Senior Software Engineer (Java , Springboot ,In person Interview)

As a Senior Software Engineer, you will play a pivotal role in designing, developing, and maintaining robust AWS-based SaaS applications. This role involves creating high-performance systems with expertise in real-time data visualization, including charting capabilities. You will collaborate closely with data scientists, product managers, and subject matter experts to deliver innovative solutions.

Key Responsibilities:

1.Design & Development: Build scalable AWS SaaS applications using Kotlin, Java Spring Boot, Python, Docker Containers, and PostgresDB.

2.Real-Time Data Visualization: Develop systems to display real-time data using time-series databases and charting libraries.

3.Collaboration: Partner with data scientists, product managers, and subject matter experts to understand requirements and deliver solutions.

4.Code Management: Write clean, efficient code; develop prototypes; troubleshoot issues; and address performance bottlenecks.

5.Technical Leadership: Provide technical guidance and mentorship to the development team.

6.Design Discussions: Contribute to design discussions and offer valuable insights for making sound technical decisions.

7.Documentation: Define and document best practices, coding standards, and development methodologies.

Qualifications:

Must-Have Skills:

1.5+ years of hands-on experience with Kotlin, Java Spring Boot, Python, Docker Containers, and PostgresDB.

2.Proven expertise in developing SaaS applications on AWS with at least 5 years of experience.

3.Strong knowledge of real-time data visualization using time-series databases.

4.Proficiency in adhering to coding standards, static code analysis, and unit testing for high-quality code delivery.

5.Strong understanding of distributed systems and application performance tuning.

Nice-to-Have Skills:

1.Experience with JavaScript/TypeScript-based front-end development for data visualization.

2.Familiarity with CI/CD pipelines and DevOps practices.

3.Understanding of MLOps and DataOps workflows.

4.Strong grasp of data structures and algorithms.

5.Experience working in Ubuntu and Docker development environments.

Educational and Certification Requirements:

•A Bachelor’s degree in Computer Science or a related field is preferred.

•AWS certifications are highly desirable.