Senior AWS/Cloud Full Stack Engineer

KMM Technologies•Reston, VA

4d•Hybrid

About The Position

We are seeking a Senior AWS/Cloud Full Stack Engineer to join our team. This role involves working with modern frontend and backend technologies, cloud platforms, and emerging technologies like Generative AI. The ideal candidate will have a strong understanding of software engineering principles, leadership capabilities, and excellent communication skills to collaborate with cross-functional teams.

Requirements

Proficiency in modern frontend frameworks (React, Angular).
Strong understanding of HTML, CSS, JavaScript/TypeScript.
Experience with server-side technologies (Node.js, Python, Java/Spring Boot).
Strong skills in relational databases (PostgreSQL, MySQL).
Familiarity with NoSQL databases (DocumentDB/MongoDB).
Expertise in building and consuming RESTful and GraphQL APIs.
Experience with AWS cloud platform.
Experience with CI/CD pipelines.
Experience with containerization (Docker, Kubernetes).
Experience with infrastructure-as-code tools.
Exposure to Generative AI technologies.
Familiarity with integrating LLMs (OpenAI, Anthropic).
Understanding of prompt engineering, model fine-tuning, or building GenAI-powered features.
Understanding of ethical considerations and responsible AI practices.
Strong understanding of software design principles, architecture patterns, and system scalability.
Experience with automated testing frameworks and TDD.
Familiarity with version control systems (Git).
Familiarity with agile development methodologies.
Proven ability to lead technical initiatives.
Proven ability to mentor junior developers.
Strong communication skills.
Ability to collaborate effectively with cross-functional teams.
Ability to translate business requirements into scalable technical solutions.

Responsibilities

Develop and maintain frontend applications using frameworks like React or Angular.
Build and manage backend services using Node.js, Python, or Java (Spring Boot).
Design and implement APIs (RESTful and GraphQL).
Manage relational and NoSQL databases.
Utilize AWS cloud platform for deployment and management.
Implement CI/CD pipelines and containerization (Docker, Kubernetes).
Apply infrastructure-as-code principles.
Integrate Generative AI technologies, including LLMs, into applications.
Develop GenAI-powered features such as chatbots or summarization tools.
Ensure ethical considerations and responsible AI practices in GenAI implementations.
Apply software design principles, architecture patterns, and ensure system scalability.
Implement automated testing frameworks and TDD.
Utilize version control systems (Git) and agile methodologies.
Lead technical initiatives and mentor junior developers.
Collaborate effectively with Product, UX, and QA teams.
Translate business requirements into scalable technical solutions.