Software Engineer

Job Title: Software Engineer

Location: Pune, India

Company Overview: Join one of the fastest-growing IT services companies, where innovation and cutting-edge technology drive our growth. We deliver scalable, data-driven solutions to global clients. Job Summary: We are seeking a highly skilled and experienced Software Engineer with Node JS, and DynamoDB. The ideal candidate will have a strong background in designing, developing, and maintaining complex applications, with a focus on backend development and data analytics. You will be responsible for writing optimized queries, ensuring high-performance applications, and integrating AWS services to support business logic and reporting needs.

Key Responsibilities:

• Develop and maintain robust web applications using Node.js, ensuring high performance and scalability.

• Optimize complex DynamoDB queries for efficient data retrieval, focusing on analytics and reporting requirements.

• Integrate AWS services (Lambda, SQS, S3) to enhance functionality, performance, and cloud based workflows.

• Collaborate with cross-functional teams to gather requirements, provide technical solutions, and deliver application enhancements.

• Monitor, troubleshoot, and optimize application performance, addressing bottlenecks and ensuring system reliability.

• Follow best practices for coding standards, unit testing, and documentation, while actively participating in code reviews for maintainability.

Skills and Qualifications:

• Bachelors degree in computer science, Information Technology, or a related field.

• 4+ years of relevant experience in application development, with a focus on backend and database optimization

• Expert in Node.js backend development, focusing on scalability and high performance.

• Proficient in DynamoDB, specializing in query optimization and data modeling for analytics.

• Hands-on experience with AWS services such as Lambda, SQS, and S3 for cloud-based application development.

• Strong skills in database design, NoSQL architecture, and performance tuning for large-scale datasets.

Working Conditions: This is a full-time position based in our office. The successful candidate will be required to work Monday through Friday during regular business hours. The office environment is professional, fast-paced, and dynamic, with a focus on teamwork and collaboration.