Senior Backend Engineer - Python/Java, AI-Driven, Remote

Lever, Inc.

La Pampa

A distancia

ARS 167.277.000 - 243.313.000

Jornada completa

hace 39 horas
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Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in
USD payment
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Descripción de la vacante

Prometeo Talent is partnering with a fast-growing US-based cybersecurity startup seeking a Senior Backend Engineer. The role focuses on designing and building scalable backend systems using Python and Java, with strong emphasis on AI-assisted development workflows and ownership in a high-growth startup.

100% remote with LATAM flexibility, and a focus on identity security platforms. The ideal candidate will lead backend design, build distributed services, and collaborate across product and

Formación

  • 8+ years of experience in software engineering or backend development.
  • 5+ professional experience with Python, building and maintaining production-grade backend systems.
  • Strong experience with Java.
  • Hands-on experience with AI/LLM-based application development (AI agents, agentic systems, or LLM-powered applications).
  • Experience building AI-driven features, LLM integrations, or agentic workflows in production environments is highly preferred.
  • Solid understanding of distributed systems, scalable architectures, and asynchronous processing.
  • Experience working with databases, message queues, and data processing pipelines.
  • Hands-on experience with Docker and Kubernetes in production environments.
  • Proven experience building, maintaining, optimizing, and improving products after launch.
  • Strong ownership mindset, autonomy, and ability to thrive in startup or fast-paced environments.
  • Advanced English level

Responsabilidades

  • 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 SIEM systems.
  • Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
  • Participate in technical onboarding processes from 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.

Conocimientos

Python
Java
AI/LLM development
Distributed systems
Ownership mindset
English proficiency

Herramientas

Docker
Kubernetes
REST APIs
SQL/NoSQL
Cloud platforms (AWS/Azure/GCP)

Descripción del empleo

Prometeo Talent is partnering with a fast-growing US-based cybersecurity startup seeking a Senior Backend Engineer. The role focuses on designing and building scalable backend systems using Python and Java, with strong emphasis on AI-assisted development workflows and ownership in a high-growth startup.

100% remote with LATAM flexibility, and a focus on identity security platforms. The ideal candidate will lead backend design, build distributed services, and collaborate across product and

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