Associate Software Engineer (Intern)

Namely; Mountain View (CA); On-site; USD 27,552 - 55,104; Part time

Job summary

Namely in Mountain View, CA, seeks a Software Engineering Intern to grow across cloud-based applications—from frontend interfaces to modern backend services and microservices. You’ll work with .NET Core, C#, React, AWS, and AI technologies to build AI-enabled features and LLM-based solutions while learning the full software development lifecycle.

The role emphasizes strong programming fundamentals, SQL basics, and a curiosity for emerging AI technologies in modern software development.

Qualifications

• Basic programming knowledge in Java, Python, C#, or another object‑oriented language.
• Good understanding of relational databases and SQL; data modeling.
• Familiarity with OOP principles; SOLID and KISS are a plus.
• Knowledge of React.js and front‑end tech (HTML, CSS, JavaScript/TypeScript).
• Awareness of secure coding, performance, and AI concepts (Generative AI/LLMs).

Responsibilities

• Collaborate with Development, QA, and Operations to deliver projects.
• Design, develop, and maintain full-stack apps using .NET Core, React, SQL/NoSQL on AWS.
• Assist in API development and testing under senior engineers.
• Write clean, scalable front-end and back-end code.
• Participate in Agile ceremonies and design reviews.
• Contribute to code reviews, unit testing, and deployments.
• Help monitor, debug, and improve performance, security, reliability.
• Assist in root-cause analysis and issue troubleshooting.
• Collaborate with cross-functional teams including IT security and release management.
• Develop AI-powered features and intelligent user experiences.

Skills

Java

Python

C#

SQL

OOP principles

React.js

TypeScript

Problem-solving

Communication

Analytical thinking

Tools

Git

Bitbucket

AWS

CI/CD

Docker

Azure

GCP

Job description

Position Overview

We are seeking a passionate and motivated Software Engineering Intern who is eager to grow their expertise in building cloud-based applications—from developing front-end interfaces to modern backend services and microservice-based applications. As a key member of our dynamic development team, you will help build innovative web applications and intelligent features powered by modern .NET Core, C#, React, AWS, and AI technologies. You will have opportunities to work on AI-enabled solutions, including Generative AI and Large Language Model (LLM)-based applications, while developing expertise across the full software development lifecycle. The ideal candidate will possess strong programming fundamentals, a good understanding of SQL databases, and an interest in applying emerging AI technologies, including Generative AI and LLM-based capabilities, to modern software solutions.

Responsibilities

• Work closely with Development, QA, and Operations teams to ensure successful project delivery.
• Communicate effectively to understand project requirements and provide timely updates.
• Assist in designing, developing, and maintaining full-stack applications using .NET (Core/Framework), React.js, and SQL/NoSQL databases on the AWS cloud platform.
• Collaborate with senior engineers, product managers, and designers to understand requirements and implement solutions.
• Assist in developing and testing APIs and software components under the guidance of senior engineers.
• Write clean, maintainable, and scalable front-end and back-end code under guidance.
• Participate in agile ceremonies such as sprint planning and technical design reviews, and contribute ideas and feedback.
• Participate in code reviews, unit testing, and software deployment activities.
• Assist in monitoring, debugging, and improving application performance, security, and reliability.
• Assist in troubleshooting application issues and contribute to root‑cause analysis under the guidance of senior engineers.
• Collaborate with cross‑functional teams including engineering, product, IT security, and release management.
• Assist in the development and integration of AI‑powered features and intelligent user experiences using modern AI technologies and services.
• Stay updated on emerging trends in .NET, front‑end technologies, cloud computing, and AI.

Qualifications

• Basic programming knowledge in Java, Python, C#, or another object‑oriented programming language.
• Good understanding of relational databases and SQL, including database design fundamentals, query writing, stored procedures, and data modeling.
• Strong understanding of object‑oriented programming (OOP) principles; familiarity with design principles such as SOLID and KISS is a plus.
• Knowledge of React.js and modern front‑end technologies (HTML, CSS, JavaScript/TypeScript).
• Understanding of software development concepts and application architecture principles.
• Familiarity with version control systems such as Git and Bitbucket is a plus.
• Familiarity with NoSQL databases is a plus.
• Awareness of application performance concepts and optimization techniques.
• Understanding of secure coding practices.
• Familiarity with software design patterns and their practical application.
• Strong analytical, quantitative, and problem‑solving abilities.
• Excellent interpersonal, written, and verbal communication skills.
• Foundational knowledge of Artificial Intelligence (AI), Generative AI, and Large Language Models (LLMs), including prompt engineering and practical AI applications in modern software development.
• Collaborative mindset and eagerness to learn new technologies and grow within both AI and full‑stack engineering domains.

Preferred Qualifications

• Internship, academic project, or personal project experience with React, .NET, or web application development.
• Hands‑on experience with Python and AI‑based applications.
• Familiarity with AI services and frameworks such as Azure OpenAI, AWS Bedrock, LangChain, Semantic Kernel, or similar technologies.
• Familiarity with CI/CD pipelines, Docker, and cloud platforms (AWS, Azure, or GCP).
• Hands‑on experience with testing frameworks such as NUnit or xUnit.
• Exposure to AWS cloud services and cloud‑native application development.
• Experience analyzing and troubleshooting functional and technical issues through academic, internship, or personal projects.
• Exposure to Agile development methodologies.
• Familiarity with AWS services such as Lambda, S3, ECS, API Gateway, and related cloud‑native services.
• Interest in user experience (UX), accessibility, and responsive web design.
• Experience integrating AI/LLM capabilities into applications is a plus.