CloudOps Lead Engineer

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