Senior Fullstack Software Engineer
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Key details
- Location
- India
- Work style
- Onsite
- Level
- Senior
- Function
- Software engineering
- Focus area
- Full stack
- Posted
- 3w ago
Skills
About the role
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.
We are looking for a Senior Full Stack Engineer to build and evolve our platform using .NET, React, and SQL Server-based systems. You will work across services, APIs, and front-end systems with a focus on scalability, reliability, and maintainability.
You will operate within a globally distributed Agile team (Scrum and ShapeUp), where engineers own delivery, from design through deployment, while collaborating closely with Product and Technical Ownership.
Objectives of this Role
- Evaluate the existing platform and identify opportunities for service decomposition and modularization
- Design and implement microservices, APIs, and front-end components
- Establish reusable templates, SDKs, and service patterns to accelerate development
- Collaborate with Agentic LLMs (e.g., Claude) to improve code quality, documentation, and solution design—while maintaining ownership of final outputs
- Produce and maintain high-quality technical documentation (AI-assisted where appropriate)
- Partner with Product, UX, and other engineers to deliver high-quality features
- Ensure system reliability through thoughtful design, observability, and failure handling
AI-Driven Engineering Expectations
Engineers are expected to actively incorporate AI-assisted workflows into daily development, including design exploration, implementation, and code review (e.g., AI-assisted PR reviews). All outputs, regardless of origin, are owned and validated by the engineer.
Qualifications / Skills
- Strong hands-on experience with C#, React, and SQL Server
- Experience designing and building microservices and distributed systems
- Strong understanding of system design, scalability, and performance
- Experience working in Azure-based environments
- Ability to work effectively in Agile teams (Scrum and/or ShapeUp)
- Experience working in AI-assisted development workflows
- Strong collaboration skills in distributed teams
Education and Experience Requirements
- BS/BA in Computer Science or equivalent practical experience
- Proven experience working in microservice-based architectures
Daily and Monthly Responsibilities
- Own delivery from development through deployment, including CI/CD pipelines (Azure DevOps)
- Build and maintain services that support multiple product initiatives
- Collaborate with the database team to ensure data models, stored procedures, and queries are performant and scalable
- Implement logging, monitoring, and observability to detect and diagnose failures
- Contribute to deployment activities and support releases as needed
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