VP of Engineering / Director of Engineering Maia

VP of Engineering / Director of Engineering

Join to apply for the VP of Engineering / Director of Engineering role at Nimber.

About The Role

You’ll lead our entire engineering organization, overseeing backend, frontend, data, Dev
Ops, and AI agent development. From roadmap execution to team scaling, you’ll 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 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, integrations & APIs, frontend, AI agents, Dev
  Ops.
• Project Management & Delivery – Define & execute roadmaps, manage timelines, resources, and delivery milestones; implement agile methodologies; coordinate cross‑team dependencies; ensure quality through testing and code review; balance technical debt with feature development.

Strategic Responsibilities

• 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; drive innovation while ensuring system reliability and security.
• Monitor KPIs for velocity, quality, and system performance; implement tracking systems; manage technical risks and mitigation strategies; coordinate release planning and rollback procedures; ensure compliance with security and data protection standards.
• Build and onboard high‑performing engineering teams; provide mentorship and career growth opportunities; promote collaboration across product and business teams; foster knowledge sharing and documentation practices; establish feedback loops and communication channels.
• 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, Java
  Script/Type
  Script. Data Engineering: Postgre
  SQL, 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, Saa
  S, or customer support tech.
• Multilingual (English, Portuguese, Spanish) for global expansion.

What We Offer

• Executive‑level salary with equity participation.
• Performance‑based bonuses.
• Budget for conferences, courses, and certifications.
• Direct reporting to CEO/CTO.
• Budget authority for hiring and tech investments.
• 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.

Interview Process

• Technical Leadership Assessment – Architecture design, engineering management scenarios, roadmap planning, code review.
• Leadership Evaluation – Team building, performance management, cross‑functional collaboration.
• Executive Interviews – Strategic alignment, budget, cultural fit.

Success Metrics (First 12 Months)

• Establish development processes and standards; hire and onboard 58 engineers; implement tracking and delivery systems; achieve 95%+ on‑time delivery rate.
• Improve performance and scalability by 50%; reduce bugs and incidents by 75%; launch 2+ major product features; implement full CI/CD and testing coverage.
• Define career paths and growth plans; 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.