5 publicaciones de empleo destacadas de reliability engineer en buenos aires, b (¡Están contratando!)

Lead C# Software Architect
Marvik —Buenos Aires, Buenos Aires
Senior Staff Data Platform Architect
GoFundMe —Buenos Aires, Buenos Aires
Java Technical Referent
dLocal —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
13d
Cloud Architect
dLocal —Buenos Aires, Buenos Aires
- Tiempo completo
Postulación rápida
Staff Software Engineer (Product Systems & Platform Engineering)
EQUALS TRUE —Vicente López, Buenos Aires
- Tiempo completo
Postulación rápida

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Senior Staff Data Platform Architect
GoFundMe —Buenos Aires, Buenos Aires
10+ years of experience in data architecture, platform engineering, or data engineering, with at least 3+ years in a senior, staff, or architect-level role.
Lead C# Software Architect
Marvik —Buenos Aires, Buenos Aires
Drive AI leverage as the spine of value delivery — architect agent-friendly platform surfaces (MCP and beyond) and patterns that let humans and agents move the…

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This role in: Cross-platform architecture · AI-augmented engineering · Monolith decomposition · Reliability & operational excellence

Own the architectural vision and tech roadmap spanning all Stratus product lines; ensure decisions made in one team don't undermine platform coherence
Drive AI leverage as the spine of value delivery — architect agent-friendly platform surfaces (MCP and beyond) and patterns that let humans and agents move the roadmap faster together
Lead the decomposition of the ASP.NET monolith into a modular service architecture: sequencing, seam identification, migration patterns, and AI tooling to compress refactor and test work
Set engineering standards through working reference implementations, POCs, in-repo templates, and guardrails (CI, lint) that make the standard path the easiest path
Partner with the Data Architect to define cross-product data architecture and integration strategy — including event-driven backbones and the evolution of MongoDB and SQL Server data models
Drive reliability, performance, and operational excellence with the platform team: production-readiness standards, observability, and DORA metrics
Mentor senior engineers and raise the technical bar across teams through code review, design review, and technical coaching
Engage directly with customer-facing teams and customers when needed to ground architectural decisions in real workflow problems
Own the trade-offs for off-standard technology choices and set the decision criteria in collaboration with engineering leadership

12+ years of professional software engineering experience, with 4+ years in a Principal Engineer, Staff+, or Architect role at a B2B SaaS company
Demonstrated track record of leading architecture across multiple teams or product lines — not just within a single team or technology
Deep proficiency in Azure and C#/.NET, with strong opinions on modern Azure architecture (AKS, Functions, Service Bus) and when to apply each
Genuine polyglot — strong working proficiency in multiple languages beyond C# (Python, Go, TypeScript/Node, or similar), with the judgment to pick the right tool for the job
Experience leading the decomposition of monolithic applications into modular or service-oriented architectures, including the operational realities of incremental migration
Experience designing and operating event-driven systems and integration architectures
Hands-on experience driving reliability and operational excellence: SRE practices, observability, and production readiness reviews
Comfortable contributing to and reviewing code across the full stack, including frontend (VueJS or comparable)
Excellent written and verbal communication — capable of writing succinct architecture docs and explaining tradeoffs to engineers, product, and executives
Advanced English

Experience designing systems where AI agents are first-class consumers: MCP servers, agent-facing APIs, retrieval-grounded interfaces
Experience modernizing legacy ASP.NET MVC applications
Data architecture experience on both relational (SQL Server) and document (MongoDB), with experience designing data models that survive scale and evolution
Working proficiency in AWS and the judgment to evaluate cloud tradeoffs across providers
Background in security architecture and threat modeling for B2B SaaS
Experience with Azure serverless patterns and when to apply them
Experience with Autodesk products (AutoCAD, Revit, Fabrication, BIM 360) or other MEP/AEC/CAD software
Domain knowledge of MEP, BIM, or construction technology workflows
Prior experience at a Series B / growth-stage company navigating the transition from PMF to scale