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Linero

Operational AI infrastructure for sensitive technologies

Systems Integration Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 4 years of experience in enterprise integrations, solutions engineering, or backend engineering with a heavy integrations focus.
  • Demonstrated experience with ETL: extracting, transforming, and loading data across heterogeneous enterprise systems at scale.
  • Deep familiarity with enterprise systems, including ERPs such as SAP, Oracle, and NetSuite, SaaS platforms, and custom internal tooling.
  • Experience building integration frameworks or connector architectures that scale across multiple customers and systems.
  • Strong API design and development skills, including REST, GraphQL, webhooks, EDI, or similar.
  • Ability to work directly with enterprise customers in a technical capacity, including running scoping calls and writing code.
  • Based in or willing to relocate to New York City.
  • Must be a U.S. person as defined under applicable U.S. law: a citizen, lawful permanent resident, refugee, or asylee, because the role requires access to export-controlled information.

Responsibilities

  • Design and build a scalable integration framework that supports deep workflow embedding across diverse enterprise environments.
  • Own end-to-end ETL pipelines, extracting data from complex enterprise sources, transforming it to meet Linero's data model requirements, and loading it reliably into the platform.
  • Build and maintain connectors across enterprise systems, including ERPs, SaaS platforms, internal APIs, and proprietary tooling.
  • Lead technical execution of integrations with enterprise customers, from discovery and scoping through deployment and handoff.
  • Work closely with Forward Deployed Engineers to ensure integrations are executed consistently and efficiently across customer sites.
  • Partner with platform and backend teams to ensure the integration layer is robust, maintainable, and extensible.
  • Establish integration standards, documentation, and playbooks that enable the team to scale without sacrificing quality.
  • Serve as the internal expert on enterprise systems architecture and connect with systems across large organizations.

Desired Qualifications

  • Experience managing complex, concurrent integration projects across multiple enterprise accounts.

About the Company

Linero

Operational AI infrastructure for sensitive technologies

Linero provides operational infrastructure to control access to sensitive technologies, built as an AI-native platform that runs an intelligence layer inside clients’ private environments. Its core product uses Retrieval-Augmented Generation to reason over confidential enterprise data without exposing it to public APIs and orchestrates fleets of AI agents to process internal documents and monitor external signals, with domain-specific model fine-tuning for accuracy. The company differentiates itself by offering governance-focused, in-house AI capabilities designed for national-security–sensitive use cases and by integrating with existing enterprise systems, while expanding from large enterprises to thousands of startups in AI, defense tech, and related fields. Linero’s goal is to ensure consequential technologies reach the right hands and are protected from misuse through controlled access and robust AI governance across industrial and national-security domains.

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