Senior Full Stack Developer

We are looking for a strong Senior Full Stack Developer to join our core product engineering team.
This is a hands-on engineering role for someone who enjoys building modern enterprise applications, solving complex technical problems, and working across frontend, backend, APIs, databases, cloud services, and integrations.
You will work closely with architects, product stakeholders, and other engineers to design and deliver scalable product features and modules.
We are particularly interested in developers who have embraced modern AI-assisted software development tools and know how to use AI effectively to improve development speed, code quality, debugging, testing, and problem solving.
What You Will Do
Full Stack Product Development
Design, develop, test, and maintain enterprise-grade product features and modules.
Build modern web applications using TypeScript, Node.js, React, Next.js, and Tailwind CSS.
Develop and maintain backend services and enterprise applications using C# and .NET.
Build secure and scalable REST/JSON APIs and service integrations.
Translate functional and technical requirements into well-designed software solutions.
Participate in technical design discussions and contribute to architectural decisions.
Backend & Integration Development
Develop backend services, APIs, business logic, and integration components.
Integrate applications with internal platforms, third-party services, enterprise systems, and data sources.
Implement authentication, authorization, RBAC, and API security patterns.
Work with asynchronous processing, background jobs, APIs, and distributed application components.
Data & Database Engineering
Work with relational databases such as PostgreSQL, MySQL, and SQL Server.
Design schemas, queries, stored procedures, and data-access components where required.
Optimize database queries and application performance.
Work with caching or in-memory data stores where appropriate.
Support application-level data integration and basic ELT/data-processing workflows.
Cloud & DevOps
Develop and deploy applications in cloud environments such as Azure, AWS, or GCP.
Work with CI/CD pipelines and modern software deployment practices.
Troubleshoot applications running in Linux and cloud environments.
Contribute to application monitoring, logging, observability, and production troubleshooting.
Support releases and help resolve post-production issues.
AI-Assisted Engineering
Use tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI development assistants to accelerate development.
Apply AI tools appropriately for coding, debugging, refactoring, documentation, unit testing, and technical analysis.
Validate AI-generated code rather than relying on it blindly.
Explore opportunities to incorporate AI capabilities and AI agents into product workflows.
Continuously evaluate new development tools and engineering approaches that can improve team productivity.
Technology Ecosystem
Frontend
TypeScript
JavaScript
React
Next.js
Tailwind CSS
HTML/CSS
Backend
Node.js
C#
.NET / .NET Core
REST APIs
JSON
Microservices / service-based architectures
Databases
PostgreSQL
MySQL
SQL Server
In-memory or caching technologies
Cloud & DevOps
Azure, AWS, or GCP
Linux
Git
CI/CD
Docker / containerized applications
Application monitoring and logging
Security & Enterprise Integration
IAM / Identity Providers
Authentication and authorization
RBAC
API security
Enterprise system integrations
AI Development
Cursor
GitHub Copilot
Claude Code
ChatGPT or equivalent AI coding assistants
LLM/API integration exposure is an advantage
What We Are Looking For
Experience
5+ years of professional software development experience.
Strong hands-on experience building and supporting full stack applications.
Proven experience developing production applications using modern frontend and backend technologies.
Strong hands-on experience in JavaScript/TypeScript and React.
Good hands-on experience with Node.js.
Prior professional development experience with C# and .NET is strongly preferred.
Experience working with relational databases and SQL.
Experience deploying or supporting applications in at least one major cloud platform: Azure, AWS, or GCP.

Work arrangement
No