Senior Software Engineer- Java Springboot

Fluence Energy, Inc. (“Fluence”) (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. The Company's solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of projects successfully contracted, deployed, and under management across nearly 50 markets, the Company is transforming the way we power our world for a more sustainable future. 

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.