Fluence

Senior Software Engineer

Bengaluru, India Remote Hybrid
Python Docker JavaScript AWS Kotlin Java Spring
Description
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.

Fluence
Fluence
Energy Energy Storage Renewable Energy

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