Staff Software Engineer – BI Intelligence

Jobtailor

São Paulo

Híbrido

BRL 360 000 - 600 000

Tempo integral

há 30 horas

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Resumo da oferta

Nubank is seeking a Staff-level Software Engineer to design and evolve analytics platforms powering global data experiences for Nubankers. You will lead the development of reliable distributed systems, with a focus on AI/LLM-powered tooling and data governance.

You will mentor engineers, set architectural direction, collaborate across teams, and balance security, latency, and cost at scale while delivering high-impact analytics products for a regulated fintech environment.

Qualificações

Proven experience as a Staff-level Software Engineer or equivalent technical leader delivering high-impact systems in production.
Strong software engineering fundamentals and an SRE mindset.
Experience designing reliable distributed systems, defining service objectives and improving observability.
Experience with data platforms or analytics infrastructure (e.g., Databricks, distributed query engines, metadata catalogs, semantic layers or large-scale data systems).
Deep understanding of data semantics, metric definitions, data contracts, lineage, data quality and access control.
Experience designing or integrating AI/LLM-powered products (natural-language interfaces, RAG, tooling).
Ability to balance security, governance, reliability, latency, performance and cost at scale.
Proven ability to lead ambiguous cross-functional initiatives and align teams across stakeholders.
Strong written and verbal communication.

Responsabilidades

Design and evolve analytics platforms powering Nubankers and business units across the company.
Build AI-powered data experiences, including natural-language interfaces, query generation, tool orchestration, grounding and feedback mechanisms.
Develop foundations for trustworthy AI analytics, including semantic context, governed metrics, data contracts, lineage, quality and access control.
Design and operate reliable distributed systems with observability, service objectives, security, performance and cost controls.
Drive technical direction and make architectural decisions with engineering leadership and cross-functional stakeholders.
Translate ambiguous problems into technical options, trade-offs and execution plans.
Mentor engineers and raise engineering standards through design reviews, pairing, documentation and operational practices.
Turn AI capabilities into dependable products that improve how Nubankers work with data.

Conhecimentos

Staff leadership

SRE mindset

Distributed systems

AI/LLM integration

Cross-functional

Mentoring engineers

Data quality

Security governance

Problem solving

Communication

Ferramentas

Databricks

Distributed Query Engines

Metadata Catalogs

Semantic Layers

Conversational Analytics

Agentic Workflows

AI-Powered Dev Tools

Evaluation Frameworks

Monitoring Tools

Descrição da oferta de emprego

Design and evolve analytics platforms serving Nubankers and business units across the company
Build AI-powered data experiences, including natural-language interfaces, query generation, tool orchestration, grounding and feedback mechanisms
Develop foundations for trustworthy AI analytics, including semantic context, governed metrics, data contracts, lineage, quality, access control and evaluation
Design and operate reliable distributed systems with observability, service objectives, security, performance and cost controls
Drive technical direction and make architectural decisions with engineering leadership and cross-functional stakeholders
Translate ambiguous problems into technical options, trade-offs and execution plans
Mentor engineers and raise engineering standards through design reviews, pairing, documentation and operational practices
Turn AI capabilities into dependable products that improve how Nubankers work with data

Requirements

Proven experience as a Staff-level Software Engineer or equivalent technical leader delivering high-impact systems in production
Strong software engineering fundamentals and an SRE mindset
Experience designing reliable distributed systems, defining service objectives and improving observability
Experience with data platforms or analytics infrastructure, such as Databricks, distributed query engines, metadata catalogs, semantic layers or large-scale data systems
Deep understanding of data semantics, metric definitions, data contracts, lineage, data quality and access control
Experience designing or integrating AI/LLM-powered products, including natural-language interfaces, RAG, tool use, query generation, grounding or evaluation
Ability to balance security, governance, reliability, latency, performance and cost at scale
Proven ability to lead ambiguous, cross-functional initiatives and drive alignment across teams and stakeholders
Strong written and verbal communication skills, including the ability to explain complex technical decisions clearly
Experience mentoring engineers and influencing technical direction beyond the immediate team
Experience with conversational analytics, agentic workflows or AI-powered developer/data tools (nice to have)
Experience with evaluation frameworks, guardrails and monitoring for AI-generated outputs (nice to have)
Background in financial services, fintech or other regulated environments (nice to have)
Availability to work onsite two to three days per week
Legal authorization to work in Brazil

Core Competencies

Demonstrates expertise in designing and evolving analytics platforms, with a strong focus on AI-powered data experiences and reliable distributed systems. Proven ability to lead cross-functional initiatives, mentor engineers, and ensure high standards in software engineering practices.

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