Lead Cloud Engineer

Are you looking for an opportunity to contribute to a high-energy, dynamic, and fast-paced organization? Are you interested in joining a team where you can contribute to building the fun, people-centric culture and brand? Then you're in the right place!

Litmos develops eLearning solutions for top-performing companies. An established leader in the market since 2007, Litmos solutions include an easy-to-use LMS platform, a comprehensive learning content library, services to support success, and integrations with top workflow tools. Thousands of companies trust Litmos to create, curate, and connect learning to employees, customers, and partners. The solutions are used by more than 30 million people in 150 countries, across 35 languages.

We are seeking a Lead Cloud Platform Engineer to be the technical authority responsible for the architecture, reliability, and evolution of our cloud platform. This role drives infrastructure modernization, automation, and operational excellence across our global SaaS environment while mentoring engineers and partnering closely with the CTO and engineering leadership.

We are primarily an Azure-based environment with some cloud systems operating in AWS. A key focus for this role is to guide the strategic evolution and consolidation of our cloud infrastructure, ensuring we remain stable while simplifying architecture. This is a hands-on leadership role which allows someone to explore their innate curiosity to solve complex challenges and improve engineering systems. They will mentor cloud and database engineers while shaping the long-term evolution of our SaaS platform.

What You'll Do

• Define and evolve the architecture of the cloud platform on Microsoft Azure.
• Own the technical roadmap for the cloud platform and guide modernization initiatives.
• Serve as the senior technical escalation point for complex infrastructure and production issues.
• Build and maintain infrastructure using Infrastructure-as-Code (Bicep preferred, ARM, or Terraform).
• Define reusable platform patterns and infrastructure modules that enable product teams to deploy safely and efficiently.
• Improve CI/CD pipelines, deployment automation, and operational consistency across environments.
• Establish reliability practices including observability, monitoring, alerting, SLOs, and incident response.
• Design highly available systems capable of supporting global SaaS workloads.
• Lead cloud cost optimization initiatives and provide FinOps leadership across the organization.
• Implement tooling and reporting that provide transparency into infrastructure usage and cost drivers.
• Partner with engineering, product, and security teams to ensure infrastructure meets scalability, security, and compliance requirements.
• Mentor engineers and help develop strong cloud engineering capabilities across the organization.
• Leverage AI-assisted engineering tools to accelerate infrastructure automation, operational insights, and system optimization.

Required Qualifications

• 7+ years of experience in cloud engineering, platform engineering, or DevOps roles with increasing technical responsibility.
• Experience operating production infrastructure for SaaS platforms.
• Strong expertise with Microsoft Azure infrastructure and architecture.
• Experience working with Infrastructure-as-Code tools such as Bicep, ARM templates, or Terraform.
• Strong scripting or programming skills in PowerShell, Python, C#, or similar languages.
• Experience designing and operating highly available distributed systems.
• Ability to lead technically while remaining hands-on with infrastructure and automation.
• Strong collaboration and communication skills.

Preferred Qualifications

• Azure certifications such as AZ-104 (Azure Administrator) or AZ-305 (Azure Solutions Architect).
• Experience with Azure Kubernetes Service (AKS) and containerized workloads.
• Experience working across multiple public cloud providers (Azure and AWS).
• Experience planning or executing cloud migration or platform modernization initiatives.
• Familiarity with SRE practices and modern observability platforms.
• Experience leveraging AI-assisted engineering tools and emerging AI-driven operational platforms.

Salary: 80,000 - 100,000 base plus 15% bonus.

As a learning company we believe in the potential of everyone; if you don't have experience in all the details mentioned in this job post, then we still encourage you to apply and we'll get back to you as soon as we can.

We are an equal opportunity workplace employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. Applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.