Senior Engineer, Software (Full stack)

Enphase Energy, Inc.; India; Hybrid; INR 3,000,000 - 4,600,000; Full time

Job summary

Enphase Energy, Inc. seeks a Senior Software Engineer to design and implement cloud-native applications in a multi-technology environment, spanning IoT, data processing, and web services.

You will work across microservices, batch jobs, and AWS-based deployments, leveraging Docker/Kubernetes and AI-assisted tools. We value hands-on expertise with AI-driven development, strong SOLID principles, and collaboration with Product, Analytics, and DevOps to deliver scalable solutions powering Enphase

Qualifications

• Master’s degree in IS/CS/EC with 6+ years of experience, or a B.Tech in IS/CS/EC with 8+ years.
• Strong programming in Java (Spring Framework, Spring Boot) and Python (FastAPI, Django) or any combination.
• High proficiency in modern code editors/IDEs and AI-assisted plugins to maximize productivity.
• Experience with AI-driven development workflows, including automated code review and AI-assisted security scanning.
• Deep understanding of Microservices, Docker, and Kubernetes for cloud/on-prem deployments.
• Experience with AWS services and data ecosystems (Spark, Kafka, Cassandra, MongoDB, Elasticsearch).
• Excellent understanding of HTTP, MQTT, PKI, OAuth, SAML; strong SOLID principles.
• Strong communication and ability to present technical ideas to stakeholders.
• Hands-on with LLMs/AI APIs (OpenAI, Gemini, Claude) and RAG pipelines.

Responsibilities

• Design and implement scalable, reliable, and secure applications and services across microservices, batch jobs, web apps, data processing, and IoT integration.
• Deliver distributed platforms using Open Source, Data, and Cloud tech, with a focus on AWS.
• Leverage AI-assisted workflows to accelerate prototyping, testing, and code refactoring.
• Champion clean code, TDD, monitoring, and performance benchmarking.
• Lead productization of projects using open-source tools with high availability for millions of requests daily.
• Collaborate with DevOps to optimize CI/CD pipelines and cloud-native scalability.
• Maintain Git-based version control and branching strategies.
• Share knowledge through blogs, docs, and stakeholder presentations.

Skills

Java

Python

Microservices

AWS

Docker

Kubernetes

AI tools

CI/CD

Security concepts

SOLID design

LLMs integration

Education

Master’s degree in IS/CS/EC

B.Tech in IS/CS/EC

Tools

VS Code

IntelliJ IDEA

PyCharm

Devin

Claude Code

Cursor

Job 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 onsite3 days a week, with plans to transition back to a full 5 day in office schedule over time.

About the role:

TheCloud R&D team at Enphase nurtures cutting-edge technologies, working closely with various business units to integrate them seamlessly across our product portfolio. We are actively expanding our Cloud R&D organization and seeking an experienced Senior Software Engineer who thrives in a multi-technology environment. Success in this role requires both breadth and depth across IoT, Cloud, and Mobile domains, alongside hands‑on expertise in multiple programming languages. You will contribute to the architecture, design, and implementation of high‑performing, maintainable cloud and web applications, leveraging modern AI‑assisted engineering tools to accelerate development and elevate code quality. You will partner with Product Managers, Analysts, and Architects to drive concepts from prototype to launch, ensuring that technology upgrades and architecture migrations are strategically planned and executed.

What you will do:

• Design and implement scalable, reliable, and secure applications and services across microservices, batch jobs, web applications, data processing, and IoT device integration.
• Deliver distributed computing platforms utilizing Open Source, Data, and Cloud technologies, with a strong focus on AWS.
• Leverage AI‑assisted software engineering workflows (e.g., GitHub Copilot, Cursor, Devin, Claude Code ChatGPT) to accelerate prototyping, automate testing, and optimize code refactoring.
• Champion best-in-class software engineering processes, including clean code principles, Test‑Driven Development (TDD), monitoring, and performance benchmarking.
• Lead the productization of assigned projects utilizing various open‑source tools, ensuring high availability for features handling millions of requests daily.
• Collaborate with DevOps teams to provide deep insights into the scalability of cloud‑native technologies and streamline CI/CD pipelines.
• Maintain rigorous version control and branching strategies utilizing Git.
• Contribute to internal knowledge sharing through technical blogs, documentation, and stakeholder presentations.

Who you are and what you bring:

• Master’s degree (IS, CS, E&C) with 6+ years of experience, or a B.Tech (IS, CS, E&C) with 8+ years of experience from a reputed institute.
• Robust programming expertise in Java (Spring Framework, Spring Boot), Python (FastAPI, Django) or any combination of programming languages.
• High proficiency in modern code editors and IDEs (e.g., VS Code, IntelliJ IDEA, PyCharm, Devin, Claude Code, Cursor) and experience integrating AI‑assistive plugins to maximize developer productivity.
• Practical experience utilizing AI‑driven development workflows, including automated code review tools, AI‑assisted security vulnerability scanning, and intelligent CI/CD pipeline optimizations.
• Deep understanding of Microservices and event‑driven architectures, Docker containers, and Kubernetes for both cloud and on‑premises deployment models.
• Hands‑on experience with modern data ecosystems and databases, including Apache Spark, Kafka, Pulsar, HDFS, Apache Airflow, Cassandra, MongoDB, Elasticsearch, and time‑series databases.
• Proven track record working with a variety of AWS services.
• Excellent understanding of core protocols and security concepts such as HTTP, MQTT, SSL, Public Key Infrastructure (PKI), OAuth, and SAML.
• Strong working knowledge of design patterns and SOLID principles, coupled with a deep understanding of monitoring and logging tools.
• Strong understanding of prompt engineering principles to effectively collaborate with AI coding assistants, ensuring the generated code aligns with enterprise architecture and security standards.
• Exceptional presentation and communication skills, with the ability to persuade and clearly articulate technical ideas to diverse stakeholders.
• Hands‑on experience integrating Large Language Models (LLMs) and AI APIs (e.g., OpenAI, Gemini, Claude) into enterprise‑scale cloud applications.
• Familiarity with building Retrieval‑Augmented Generation (RAG) pipelines, interacting with vector databases, or deploying machine learning models in a cloud‑native ecosystem.