11 publicaciones de empleo destacadas en engineer python developer (ai) (¡Están contratando!)

Full Stack OSS Developer
Flō Networks —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Informática
- Inglés
Postulación rápida
16h
Analyst Marketing
Mattel —Ciudad de México, CDMX
- Informática
- DevOps
- Maestría
QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce
AppIQ Technologies —México
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Licenciatura
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Solutions Architect
SunnyData —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Senior Mobile Engineer (iOS & Android)
GSB Solutions —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Inglés
- Java
Postulación rápida
Staff Software Engineer
OpenMined —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en bases de datos
- Licenciatura
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Enterprise Solutions Engineer - Mexico
ElevenLabs —México
- Tiempo completo
- Home Office (Desde casa)
- Desarrollo de software
- Python
Sales Engineer (Developer-Focused)
Workana —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- JavaScript
- Python
Postulación rápida
Deployment Strategist - LATAM
ElevenLabs —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- Python
Senior Devops Engineer - AWS & Azure
Jalasoft —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Java
Postulación rápida
Deployment Strategist - Mexico
ElevenLabs —México
- Tiempo completo
- Home Office (Desde casa)
- Experiencia en ventas
- Python

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Full Stack OSS Developer

Flō Networks -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 16 horas

Cualificaciones

Bilingüe
Desarrollo de tableros
Derecho
Informática
Ingeniería de software
React
Plurilingüe
OSPF
Git
Inglés
Google Cloud Platform
SQL
DHCP
Docker
Licenciatura
JavaScript
BGP
DNS
MPLS
Linux
Kafka
Flask
Ingeniería de redes
Jenkins
TypeScript
Python

Descripción completa del empleo

Flō Networks is a leading provider of telecommunications services between the US and Mexico. We provide voice and data services to Fortune 1000 companies, telecommunications, and cable companies over a fiber optic network that spans over 35,000 km between both countries.

We have an immediate need for a Full Stack OSS Developer. This hybrid position will be based in Ciudad Juarez, or Mexico City, Mexico.

The Role:

We are looking for a Full Stack OSS Developer to join our Operations Support Systems and Engineering team. This is a hands-on engineering role at the intersection of software, data, and networking. You will build internal platforms, dashboards, and automation that directly impact NOC operations, service provisioning, and network reliability across our backbone.

The Responsibilities:

Design and ship internal web applications and dashboards for NOC operators, network engineers, and business stakeholders, using React/Next.js connected to real-time data sources.
Build and maintain back-end services and APIs (FastAPI) that integrate OSS systems, Source of Truth, ticketing, and network controllers.
Develop and extend our ClickHouse + dbt analytics platform: ingestion pipelines, materialized views, and KPI models for network events, service availability, and performance.
Operate streaming pipelines for telemetry and logs (gNMIc, Vector, Redpanda) feeding ClickHouse and Grafana.
Automate routine and complex operational tasks — configuration audits, drift detection, provisioning workflows — across a multi-vendor environment.
Build and maintain workflow automations that connect internal systems, third-party APIs, and notification channels.
Partner with network engineering and the NOC on incident analysis: writing queries, building correlation views, and turning recurring manual investigations into reusable tooling.
Contribute to AI-assisted operations: sentiment and intent classification on support tickets, conversational agents, anomaly detection, and LLM-based assistants for internal users.
Document your work, write tests where they matter, and review peer contributions in Git.

The Requirements:

Bachelor's degree in Computer Science, Telecommunications, Software Engineering, or related field — or equivalent demonstrable experience and portfolio.
3 to 5 years of professional experience in software, data, or network engineering roles.
Python (FastAPI or Flask) and TypeScript/JavaScript (React or Next.js) as primary languages. Comfort writing production-quality, testable, documented code.
ClickHouse hands-on experience: writing performant SQL, designing tables with appropriate MergeTree engines (ReplacingMergeTree, SummingMergeTree, AggregatingMergeTree) dbt for analytics modeling (staging and marts), including incremental models and tests.
Streaming and messaging: Kafka or Redpanda (Cloud or self-hosted), plus integration patterns such as ClickPipes, connectors, or consumer services.
Observability stack: Grafana dashboard development (templating, variables, transformations) and one of Prometheus, OpenTelemetry, or an equivalent telemetry pipeline.
Linux, Docker, Git in daily use. Familiarity with at least one CI/CD system (GitHub Actions, GitLab CI, or Jenkins).
REST API design and microservices fundamentals, including JSON modeling, authentication patterns, and webhook integrations.
Networking fundamentals: IP, VLANs, ARP, DNS, DHCP, LACP, plus working understanding of routing protocols (BGP, OSPF, ISIS) at a conceptual level.
Network telemetry tooling: gNMIc, SNMP polling (AKiPS, NetXMS, or similar), Vector for syslog ingestion, and streaming pipelines into ClickHouse.
Workflow automation: n8n, Windmill, or comparable low-code orchestration platforms — used in production, not just prototypes.
Network automation libraries: Nornir, NAPALM, Netmiko, or Ansible in multi-vendor environments.
AI/ML applied to operations: exposure to LLMs (local or API), embeddings, transformer-based classification (e.g., sentiment or intent), or agent frameworks. Familiarity with MCP (Model Context Protocol) and tool-calling patterns is a plus.
Cloud and on-prem infrastructure knowledge: GCP (Cloud Run, GCS, VPC) and Proxmox / LXC for on-prem workloads.
Conceptual understanding of MPLS, ISIS, BGP, SR-MPLS, and L2/L3 VPN services.
Fully bilingual (English and Spanish).

Privacy notice: Flō Networks does not use the personal information of job applicants for any purpose other than strictly the recruitment process.

Postulación rápida

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engineer python developer (ai) empleos

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Deployment Strategist - LATAM

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Deployment Strategist - Mexico

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