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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior, niche full-stack AI role in metro reduces competition despite the general Staff Software Engineer title.
Strong technical skills are transferable, though transportation SaaS domain experience is advantageous.
Strict 12+ years, specific tech stack, cloud and AI workflow requirements enforce rigid shortlisting.
Job Description
Structured overview of role & requirementsAbout This Role
Lead full software development lifecycle for scalable, cloud-native transportation management SaaS products with AI-assisted tools.
Architect and optimize front-end (React, TypeScript) and back-end (.NET, REST APIs) components ensuring performance and maintainability.
Drive AI-first development adoption, establish quality/code review frameworks, mentor engineers, and collaborate in agile teams for continuous deployment and system optimization.
Minimum Requirements
12+ years full-stack software engineering experience with focus on performance, security, scalability.
Proficiency in React, TypeScript, JavaScript, HTML, CSS, C#, .NET, .NET Core RESTful APIs.
Strong knowledge of Azure cloud infrastructure, cloud-native services, CI/CD pipelines, Docker, and SQL Server optimization.
Location: Chennai, India (Office-based). Work Experience Required: 12+ years as specified in JD.
Ideal Candidate Profile
Experienced in leading AI-enabled software development at scale, including prompt engineering and AI-assisted coding workflows.
Demonstrated ability to deliver high-throughput SaaS solutions in transportation, logistics, or supply chain domains preferred.
Comfortable working in a fast-paced, agile, globally distributed engineering environment with cross-functional collaboration.