Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.
About the client:
Our customer is the European online car market, with over 30 million monthly users and a presence in 18 countries. As a Lead FullStack Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.
Responsibilities:
- Developing fast, high-traffic public-facing websites
- Explore new technologies and help the team to use them
- Work using AI tools and apply them to the SDLC
- Following software development best practices while delivering the work
- Following testing principles while testing your own code to ensure production readiness
- Follow the philosophy of: you-build-it-you-run-it (be responsible for the SDLC processes)
Requirements:
- 5+ years developing reliable, highly available, and scalable software systems
- Strong understanding of software architecture and design patterns
- Firm grasp of clean code principles and coding standards
- Strong proficiency using AI tooling, such as ChatGPT/Codex, for rapid development
- Experience integrating AI tooling into your development environment for streamlined usage
- Experience with AI Frameworks like Vercel AI SDK, LangChain, etc.
- Strong proficiency with backend development with C# or Node.js
- Strong proficiency with TypeScript
- Strong proficiency with SQL& NoSQL datastores (GraphQL, Redis)
- Strong proficiency with frontend development (HTML, CSS, JavaScript)
- Strong proficiency with component-based frameworks and SSR (Next.js/React or Vue.js) or Angular with the desire to learn React/ Vue.js.
- Hands-on experience developing and maintaining 3rd party content management systems
- Knowledge of modern cloud infrastructures and tools, such as AWS, Terraform, and Docker
- Experience with APIs and developing in a service-based application environment
- Experience building optimized UIs for performance
- Proficiency with version control systems such as Git
- Experience working within a formal CI/CD pipeline
- Experience with logging, monitoring, and alerting services like Datadog, Newrelic
- Solid approach to testing and ensuring quality of code, Unit testing, backend, and frontent
- At least Upper-intermediate English level
- This role requires mandatory timezone coverage: work must align with the Toronto (ET) timezone for LATAM hours and 13:00–21:00 EET for EU hours approximately.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Information Technology • Consulting
Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.
Top Skills:
.Net.Net CoreAgentic ToolsAi-Assisted Coding ToolsC#Generative AiLlmsNext.JsReactTypescript
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The CI Engineer will focus on loss intelligence and prevention, facilitate improvements in manufacturing through lean methods, and coach teams in performance analysis.
Top Skills:
ExcelFi ToolsLean ManufacturingPdcaRcaSmed
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.
Top Skills:
Distributed ComputingLarge Language ModelsPythonPyTorchTransformer Architectures
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
