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Gauge

Stefanini Group

Technical Architect

Backend EngineerSoftware EngineerFull TimeRemoteSeniorTeam 51-200Since 2009H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

46 days ago

Salary

0

Seniority

Senior

Job Description

Technical Architect

Gauge

• Own solution and AI architecture: RAG, AI agents, and LLM-enhanced systems that are observable, testable, and governable — not demo-only. • Define model and data lifecycle from experiment through PoC, pilot, and production: evaluation, drift signals, retention, and classification aligned with security stakeholders. • Run hands-on feasibility work using agentic workflows: targeted PoCs (retrieval stacks, evaluation harnesses, integration spikes) driven through Cursor/Claude Code and AFA where applicable. • Define non-functional requirements and manage technical risk and debt: latency, scale, resilience, security, and cost — with mitigations and sequencing captured in ADRs and fitness assessments. • Create architecture artifacts in Git: C4 and data-flow views as diagram-as-code; infrastructure context with the Cloud Architect; UML or equivalent views where tooling generates them from models or code; threat models as structured, reviewable repository content — not unmanaged documents. • Harden and evolve AFA Cursor rules, agent skills (e.g., design-new-service, evaluate-design, review-pull-request patterns), and sub-agents so AI, API, security, and data standards match Pearson and ELL composable architecture expectations. • Define data architecture: logical and physical models as schemas, migrations, and manifests; SQL/NoSQL choices matched to access patterns and privacy constraints. • Shape DevSecOps and quality with the Cloud Architect, DevOps, and QA: CI/CD gates, contract and test expectations; architecture- and security-focused review using AFA pull-request verdict workflows alongside human reviewers. • Set performance budgets and evaluation criteria; support profiling, tracing, and tuning. • Work in Agile delivery: ADRs and Design Decision Records, spikes, and explicit trade-offs with product, security, infrastructure, and customer stakeholders. • Deliver early outcomes: current-state and target-state architecture for an active initiative, expressed as diagram-as-code and ADRs (trust boundaries, non-functional requirements); a prioritized roadmap; threat artifacts for sensitive paths; and clear handover criteria with the Cloud Architect, QA, and DevOps.

Job Requirements

  • Extensive daily use of Cursor (Agent mode, rules, skills) and Claude Code or equivalent agentic CLI for design, implementation support, and review.
  • Ability to author and refine AFA-style rules and skills (markdown workflows, guardrails) for solution architecture, AI/MCP patterns, and cross-cutting NFRs.
  • RAG, AI agents, and LLM application architecture; AI model development and lifecycle concepts; deploying and serving models hands‑on where needed.
  • Data lifecycle: sourcing, PII and sensitive data handling, pipelines, and quality.
  • Deep Python as the squad’s main language for services, AI and ML glue code, evaluation harnesses, and proofs of concept; polyglot ability to design and integrate TypeScript, Go, .NET, or JVM services when initiatives require it.
  • SQL and NoSQL data stores; cloud-native design with Azure as primary and awareness of AWS where initiatives span both.
  • C4, diagram-as-code, data-flow and threat modeling expressed as versioned repository artifacts.
  • Strong collaboration, technical leadership, teamwork, accountability, organization, and clear communication.
  • Research-oriented mindset: explore options, measure results, and decide with evidence.
  • Balance long-term vision with incremental delivery — thin vertical slices, measurable proofs of concept, and trade-offs recorded in ADRs and AFA-friendly checklists.
  • Facilitate trade-off discussions without becoming a delivery bottleneck.
  • Gather and refine business intent into technical outcomes in Agile ceremonies and through the backlog.
  • Additional language depth beyond Python (e.g., Go, TypeScript, Kotlin/Java, or C#) for performance-critical services, front-end stacks, or partner-team codebases.
  • Enterprise identity (OIDC/OAuth2) and multi-tenant or customer-hosted trust boundaries.
  • Contributions to the architectural-fitness-agents repository: rules 01–21 and skills such as assess-domain, design-new-service, implement-remediation.
  • Regulated environments and audit evidence produced as structured repository artifacts.

Benefits

  • Meal voucher / food allowance
  • Health insurance
  • Dental insurance
  • Day off
  • Gympass / Totalpass
  • Childcare assistance
  • Pet assistance
  • Fuel allowance
  • Home office allowance
  • Educational reimbursement
  • Free online health platform
  • E-learning – Stefanini Academy with a variety of courses
  • Mentoring – Mentoring platform (an opportunity to meet people, develop skills, and share experiences)
  • Discounts at partner institutions for undergraduate, postgraduate, language courses and other courses
  • Perks and discounts at top establishments

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