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2 Job openings at Softmantics Technology
About Softmantics Technology

Softmantics Technology specializes in advanced software solutions for businesses, focusing on optimizing operations and enhancing digital presence.

Full-Stack Developer (C# .NET / Python)

Not specified

3 - 7 years

INR 6.0 - 10.0 Lacs P.A.

Work from Office

Full Time

We are seeking a skilled Full-Stack Developer with expertise in C# .NET. This role requires hands-on experience in back-end and front-end development. We would also prefer the candidate to experience in Python Django and AWS Cloud. You will be working on dynamic cloud platform with global reach. Key Responsibilities: Develop, maintain, and optimize web applications using Python Django and C# .NET . Design and implement RESTful APIs and microservices architecture. Work with AWS Cloud Services (EC2, S3, RDS, Lambda, etc.) for deployment and scaling. Write efficient, reusable, and scalable code for both backend and frontend systems. Implement database solutions using PostgreSQL, MySQL, or MSSQL . Optimize application performance, security, and reliability. Collaborate with cross-functional teams, including designers and product managers. Troubleshoot, debug, and upgrade existing software. Integrate AI and machine learning models into web applications when necessary. Document technical specifications and best practices. Required Skills & Experience: Proficiency in C# .NET for full-stack development. Strong experience with Python AWS Cloud Services preferred. Knowledge of front-end technologies (HTML, CSS, JavaScript, React or Angular). Experience with SQL and NoSQL databases (MSSQL ,PostgreSQL, MySQL, , MongoDB). Understanding of RESTful APIs, authentication (OAuth, JWT), and microservices architecture . Familiarity with CI/CD pipelines is a plus. Strong problem-solving and debugging skills. Ability to work independently in a remote environment. Excellent communication skills and a collaborative mindset. Nice to Have: Experience in AI/ML integration into web applications. Knowledge of DevOps practices and infrastructure automation. Experience with serverless architectures using AWS Lambda. Job Details: Location: Fully Remote Employment Type: Full-time Salary: Competitive (based on experience)

AWS Cloud Developer (Cognito, API Gateway, Lambda)

Not specified

6 - 11 years

INR 9.0 - 13.0 Lacs P.A.

Work from Office

Full Time

As an AWS Cloud Developer , you will play a key role in designing, developing, and optimizing serverless applications and cloud-based solutions. You will be responsible for building and managing scalable and secure AWS infrastructure, focusing on authentication, API management, and backend logic. Key Responsibilities: Develop and manage AWS Cognito for user authentication, authorization, and identity management. Design and implement secure API Gateway solutions to connect services efficiently. Build, deploy, and optimize AWS Lambda functions using Python . Integrate serverless architectures with AWS services like DynamoDB, S3, SNS, SQS, and Step Functions . Implement OAuth2, JWT, and IAM policies for secure authentication. Troubleshoot, debug, and optimize AWS-based applications. Set up CI/CD pipelines for automated deployments. Monitor application performance and security using AWS tools (CloudWatch, X-Ray). Work closely with frontend and backend teams to ensure smooth API integration. Document best practices and technical solutions. Required Skills & Experience: Strong expertise in AWS Cognito, API Gateway, and Lambda (Python/JS). Experience with IAM roles, permissions, and security best practices in AWS. Proficiency in serverless architectures and event-driven programming . Hands-on experience with AWS DynamoDB, S3, SNS, SQS, and Step Functions . Familiarity with Infrastructure as Code (Terraform, CloudFormation, or CDK) . Knowledge of CI/CD pipelines for AWS deployments. Strong debugging and problem-solving skills. Experience working in a remote and collaborative environment . Nice to Have: Knowledge of containerization (Docker, AWS Fargate, ECS, EKS) . Understanding of machine learning workflows on AWS .

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