Location: LATAM
Work Model: 100% Remote
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
Engagement: Full-time
143L - Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM
Location: LATAM
Work Model: 100% Remote
Project: Identity Security / Cybersecurity Platform
Seniority: Senior
English Level: B2 / C1
Engagement: Full-time
Get to Know Darwoft
At 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 Project
We 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 Role
We'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 Doing
Design, 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 SIEithin a single SaaS product.What makes this opportunity particularly different is the way the engineering team builds software.
The product has been developed using an AI‐native engineering approach, with tools such as Claude Code, OpenAI Codex, and other AI coding agents deeply integrated into the development workflow.We're looking for a highly experienced Senior / Staff Software Engineer who can combine strong software engineering fundamentals with this new way of building software.
This is not a traditional AI/ML Engineer role.You won't be training machine learning models or working primarily on Data Science.
Instead, you'll be engineering production software, navigating a large existing codebase, making architectural decisions, improving reliability, and using AI coding agents to dramatically increase development velocity.The idóneo person is a builder first: highly technical, pragmatic, product‐oriented, low‐ego, and comfortable taking ownership of complex systems.What You'll Be DoingNavigate, understand, and evolve a large existing production codebase.Design and implement new product capabilities across a complex SaaS platform.Make pragmatic architectural and system design decisions as the product continues to scale.Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.Build and evolve backend services, APIs, integrations, data models, and application workflows.Contribute across the application stack when needed.Strengthen automated testing, maintainability, observability, reliability, and production readiness.Improve development workflows, tooling, automation, and engineering practices.Troubleshoot complex issues across application, data, and infrastructure layers.Balance development speed with software quality and long‐term maintainability.Work closely with product leadership to translate business problems into effective technical solutions.Help a small engineering team achieve significantly greater development leverage through AI‐assisted engineering.What You BringStrong professional experience building and operating production software systems.Excellent software engineering fundamentals, including architecture, system design, debugging, testing,



and maintainability.Experience working with large or complex existing codebases.Strong backend or full‐stack engineering experience using modern programming languages and frameworks.Experience building modern web applications and SaaS products.Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems.Experience with relational databases and production data environments.Strong understanding of automated testing and modern software development practices.Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.Ability to reason through technical trade‐offs and make pragmatic architectural decisions.Strong ownership and ability to work independently in an evolving product environment.Product mindset: you understand not only how to build something, but also why it should be built.AI‐Native Engineering ExperienceHands‐on experience using AI development tools is especially important for this position.We're particularly interested in engineers who actively use tools such as:Claude CodeOpenAI CodexCursorGitHub CopilotWindsurfOther AI coding agents or agentic development toolsMore importantly, we're looking for someone who uses AI beyond code completion.You should be comfortable using AI to:Understand unfamiliar codebases.Investigate architecture and dependencies.Design implementations.Generate and refactor production code.Debug complex issues.Create and improve automated tests.Review code and identify potential issues.Automate repetitive engineering tasks.Acceleratehentication, authorization, credentials, service accounts, privileged 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 Like
Success 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 Offers
Contractor agreement with payment in USD
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms
Explore this and other opportunities at:
Ingeniero Civil Senior (Field Manager) - San Juan/Argentina
#J-*****-Ljbffr

📌 Remote Senior Cybersecurity Data Ingestion Engineer (Rosario)
🏢 Darwoft
📍 Rosario