VP of Engineering

Há 6 dias


Maia Portugal Nimber Tempo inteiro


Hello Do you believe you found this opportunity by chance?

At Nimber, we dont believe in chance we believe in leadership, vision, and building technology that matters.

If this role caught your attention, great. Keep reading

Were not just hiring were looking for a strategic technical leader to help scale our engineering organization and shape the future of our platform. If youre passionate about building high-performing teams, delivering complex systems, and driving innovation across AI, data, and product infrastructure, this is your moment.

Position: VP of Engineering / Director of Engineering

Location: Maia, Porto (On-site)

Experience Level: Senior years)

Employment Type: Full-time

About the Role

Youll lead our entire engineering organization, overseeing backend, frontend, data, DevOps, and AI agent development. From roadmap execution to team scaling, youll be responsible for delivering high-impact technical initiatives and ensuring our systems are scalable, secure, and future-ready.

Key Leadership Areas
Technical Team Management
  • Lead and mentor cross-functional teams (Backend, Frontend, Data, AI/ML)
  • Scale engineering capacity to support company growth
  • Define best practices, code standards, and development processes
  • Foster a culture of innovation, ownership, and continuous improvement
  • Manage hiring, performance reviews, and career development
Full-Stack Technology Oversight
  • Data Infrastructure: PostgreSQL data lakes, ETL pipelines
  • Integrations & APIs: Microservices, third-party integrations
  • Web Scrapers: Scalable data collection systems
  • Frontend: React-based applications and customer interfaces
  • AI Agents: LangChain/LangGraph workflows, LLM orchestration
  • DevOps: Kubernetes, Docker, CI/CD, cloud deployment
Project Management & Delivery
  • Define and execute engineering roadmaps aligned with business goals
  • Manage timelines, resources, and delivery milestones
  • Implement agile methodologies and sprint planning
  • Coordinate cross-team dependencies and integrations
  • Ensure quality through testing and code review
  • Balance technical debt with feature development
Key Responsibilities
Strategic Leadership
  • Collaborate with executive leadership on technical strategy
  • Translate business needs into scalable technical solutions
  • Make architectural decisions for performance and maintainability
  • Evaluate and adopt new technologies and frameworks
  • Drive innovation while ensuring system reliability and security
Development Operations
  • Monitor KPIs for velocity, quality, and system performance
  • Implement tracking systems for visibility and accountability
  • Manage technical risks and mitigation strategies
  • Coordinate release planning and rollback procedures
  • Ensure compliance with security and data protection standards
Team Development & Culture
  • Build and onboard high-performing engineering teams
  • Provide mentorship and career growth opportunities
  • Foster collaboration across product and business teams
  • Promote knowledge sharing and documentation practices
  • Establish feedback loops and communication channels
Stakeholder Management
  • Communicate progress and challenges to executive leadership
  • Align expectations with product and business stakeholders
  • Coordinate with external vendors and partners
  • Present technical roadmaps to board and investors
  • Represent engineering in strategic planning discussions
Required Technical Background
Full-Stack Architecture
  • Backend: Python, microservices, API design
  • Frontend: React, JavaScript/TypeScript
  • Data Engineering: PostgreSQL, ETL, analytics systems
  • Cloud Infrastructure: AWS/GCP/Azure, Kubernetes, Docker
  • AI/ML Systems: LLM integration, agent frameworks, ML pipelines
Development Management
  • Agile methodologies, sprint planning, roadmap execution
  • Architecture decisions, code reviews, technical debt management
  • Team scaling, hiring, performance management
  • CI/CD, testing strategies, documentation
Integration & Scalability
  • RESTful APIs, authentication, rate limiting
  • Third-party integrations, scraping, error handling
  • Load balancing, caching, performance tuning
  • Security and vulnerability management
Preferred Qualifications
  • Masters in Computer Science, Engineering, or related field
  • Experience in AI/ML product development and agent systems
  • Background in data-intensive applications and scraping
  • Familiarity with GDPR and European data regulations
  • Experience in fintech, SaaS, or customer support tech
  • Multilingual (English, Portuguese, Spanish) for global expansion
Key Performance Indicators
Delivery Metrics
  • On-time delivery of roadmap milestones
  • Sprint velocity and completion rates
  • Code quality and bug resolution times
  • System uptime and performance benchmarks
Team Development
  • Retention and satisfaction scores
  • Productivity and collaboration metrics
  • Hiring and onboarding success rates
  • Career progression and skill development
Technical Excellence
  • Scalability and performance improvements
  • Technical debt reduction
  • Security incident resolution times
  • Innovation and technology adoption rates
What We Offer
Compensation & Benefits
  • Executive-level salary with equity participation
  • Performance-based bonuses
  • Budget for conferences, courses, and certifications
Leadership Opportunities
  • Direct reporting to CEO/CTO
  • Budget authority for hiring and tech investments
  • Influence over technical strategy and architecture
  • Equity growth potential as company scales
Work Environment
  • Modern office in Maia with top-tier hardware
  • Flexible hours within core collaboration times
  • International collaboration and travel opportunities
  • Access to premium AI/ML tools and infrastructure
Work Environment & Culture

This is an on-site leadership role in our Maia office. We value face-to-face collaboration for strategic planning, team building, and technical deep dives. As a senior leader, youll shape our engineering culture and define the practices that scale with us.

Technical Stack Youll Oversee
Backend & Data
  • Languages: Python, microservices
  • Databases: PostgreSQL + vector extensions
  • Infrastructure: Kubernetes, Docker, cloud-native deployment
  • AI/ML: LangChain, LangGraph, GPT-4, custom agents
Frontend & UX
  • Framework: React, JavaScript/TypeScript
  • State Management: Redux, Context API
  • UI/UX: Responsive design, accessibility
  • Real-time: WebSocket integration
DevOps & Monitoring
  • CI/CD: Automated pipelines, quality gates
  • Monitoring: APM, logging, alerting
  • Security: Auth systems, encryption, compliance
  • Scalability: Load balancing, caching, optimization
Interview Process
Technical Leadership Assessment
  • Architecture design for scalable systems
  • Engineering management scenarios
  • Roadmap planning and resource allocation
  • Code review and decision-making discussions
Leadership Evaluation
  • Team building and scaling strategies
  • Performance management and career development
  • Cross-functional collaboration
  • Project delivery methodologies
Executive Interviews
  • Strategic alignment with company vision
  • Budget and resource management
  • Cultural fit and leadership style
  • Long-term technical vision
Success Metrics (First 12 Months)
Team & Process
  • Establish development processes and standards
  • Hire and onboard 58 engineers
  • Implement tracking and delivery systems
  • Achieve 95%+ on-time delivery rate
Technical Excellence
  • Improve performance/scalability by 50%
  • Reduce bugs/incidents by 75%
  • Launch 2+ major product features
  • Implement full CI/CD and testing coverage
Organizational Impact
  • Define career paths and growth plans
  • Achieve 90%+ team satisfaction
  • Build documentation and knowledge sharing
  • Strengthen collaboration across departments

Ready to lead the future of engineering?

Apply now and become a Nimber where leadership meets innovation.



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