Full Stack Engineer

About the role

At Dawn Technologies is seeking a Full Stack Engineer with up to three years of experience to design and deliver cloud‑ready enterprise applications. You will work on end‑to‑end solutions that combine .NET Core, Python back‑ends and React.js front‑ends, supporting analytics, automation and AI‑driven insights for global customers.

Responsibilities

• Build production‑grade full‑stack applications using .NET Core, Python and React.js following engineering standards.
• Design and implement secure REST APIs, reusable micro‑services, and automation‑ready backend components.
• Collaborate with data analytics and RPA teams to embed analytics models, RPA workflows and AI capabilities into applications.
• Optimize SQL databases, write efficient queries, procedures and data models for analytics workloads.
• Transform proof‑of‑concepts into stable, scalable enterprise products.
• Participate in architecture reviews, UI/UX design discussions and performance tuning.
• Maintain high code quality, documentation, security practices and engineering governance.
• Support system modernization, automation enablement and data‑driven dashboard initiatives.
• Debug issues, perform root‑cause analysis and resolve blockers across development and UAT environments.
• Adopt CI/CD pipelines, Git branching strategies, containerization and cloud deployment best practices.

Eligibility

• Bachelor’s degree in Computer Science, Information Technology or a related field.
• 0‑3 years of hands‑on full‑stack development experience.
• Familiarity with cloud‑ready development and micro‑services architecture.
• Strong communication and teamwork skills for a multi‑site, global environment.
• Relevant certifications in .NET, Python, React or Cloud platforms are a plus.

Skills

• .NET Core / C#
• Python (Flask/Django/FastAPI)
• React.js, JavaScript, TypeScript
• SQL Server, PostgreSQL, MySQL and advanced SQL optimization
• REST API design and micro‑services
• Docker and container orchestration basics
• CI/CD pipeline implementation
• Integration with analytics, RPA and AI workflows

Benefits