Senior Fullstack Engineer (React/TypeScript/AI-Assisted Development) · LATAM
Location: Anywhere in LATAM
Work Model: 100% Remote
Engagement: Full-time Contractor
Project: FinTech · Customer Experience Operations Platform
English Level: Advanced
Seniority: Senior
Commitment & Focus
This role requires full‐time dedication, with clea-first culture, strong professional standards, and a long-term partnership mindset.
We work with distributed teams, complex technical challenges, and clients whose technology has a direct impact on their businesses and users.About the ProjectWe are partnering with an innovative cybersecurity company building a next-generation Identity Security and Identity Observability platform .
The product helps enterprise security teams understand how human users, service accounts, workloads, applications, and AI-driven identities access systems across cloud, SaaS, network, endpoint, and on-premise environments .
At the core of the platform is a highly data-intensive architecture that collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals .
This information is processed to identify unusual access patterns, security risks, identity blind spots, infrastructure misconfigurations, and potential threats.The platform integrates with complex enterprise ecosystems including identity providers, cloud platforms, SASE solutions, SIEMs, endpoint security tools, network infrastructure, and security services.About the RoleWe're looking for a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization.This is not a traditional backend or internal data engineering position.You'll work directly with customers to understand their infrastructure, data sources, security architecture, network topology, APIs, and workflows, then design and implement scalable mechanisms to ingest that information into the platform.You'll combine data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting .
A major part of your mission will be building and evolving connectors and ingestion pipelines capable of integrating data from complex enterprise environments while maintaining reliability, scalability, security, and fast time-to-production.What You'll Be DoingDesign, develop, and maintain production-grade data collectors, connectors, and ingestion services .




Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems .
Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.Participate in technical onboarding processes, from initial discovery and architecture design through production deployment.Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources .
Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices .
Develop backend services primarily using Python and/or Go .
Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.Build and operate containerized services using Docker and Kubernetes .
Deploy and integrate solutions across AWS, Azure, and GCP environments .
Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.Optimize ingestion performance, reliability, scalability, and operational efficiency.Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.Contribute technical insights from real-world implementations to the product roadmap.Support production adoption and continuously improve time-to-value for enterprise customers.Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.What You Bring1�making, and engineering best practices around type safety, linting, testing, and maintainability.
What You Bring
8+ years of software engineering experience, with a strong frontend‐oriented background.




Strong production experience with React and TypeScript.
Hands‐on experience actively using AI development tools and agentic workflows such as Cursor, Claude Code, GitHub Copilot, coding agents, AI‐assisted specifications, or similar tooling.
Ability to use AI as part of the engineering workflow while maintaining ownership over architecture, code quality, testing, and technical decisions.
Experience building complex product interfaces involving forms, tables, filters, dashboards, and multi‐step workflows.
Strong understanding of modern frontend development practices and component‐driven architectures.
Experience with modern bundlers such as Webpack, Rspack, or Vite.
Experience with Tailwind CSS or similar modern styling frameworks.
Experience consuming REST APIs and working with OpenAPI‐based services.
Ability to debug and troubleshoot issues across frontend and backend boundaries.
Experience with modern state management and server‐state patterns such as TanStack Query, React Context, and hooks.
Strong debugging, problem‐solving, and technical decision‐making skills.
Ability to collaborate effectively with Product, Engineering, and operational stakeholders.
Advanced English proficiency, both spoken and written.
Nice to Have
Experience designing or integrating AI‐agent workflows, AI‐powered interfaces, or automated support operations.
Experience with micro‐frontends or Module Federation.
Experience working with monorepos using pnpm, Turbo, Nx, or similar tools.
Familiarity with Refine, react‐intl, or admin/operations‐focused internal platforms.
Experience developing BFF layers with Node.js / Fastify.
Experience with Python / FastAPI, particularly the ability to understand APIs, propose schema changes, or implement small backend endpoints.
Experience working with PostgreSQL‐backed services and transactional or domain‐oriented APIs.
Experience in FinTech, payments, remittances, customer support platforms, or high‐volume operational systems.
Experience with GCP, including technologies such as OIDC or Pub/Sub.
Experience with Docker and CI/CD in cloud‐native environments.
Familiarity with Storybook, Vitest, and design‐system workflows.
Experience working in fast‐moving startup or scale‐up environments.
What Darwoft Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
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