Job Title: SSE- Angular

Experience: 6-9 Years

Location: Chennai/ Hybrid

About the Company

Our client is a leading company in Fintech. They focus on building innovative solutions and are looking for talented professionals to join their team.

Role Overview

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, 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.

Eligibility / Qualifications
- Education: Bachelor’s/Master’s in Computer Science, Engineering, or related field

- Experience: 6–9 years

Other Details
- Notice Period: [30days]

- Work Type: [Full time]

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