Cloud Engineer

Job Summary

Are you looking for an opportunity to help solve one of todays biggest business challenges AI is changing the pace of business, and organizations everywhere are struggling to help their workforce, partners, and customers keep up. At Litmos, were building the Learning Acceleration Platform that helps organizations build human capability faster-and were looking for people who are passionate about making a meaningful impact for customers while growing alongside a collaborative, people-first team.

Litmos is the Learning Acceleration Platform that helps organizations build capability faster, adapt at the speed business changes, and scale learning to anyone, anywhere. Combining an intuitive platform, AI-powered capabilities, trusted content, expert services, and a broad ecosystem of integrations, Litmos helps organizations accelerate workforce productivity, improve customer adoption and retention, enable high-performing partners, and reduce organizational risk through continuous learning.

Organizations such as Hewlett Packard Enterprise, Graco, Sabre, and Russell Mineral Equipment trust Litmos to accelerate learning across their workforce, partners, and customers. Today, more than 11K customers with 30 million learners across 150 countries and 37 languages use Litmos to build the capabilities their organizations need to succeed. Backed by Francisco Partners, one of the worlds leading technology investment firms, were investing in the future of learning-and the people who are building it.

About the Role

Were looking for a Cloud Engineer to own and evolve our Microsoft Azure environment - from core infrastructure to the data and AI platforms built on top of it. Youll drive our shift from legacy VM-based infrastructure to modern, cloud-native architecture, using Infrastructure as Code (Bicep) and automation (PowerShell) as your default tools rather than manual work. Beyond infrastructure, youll take ownership of our data platforms: SQL Server today, with Postgres on the horizon, plus Synapse and Azure AI Foundry. Were a global company operating under GDPR and other regional security standards, with team members across the US and Australia - so some flexibility in your working hours is expected to keep overlap with both regions, though this isnt a follow-the-sun on-call role.

What You'll Do

• Run day-to-day operations across Azure compute, storage, and platform services, and own governance, access controls, and cost/performance tuning.
• Lead migration of legacy VM-based workloads to cloud-native patterns (containers, managed services, serverless), and shape the broader cloud architecture roadmap.
• Administer SQL Server in production, with growing responsibility for Postgres as we adopt it.
• Support and optimize Synapse workloads and Azure AI Foundry deployments, partnering with data and ML teams on platform needs.
• Build and maintain Infrastructure as Code in Bicep (Terraform experience a plus), with reusable modules for common patterns.
• Write PowerShell/Python automation to eliminate manual operational work, and improve CI/CD pipelines (Azure DevOps or equivalent) alongside software engineering teams.
• Design and maintain Azure networking (VNets, NSGs, firewalls, hybrid/private connectivity) and apply security hardening in partnership with the security team.
• Ensure infrastructure and data handling meet GDPR and other applicable regional security and regulatory standards; support audits and governance frameworks (Azure Policy, Defender for Cloud).
• Strengthen observability (Azure Monitor, Log Analytics, Application Insights) and build resilience through redundancy, auto-scaling, and tested backup/DR plans.
• Track cloud spend and drive cost-optimization (rightsizing, reserved capacity) without compromising reliability.

What You Bring

• Solid, hands-on experience running production Azure infrastructure - compute, storage, and networking - at a senior level.
• Strong Infrastructure as Code skills, ideally with Bicep, plus scripting fluency in PowerShell (Python a plus).
• Experience administering SQL Server in production; openness to picking up Postgres.
• Some exposure to Synapse, Azure AI Foundry, or comparable data/AI platforms - or a clear ability to ramp up quickly.
• Working knowledge of network security and compliance frameworks, including GDPR.
• Comfort collaborating across a distributed US/AU team, with flexibility to shift working hours for overlap when needed.

Nice to Have

• Azure certifications (AZ-104, AZ-305, AZ-700).
• Experience with containers (Docker, AKS) or multi-cloud environments (AWS, GCP).
• Background in SRE practices or large-scale Azure migrations.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.