Cloud Engineer

Litmos; Pune District; On-site; INR 2,200,000 - 2,800,000; Full time

Job summary

Litmos is seeking a Cloud Engineer to own and evolve our Microsoft Azure environment, migrating legacy VM workloads to cloud-native patterns and driving platform governance, security, and cost optimization across a globally distributed team.

You will manage SQL Server today, explore Postgres, and support data/AI platforms such as Synapse and Azure AI Foundry, while building automation with PowerShell and IaC with Bicep to improve CI/CD pipelines.

Qualifications

• Hands-on experience running production Azure infrastructure at a senior level.
• Strong IaC skills with Bicep; scripting in PowerShell; Python a plus.
• Experience with SQL Server in production; openness to Postgres.

Responsibilities

• Own and modernize the Azure platform across compute, storage, and networking.
• Migrate legacy VM workloads to cloud-native patterns and services.
• Administer SQL Server and support Postgres adoption; optimize Synapse/Azure AI Foundry workloads.
• Build and maintain IaC modules; automate with PowerShell/Python; improve CI/CD pipelines.

Skills

Azure infrastructure

PowerShell scripting

Python scripting

CI/CD pipelines

Security/compliance (GDPR)

Tools

Bicep

Terraform

Azure DevOps

Azure Monitor

Log Analytics

Application Insights

Job description

Are you looking for an opportunity to help solve one of today's 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, we're building the Learning Acceleration Platform that helps organizations build human capability faster—and we're 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 world's leading technology investment firms, we're investing in the future of learning—and the people who are building it. Learn more at www.litmos.com.

Cloud Engineer

About The Role

We're 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. You'll 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, you'll take ownership of our data platforms: SQL Server today, with Postgres on the horizon, plus Synapse and Azure AI Foundry. We're 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 isn't a follow-the-sun on-call role.

What You’ll Do

Own & Modernize the Platform

• 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.

Data & AI Platforms

• 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.

Automate & Deploy

• 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.

Secure & Comply

• 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).

Monitor, Harden & Optimize

• 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.

Salary Range

Salary Range: ₹22,00,000 to ₹28,00,000 plus 10% bonus

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.