-starter who can independently identify gaps and propose solutions.
LLM & AI Enablement
- Apply Large Language Models (LLMs) in cloud operations use cases such as automation observability diagnostics or operational intelligence.
- Stay current with advancements in LLMs and AI-driven tooling and apply them pragmatically within the Cloud Ops domain.
- Collaborate with engineering teams to integrate LLM-based capabilities into operational workflows.
Required Skills & Qualifications
Technical Skills
- Hands-on experience with cloud platforms (Azure.
- Strong scripting skills (e.g. Python Bash PowerShell or similar).
- Experience with deployment pipelines automation and monitoring tools.
- Solid understanding of cloud infrastructure networking and application operations.
LLM & AI Experience
- Practical experience working with Large Language Models (LLMs).
- Familiarity with applying LLMs to engineering or operational workflows is required.
Professional Attributes
- Strong desire to learn and deeply understand complex systems.
- Self-starter with the ability to take ownership and drive initiatives independently.
- Demonstrates leadership accountability and problem-solving mindset.
- Strong collaboration and communication skills
