Senior Software Engineer chez None

This role is for one of Weekday’s clients
Salary range: Rs 1500000 - Rs 2000000 (ie INR 15-20 LPA)
Min Experience: 4 years
Location: Coimbatore, Palakkad, Tiruppur, Namakkal, Perundurai, Gopichettypalayam, Kankeyam, Trichy, Madurai
JobType: full-time

Requirements

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:
Must-Have:

• 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).

Good-to-Have:

• 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.