Intern, Software Development Engineer PSET-Localization

Job Requisition  #

26WD100997

The Localization team is seeking a motivated and curious Cloud, AI & Automation Intern to join our dynamic team. In this role, you will contribute to the development of cloud-native services, AI-enabled solutions, and intelligent automation, with a focus on building secure, resilient, scalable, and efficient systems.

This internship provides a unique opportunity to gain hands-on experience with cloud technologies, Generative AI and AI-assisted software development, automation, and modern Dev Ops practices. You will work alongside experienced professionals, contribute to real-world engineering projects, and explore how emerging AI technologies can improve software development, localization workflows, automation, and cloud operations.

• Assist in the design, development, testing, and deployment of cloud-native services, APIs, scripts, and automation tools
• Develop automation solutions to improve engineering and operational efficiency
• Explore and prototype AI/ML and Generative AI solutions for engineering and localization use cases
• Use AI-assisted development tools to support coding, testing, debugging, documentation, and automation
• Explore the use of Large Language Models (LLMs), APIs, and AI agents/workflows to solve practical engineering problems
• Support the integration of cloud services, APIs, AI capabilities, and automation frameworks
• Collaborate with team members to identify opportunities where AI and automation can simplify or improve existing processes
• Monitor, troubleshoot, and improve existing cloud services and automated workflows
• Contribute to automated testing, observability, security, and resiliency improvements
• Participate in technical discussions, design reviews, documentation, and knowledge-sharing activities
• Learn and apply modern Dev Ops, cloud security, responsible AI, and software engineering best practices

• Currently enrolled in a Bachelor’s degree program in Computer Science, Computer Engineering, or a related field, graduating in 2027 or 2028
• Foundational knowledge of at least one programming or scripting language, such as Python, Java, or Java Script
• Basic understanding of software development concepts and exposure to cloud technologies
• Interest in AI/ML, Generative AI, cloud computing, and automation
• Strong analytical, problem-solving, and learning skills
• Ability to explore unfamiliar technologies and independently learn new concepts
• Ability to collaborate effectively in a diverse team environment
• Internship period: 11 January - 25 June 2027 (fixed dates)

• Programming & Development:
  Python, Java, JavaScript, Node.js, Angular
• Cloud & Serverless: AWS, AWS Lambda, Amazon S3, API Gateway, and other AWS services
• Generative AI & AI-Assisted Development:
  Large Language Models (LLMs), prompt engineering, Claude, Cursor, or similar AI development tools
• AI/ML:
  Basic understanding of machine learning, Generative AI, embeddings, Retrieval-Augmented Generation (RAG), or AI agents/workflows
• Databases & Data Platforms: SQL, Amazon RDS, Amazon DynamoDB, Snowflake
• Containers & Dev Ops:
  Docker, CI/CD, Git, infrastructure automation, monitoring, and Dev Ops practices
• Interest in exploring emerging technologies and applying AI, automation, and cloud-native approaches to real-world engineering challenges

• Gain practical experience developing secure, scalable, and resilient cloud-native solutions
• Build practical understanding of Generative AI, LLMs, AI agents, and AI-enabled automation
• Learn how AI can be integrated responsibly into software engineering, localization, and operational workflows
• Gain experience using AI-assisted development tools for coding, testing, debugging, documentation,…