Tech Lead (Fullstack & AI Automation)

At Damia Group Portugal (Permanent), in Lisbon, Portugal
Expires at: 2027-05-12
Remote policy: Partial remoteDamia Group is an international tech recruitment agency with 3 decades of experience. Our arrival in Portugal, 7 years later, was set on a mission to transform IT recruitment experiences and, through them, achieve better results. We believe in long-term relationships with a transparent and relaxed mindset. In a short period, we have reached the hearts of both scale-ups and larger organisations by delivering spot-on curated candidate shortlists, increased job offer acceptance rates and shorter time-to-fill.

Damia handles direct hires on behalf of our clients.

Who are they looking for?Being a Tech Lead that will act as the technical anchor and team mentor for a dedicated development team, responsible for the software design, implementation, and technical excellence of our applications. This role combines hands-on development guidance with 
practical solution architecture, ensuring that Full Stack engineering teams build scalable, resilient, cloud-native solutions within Azure Cloud environments. The position requires a modern engineering mindset focused on delivering robust systems, promoting continuous improvement within the team, and pragmatically integrating modern automation frameworks and AI workflows into the team's software solutions

What is the challenge?

In this role, you will:

• Provide strong, hands-on technical leadership to Full Stack engineering teams through:
  • Daily architectural guidance during sprint execution and feature implementation.
  • Conducting constructive code reviews and fostering a culture of engineering mentorship.
  • Defining and enforcing code standards, development best practices, and clean code principles.
• Design and structure the software components delivered by the team, ensuring:
  • Clean application structure, modularity, and proper separation of concerns.
  • Robust API-first development and secure integration strategies.
  • Appropriate data modelling and persistence strategies (including relational, nonrelational, or vector databases where applicable).
  • Translating product features into concrete, scalable technical specifications for the development team.
• Guide the team in structuring applications prepared for modern containerised environments and orchestration platforms (like Kubernetes), ensuring:
  • Stateless, resilient service design and proper error handling.
  • Familiarity with fault tolerance and graceful degradation when consuming external dependencies or AI APIs.
  • Promotion of maintainable, observable, and testable application patterns.
  • Collaboration with platform/DevOps tools to ensure smooth CI/CD pipelines and operational reliability.
• Ensure the team's software applications communicate seamlessly with automation and modern workflow environments, focusing on:
  • Modern Workflow Automation: Building robust endpoints and integration hooks to connect software applications with n8n or similar backbones.
  • AI Feature Integration: Guiding developers on how to integrate LLM applications or multi-agent concepts (LangChain, LangGraph, or CrewAI) safely into the team's core products.
  • Ensuring clean integration boundaries, proper security, and reliable data flows

 

Main requirements

Mandatory Experience (Hard Skills)
Full Stack Engineering Leadership:

• Solid hands-on experience in modern Full Stack software engineering, covering backend development, frontend application architectures, and API-first development (REST/GraphQL).
• Proven track record of guiding, mentoring, or acting as a technical reference for other developers.

 Solution Architecture & Patterns:

• Practical experience in software application design, mastering modularity, asynchronous communication, data modeling, and integration patterns.

Modern Automation & AI Orchestration:

• Experience with or exposure to architecting patterns for modern workflow automation tools, specifically n8n (or similar advanced integration backbones).
• Experience with or exposure to designing and deploying applications using frameworks such as LangChain, LangGraph, or CrewAI.
• General understanding of AI infrastructure concepts (e.g., prompt chaining, stateful agent loops, or integrating AI components into standard software).

Cloud & Container Awareness:

• Experience building and deploying cloud-native applications leveraging Azure Cloud services.
• Technical capacity to design solutions prepared to run in containerised environments and tools like Kubernetes (or equivalent orchestration/container apps).

Interpersonal Competencies (Soft Skills)

• Technical Mentorship & Pedagogical Capacity: Passion for teaching, unlocking technical blockers for developers, and elevating the technical maturity of the team.
• Architectural Pragmatism: Strong judgment in balancing the "ideal architecture" with realistic business timelines and delivery constraints, always favouring simplicity and maintenance.
• Systems Thinking: Ability to see how the team's code fits into the larger infrastructure, ensuring integrations are clean and dependencies are managed.
• Collaboration & Communication: Clear communication style to align technical decisions with the Product Owner/Stakeholders and guide developers smoothly.

Nice to have

Preferred / Valued Experience (Nice to Have)

• Experience integrating with enterprise RPA ecosystems such as UiPath or Power Platform.
• Experience working in Agile environments using Squads / Chapters dynamics.
• Familiarity with logging, tracing, and basic application observability tools.