Software Engineer specializing in AI at Itaú, enhancing cognitive finance platforms. Engage cross-functionally to lead integrated solutions for complex projects across the bank.
Responsibilities
Propose, design, and lead integrated solutions across squads, corporate platforms, and bank teams
Build technical bridges with platform, security, data, and architecture teams
Remove blockers from critical projects by anticipating risks and simplifying paths
Define standards, architectural references, and best practices for agile architectures
Provide technical influence across multiple teams with a systemic and pragmatic perspective
Requirements
Software engineering
DevSecOps: automation and platform design integrating application and infrastructure security
Backend: development of backend services, language-agnostic, focused on security, scalability, and performance
Code Design: ability to design clean, modular, and maintainable code, following engineering best practices
Software Architecture: design and implementation of robust, scalable, and secure architectures, considering functional and non-functional requirements
Software Quality: systemic view of testing, reliability, resilience, and maintainability
AWS Stack: experience with services such as EC2, S3, Lambda, RDS, CloudFormation, ECS, EKS, etc. (or equivalents)
Application Integration: secure, resilient integration between systems, with attention to throughput, observability, and monitoring
Observability as part of the architecture, not an afterthought
Prompt Engineering: design and optimization of prompts (few-shot, chain-of-thought, etc.)
Proficiency with AI tools for software development (copilots, agents, automations)
Technical Writing: produce clear technical documentation to guide developers and consumers of products, components, or reference architectures
Solid understanding of enterprise data platforms
Ability to architect solutions considering:
Data quality, governance, and lineage
Data consumption by services, products, and agents
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