Benefits

Education

Master's degree

Full Job Description

Role Overview The Cloud R&D team at Enphase is seeking an experienced Senior Software Engineer who thrives in a multi-technology environment. Success in this role requires 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. 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. Why It Might Be a Fit 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. You will also champion best-in-class software engineering processes, including clean code principles, Test-Driven Development (TDD), monitoring, and performance benchmarking. Requirements 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. Benefits Competitive salary Equity Healthcare PTO Retirement plan Learning budget Parental leave Wellness programs Visa/relocation assistance Remote flexibility Stipends Bonus/commission Paid holidays

Skills and Technologies