Senior Software Engineer-Java

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 be instrumental in designing, developing, and maintaining robust AWS SaaS applications. This role requires close collaboration with data scientists, product managers, and subject matter experts. Your key responsibilities include, but are not limited to:

Key Responsibilities:

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

2. Collaboration: Work closely with data scientists, product managers, and subject matter experts.

3. Code Management: Write code and tests, build prototypes, solve issues, and identify and resolve bottlenecks.

4. Design Discussions: Actively participate in design discussions and provide crucial input to guide technical decisions.

5. Documentation: Define and document best practices and methodologies.

6. Technical Leadership: Lead and mentor the development team on technical matters.

Qualifications:

Must-haves:

1. 5+ years of hands-on experience with Kotlin, Java Spring Boot, Python, Docker Containers, and PostgresDB.

2. At least 5 years of experience developing SaaS applications on AWS.

3. Proficiency in following coding standards and guidelines.

4. Expertise in static code analysis, unit testing, and other best practices to ensure high-quality code delivery.

5. Experience working with IoT time series databases.

Nice-to-haves:

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

2. Familiarity with CI/CD build pipelines.

3. Understanding of MLOps and DataOps.

4. Knowledge of data structures and algorithms.

5. Experience using Ubuntu as a development environment.

6. Familiarity with Docker and Ubuntu development environments.

Educational and Certification Requirements:

- Bachelor’s degree in computer science or a related field is preferred.

- AWS certifications will be considered an added advantage.