Location: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEngagement: Full-time143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAMLocation: LATAMWork Model: 100% RemoteProject: Identity Security / Cybersecurity PlatformSeniority: SeniorEnglish Level: B2 / C1Engagement: Full-timeGet to Know DarwoftAt Darwoft, we build custom software solutions and partner with international companies to create high-impact digital products.We are a Latin American technology company with a people-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,



eerve over 1M daily active creators.
You'll set their direction, track how they perform, and decide what to improve next.
Work across the stack.
You'll build and change backend APIs, services, and data flows when a feature needs it, instead of waiting on another team.
Drive your own roadmap.
You'll spot opportunities in user feedback, data, and the codebase, turn them into proposals, align with product and design, and deliver without needing to be managed closely.
Build AI-powered product experiences.
You'll ship LLM-driven features across the stack, from model integration and prompts on the backend to streaming responses, error handling, and clear UX when model output is unpredictable.
Fix architecture and performance problems.
You'll find bottlenecks and weaknesses anywhere in the request path, frontend or backend, and leave the system better than you found it.
Make AI part of how the team works.
You'll use tools like Claude Code, Cursor, and GitHub Copilot every day, share what works, and help set team practices for using AI responsibly.
Improve durability.
You'll test important workflows, add useful monitoring and error reporting, and own what you ship after it's live, whether you wrote every line or reviewed and refined AI-generated code.
Raise the bar through review and mentorship.
You'll review code from other engineers, AI-assisted or not, and give feedback that helps others grow.
About You
You have at least 5 years of professional software development experience.
You're strongest on the frontend, but you're comfortable on the backend.
You can design an API, write server‐side code, work with databases, and debug problems that cross the client‐server boundary.
You're self-driven.
You don't need a detailed spec to get started, and you're happy making decisions, asking the right questions, and moving work forward on your own.
You act like an owner.
When something you're responsible for breaks, underperforms, or confuses users, you notice and fix it before anyone asks.
You've led projects from concept to completion, including documenting the work and teaching others about it.
You care about product quality and leave codebases in better shape than you found them.
You write and speak clearly, and you can explain technical concepts to non-technical people.
You're confident with TypeScript, React, Next.js, Vite, and Tailwind.
You're a heavy, thoughtful user of AI tools.




AI coding assistants and agents are part of how you plan, build, debug, test, and review every day.
You know where they save you hours and where they fail, and you check AI output as carefully as you'd check a teammate's pull request.
You keep up with the fast-moving AI landscape and like trying new models, tools, and workflows.
Nice to have
Backend experience with Node.js , Scala, and/or Python, plus relational databases, caching, and queues
Experience with Redux, Redux Saga, and/or Zustand
Experience building LLM-powered features, such as streaming UIs, model APIs, prompt design, or evals
Experience with agentic coding workflows, such as running AI agents on multi-step tasks, writing custom rules or context files, or using MCP servers
Perks and Benefits
Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.
Flexible Time Off: We support a versátil vacation policy allowing you to take time off when you need to recharge.
Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.
Global Impact: Join our diverse team that's shaping the future of the creator economy across the globe.
Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions.
We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.
Our Commitment
At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed.
We prioritize attracting diverse talent and fostering an eed access, and non-human identities.Experience with security events, audit logs, network telemetry, or cloud activity data.Familiarity with event-driven and distributed system architectures.Experience deploying AI/ML-enabled applications.Exposure to LLMs, AI agents, or AI-powered security applications .
Solution Architecture or Forward Deployed Engineering experience.Previous experience in cybersecurity startups or high-growth SaaS environments.What Success Looks LikeSuccess in this role will be measured by your ability to:Deliver successful enterprise integrations and deployments.Reduce customer time-to-production.Build reliable and scalable ingestion solutions.Improve customer adoption and technical satisfaction.Resolve complex integration challenges efficiently.Turn customer-specific requirements into reusable platform capabilities.Contribute improvements that strengthen the scalability and flexibility of the core product.What Darwoft OffersContractor agreement with payment in USD100% remote workArgentina's public holidaysEnglish classesReferral programAccess to learning platforms
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📌 Remote Senior Cybersecurity Data Ingestion Engineer (Córdoba)
🏢 Darwoft
📍 Córdoba