Senior Software Engineer

2 days ago


Coimbatore, Tamil Nadu, India Getinz Techno Services Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Senior Software Engineer- GNAF

Location: Coimbatore- Hybrid
Experience: 5 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 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.

Experience LevelSenior Level

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