Name: Software engineer
Price: 400 EUR
Availability: InStock

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Französisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 50 km)

Naera
Software Engineer
November 2024 - Heute (1 Jahr und 8 Monate)
Berlin, Germany
• • Built the frontend application from scratch using React
• • Designed and deployed cloud infrastructure on AWS (S3, CloudFront, EC2) using Terraform
• • Implemented CI/CD pipelines with GitHub Actions to deploy frontend applications
• • Managed environment separation (staging / production) for frontend and backend
• • Contributed to backend development using FastAPI & Python, including API integration
• •Worked with MongoDB, learning data modeling and API connectivity
• • Updated and maintained EC2 instances via AWS CLI
• • Gained hands-on exposure to LLM-based systems:
• • LangChain (agents, chains)
• • Prompt engineering & evaluation
• • LangSmith observability
• • Deployed AI models using Azure AI Foundry with Bicep
felmo
Frontend software developer
Februar 2022 - Januar 2024 (1 Jahr und 11 Monate)
Berlin, Germany
I was the only frontend developer for the company's online shop, which was a Statamic CMS that used the React
javascript library for the frontend. I was responsible for the quality of the shop's frontend development. I had to
detect bugs, fix them and develop new features. Here are some of my achievements:
• Helped with the migration of e-commerce integration from Snipcart to Commerce Layer
• Helped with the migration of the frontend from Vue.js to React
• Integrated new Figma designs: homepage, product tiles, product page, category pages, landing pages, menu,
etc. Almost all the UI you can find here: https://felmo.de/shop
• Implemented new functionalities to the shop: support of bundles and bulks, UTM parameter triggered
discounts, search bar...
• Helped to revamp URL structure of the shop for SEO purposes
• Implementation of A/B tests with Launchdarkly
• Improvement of site performance and referencing using Google Lighthouse