Tech Lead Manager at FF Seguros leading the development of scalable digital platforms. Overseeing multi-disciplinary teams and driving architectural decisions for robust solutions in a complex environment.
Responsibilities
Provide technical leadership to multidisciplinary squads, acting as a reference for architecture, quality and scalability decisions
Build and evolve critical platform components: APIs, integration hubs, authentication, messaging, service reuse and monitoring
Ensure security, performance and engineering governance from solution conception
Actively participate in product and technology strategy, focusing on reusable components and robust digital journeys
Promote a modern engineering culture: automated testing, CI/CD, versioning, observability and technical debt management
Use AI tools and copilots to boost productivity, review code and accelerate technical decisions
Support team growth: technical mentorship, structured feedback, development plans and promotion of company culture
Collaborate with areas such as data, product, security and enterprise architecture to ensure alignment between teams and technical excellence of deliveries
Requirements
Previous experience as a Tech Lead or technical leader managing engineers
Proficiency in backend languages (e.g., Java, Python, Node.js) and microservices architecture
Strong command of engineering best practices (automated testing, version control, CI/CD, observability)
Experience with data platforms, APIs and distributed environments
Experience with information security principles applied throughout the development lifecycle
Practical use of AI tools (GitHub Copilot, ChatGPT, automations) as part of everyday technical work
Ability to lead architectural decisions with a product-oriented mindset, focusing on reuse and efficiency
Preferred: experience in the insurance sector or in highly regulated environments
Knowledge of cloud architecture (preferably AWS) and serverless patterns
Certifications in architecture, cloud, security or software engineering
Participation in technical communities, open source contributions or experience with AI engineering
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