Tech Lead (.NET & Aws)
Role details
Job location
Tech stack
Job description
- Set the technical vision and direction, ensuring alignment with business goals and creating a high-performing, scalable SaaS.
- Design agile, scalable, and maintainable systems that meet requirements and solve technical challenges.
- Collaborate with stakeholders to align product vision with technical feasibility.
- Contribute code, debug complex problems, and provide hands-on technical expertise.
- Prioritize and address technical debt, ensuring system maintainability and scalability.
- Provide guidance, coaching, and mentorship to team members, fostering professional growth.
Requirements
You'll be the technical lead of an AI Squad composed of a Project Manager and specialists in Backend, Frontend, and Machine Learning, collaborating directly with the AI Department of a leading Customer Experience firm.
We seek a Tech Lead experienced in building cloud-native software with knowledge of cutting-edge AI technologies (LLMs, RAG, Transformer-based models). Proven experience with AWS and relevant certifications are required.
You have led AI teams, ensuring successful project execution, and you guide your team while making sure projects finish on time and to standard.
You possess strong understanding of software design, including SOLID principles, Domain-Driven Design (DDD), Event-Driven Architecture (EDA), and fundamental principles of security, logging, monitoring, and production-environment support., * Strong written and spoken communication skills in English.
- 7+ years of Software Development experience, of which at least 2 in a leading role.
- Proficient with .NET and knowledgeable in frontend languages and frameworks such as TypeScript and Vue.js.
- Highly experienced with AWS infrastructure and cloud-native applications.
- Experience with SQL and NoSQL databases.
- Proficient with GitLab.
- Superior communication skills.
- MSc in Engineering, Computer Science, Telecommunications, or related fields.
What's nice to have
- Prior experience with AI projects involving Large Language Models, embeddings, etc.
- AWS Certification.
Benefits & conditions
Indefinite full-time contract with growth opportunities (horizontal and vertical).
On-demand learning budget and ongoing company-wide training on relevant industry topics.
Comprehensive compensation package, including private medical insurance coverage and versatile remuneration on meals and transportation via Cobee.
Inclusion in diverse communities and access to meetups (Women in Tech, LGBTQ+, Wellbeing, City Lifestyle, etc.).
Dynamic, inclusive, international work environment with more than 20 nationalities.