Description
Enphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enphase Energy System enables users to make use save and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world with more than 80 million products shipped across 160 countries.
Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
This role at Enphase requires working onsite 3 days a week with plans to transition back to a full 5 day in office schedule over time.
What you will be doing
About the Role
Motivated Full-Stack Developer with 2 years of experience developing web applications using modern frontend and backend technologies. Passionate about building clean responsive user interfaces and working in collaborative Agile environments. Seeking opportunities to grow and contribute to innovative web-based platforms.
- Contributed to full-stack web application development using React and Python
- Designed and consumed RESTful APIs including AI-enabled services
- Designed built and integrated Generative AI features using AWS Bedrock into production applications
- Implemented LLM-powered workflows such as summarization intelligent search content generation and user assistance
- Applied prompt engineering techniques and iterative tuning to improve response quality and reliability
- Participated in code reviews and architecture discussions including AI-driven design decisions
- Assisted in performance optimization including latency and cost optimization for AI workloads
- Collaborated with QA and DevOps teams to deploy AI and non-AI services through CI/CD pipelines
- Wrote unit tests and followed version control best practices using Git
- Maintained documentation and tracked AI-related enhancements using JIRA and Confluence
Core Technical Skills
Frontend
Backend
- and/or Python
- RESTful and AI-backed APIs
Cloud & AI
- Amazon Web Services (AWS)
- Hands-on experience with Amazon Bedrock in production use cases
- Experience working with foundation models (e.g. Titan Claude)
- Strong understanding of prompt engineering model behavior and response evaluation
- Knowledge of AI security IAM-based access control and data privacy considerations
Databases
DevOps & Tooling
- Git GitHub / GitLab Postman
- CI/CD pipelines (Jenkins GitHub Actions or similar)
Methodologies
- Agile Scrum
- Test-Driven Development (TDD)
Professional Expectations
- Ability to apply Generative AI thoughtfully to solve real business problems
- Comfortable integrating AI services into existing enterprise applications
- Strong collaboration skills with product QA and DevOps teams
- Continuously learning and adapting to rapidly evolving GenAI technologies
Preferred Certifications
- AWS Certified Solutions Architect Associate
- AWS Certified Developer Associate
Required Experience:
IC
DescriptionEnphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enp...
Description
Enphase Energy is a global energy technology company and a leading provider of solar battery and electric vehicle charging products. Founded in 2006 our innovative microinverter technology revolutionized solar power making it a safer more reliable and scalable energy source. Today the Enphase Energy System enables users to make use save and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world with more than 80 million products shipped across 160 countries.
Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future!
This role at Enphase requires working onsite 3 days a week with plans to transition back to a full 5 day in office schedule over time.
What you will be doing
About the Role
Motivated Full-Stack Developer with 2 years of experience developing web applications using modern frontend and backend technologies. Passionate about building clean responsive user interfaces and working in collaborative Agile environments. Seeking opportunities to grow and contribute to innovative web-based platforms.
- Contributed to full-stack web application development using React and Python
- Designed and consumed RESTful APIs including AI-enabled services
- Designed built and integrated Generative AI features using AWS Bedrock into production applications
- Implemented LLM-powered workflows such as summarization intelligent search content generation and user assistance
- Applied prompt engineering techniques and iterative tuning to improve response quality and reliability
- Participated in code reviews and architecture discussions including AI-driven design decisions
- Assisted in performance optimization including latency and cost optimization for AI workloads
- Collaborated with QA and DevOps teams to deploy AI and non-AI services through CI/CD pipelines
- Wrote unit tests and followed version control best practices using Git
- Maintained documentation and tracked AI-related enhancements using JIRA and Confluence
Core Technical Skills
Frontend
Backend
- and/or Python
- RESTful and AI-backed APIs
Cloud & AI
- Amazon Web Services (AWS)
- Hands-on experience with Amazon Bedrock in production use cases
- Experience working with foundation models (e.g. Titan Claude)
- Strong understanding of prompt engineering model behavior and response evaluation
- Knowledge of AI security IAM-based access control and data privacy considerations
Databases
DevOps & Tooling
- Git GitHub / GitLab Postman
- CI/CD pipelines (Jenkins GitHub Actions or similar)
Methodologies
- Agile Scrum
- Test-Driven Development (TDD)
Professional Expectations
- Ability to apply Generative AI thoughtfully to solve real business problems
- Comfortable integrating AI services into existing enterprise applications
- Strong collaboration skills with product QA and DevOps teams
- Continuously learning and adapting to rapidly evolving GenAI technologies
Preferred Certifications
- AWS Certified Solutions Architect Associate
- AWS Certified Developer Associate
Required Experience:
IC
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