CloudOps Lead Engineer

Position Information Type: ContractPosition: CloudOps Lead EngineerLocation: Plano, TX (Onsite) Job Description:12+ Years of Experience RequiredWe 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.Required Skills & QualificationsTechnical SkillsHands-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 ExperiencePractical experience working with Large Language Models (LLMs).Familiarity with applying LLMs to engineering or operational workflows is required.Professional AttributesStrong 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 skillsKey ResponsibilitiesCloud Operations & DeploymentsSupport 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 & ScriptingDesign, 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 HealthImplement 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 UnderstandingDevelop 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 EnablementApply 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.