Senior Software Engineer- GNAF

Location:  Coimbatore- Hybrid

  Experience:  4+ Years

  Employment Type:  Full-time

About the Role

     We are seeking a highly skilled  Senior Software Engineer – Full Stack  who is proficient in modern web technologies and passionate about building scalable, high-performance applications. The ideal candidate will have strong expertise in  C#, .NET Core, React/Angular, SQL, and CI/CD pipelines with JavaScript . Additionally, experience with  AI/ML frameworks  and  cloud platforms such as AWS  is highly desirable.

You will play a key role in designing, developing, and delivering innovative solutions, collaborating closely with cross-functional teams, and mentoring junior engineers.

Key Responsibilities

        Design, develop, and maintain  full-stack applications  using  C#, .NET Core, React/Angular, JavaScript, and SQL .

        Architect and implement  scalable, secure, and high-performing solutions  on  AWS cloud platforms .

        Integrate  AI/ML models  into business applications, leveraging frameworks and services for intelligent solutions.

        Build and manage  CI/CD pipelines  to ensure smooth deployment and continuous delivery.

        Collaborate with product managers, architects, and stakeholders to translate requirements into technical solutions.

        Conduct code reviews, enforce best practices, and mentor junior team members.

        Optimize applications for performance, scalability, and reliability.

        Stay updated with emerging technologies, especially in  cloud, AI/ML, and full-stack development .

Required Skills & Qualifications

Education:  Bachelor’s/Master’s in Computer Science, Engineering, or related field.

Technical Expertise:

      Strong proficiency in  C#, .NET Core .

      Frontend expertise in  React.js or Angular .

      Strong understanding of  JavaScript/TypeScript .

      Database development with  SQL Server / PostgreSQL / MySQL .

      Hands-on experience with  CI/CD tools  (Azure DevOps, Jenkins, GitHub Actions, etc.).

      Experience deploying and managing applications on  AWS (Lambda, ECS, S3, RDS, etc.) .

      Working knowledge of  AI/ML frameworks  (TensorFlow, PyTorch, Scikit-learn, AWS AI/ML services).

Soft Skills:

    Strong problem-solving and analytical skills.

    Excellent communication and collaboration abilities.

    Leadership qualities with the ability to mentor and guide teams.

Preferred Qualifications

     Experience with  containerization (Docker, Kubernetes) .

     Exposure to  microservices architecture .

     Familiarity with  Agile/Scrum methodologies .

     Certifications in  AWS, AI/ML, or Microsoft technologies  are a plus.