6 publicaciones de empleo destacadas en devops engineer (observability) (¡Están contratando!)

Sr. Backend Engineer (Golang)
Unpack Holdings Limited —México
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- SQL
- Matemáticas
Postulación rápida
13d
Kubernetes DevOps Specialist
Arcadion —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Experiencia en bases de datos
Postulación rápida
12h
Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
11h
Software Engineer – Automation & Observability
Epicor —Monterrey, N. L.
- Tiempo completo
- Azure
- DevOps
- ERP systems
8h
Backend Software Engineer
SCIGON —Ciudad de México, CDMX
- $22 a $30 por hora
- Azure
- Administración de personal
- DevOps
Postulación rápida
16h
Senior Software Engineer (ReactJS)
Magmalabs —México
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
Postulación rápida
11h

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Sr. Backend Engineer (Golang)

Unpack Holdings Limited
México

Postulación rápida

Información del empleo

Tiempo completo
Hace 13 días

Cualificaciones

Modelado de datos
Go
Node.js
Ingeniería de software
Kubernetes
Plurilingüe
DevOps
NoSQL
Google Cloud Platform
MongoDB
SQL
Matemáticas
Docker
JavaScript
PostgreSQL
Redis
Limpieza
Kafka
GraphQL
TypeScript
MySQL

Descripción completa del empleo

The Mission

We are looking for a heavy-hitting Senior Backend Engineer who thrives at the absolute intersection of distributed systems architecture, heavy DevOps ownership, and cutting-edge AI engineering.

This is not a role for someone who simply writes code against a checklist. We are scaling a high-throughput, event-driven ecosystem built on Golang, Node.js, and Kafka, and we need a system architect to take full ownership of our backend services and clear out our cloud infrastructure tech debt. You will be responsible for keeping our Google Cloud Platform (GCP) and containerized environments pristine, secure, and highly optimized.

Furthermore, you will help spearhead our advanced automation layers, using your deep understanding of analytic datasets, strong mathematical principles, and agentic AI workflows. If you have a true builder's grit, an obsession with clean infrastructure, and love working with modern data and AI patterns, this role was built for you.

Key Responsibilities

High-Throughput Backend Architecture: Design, optimize, and maintain mission-critical backend microservices utilizing Golang as the primary language, supplemented by Node.js (TypeScript).
Infrastructure & DevOps Ownership: Directly tackle our infrastructure tech debt. Own, clean up, and systematically scale our Google Cloud Platform (GCP) environment, ensuring robust orchestration via Kubernetes and Docker.
Event-Driven & Data Streaming: Evolve our highly event-driven architecture using Kafka to handle massive asynchronous workflows and high-volume data pipelines safely.
Advanced Data & Math Analytics: Leverage a strong mathematical background to design database schemas, query abstractions, and ingestion pipelines across SQL (PostgreSQL/MySQL), MongoDB, and Redis.
Agentic AI & Meta-Prompting: Architect and implement complex AI-powered systems, agentic workflows, and meta-prompting frameworks that drive core product automation.
API Systems Design: Design, secure, and document robust GraphQL and RESTful APIs capable of serving a global, highly active user base.

Requirements

Dual-Language Polyglot: 5+ years of deep backend experience with elite proficiency in Golang and strong core capabilities in JavaScript/TypeScript (Node.js).
Distributed Systems Mastery: Proven experience architecting asynchronous, event-driven microservices using Kafka or equivalent high-scale message brokers.
GCP & Containerization Blueprint: Deep hands-on experience spinning up, maintaining, and cleaning cloud infrastructure within Google Cloud Platform (GCP) alongside Kubernetes and Docker.
Multi-Paradigm Database Skills: Advanced understanding of data modeling, scaling, and indexing across NoSQL (MongoDB, Redis) and relational SQL environments.
Mathematical & Analytical Rigor: Strong quantitative, mathematical, or data-science foundational skills to comfortably handle analytical data layer calculations.
AI & Agentic Framework Fluency: Real-world experience working with LLMs, programming autonomous agentic workflows, and managing advanced meta-prompting strategies.

Preferred Qualifications

Experience working in high-growth startup environments within gaming, Web3, fintech, or high-volume consumer tech.
Deep knowledge of observability and monitoring suites (Datadog, Prometheus, Grafana) to build infrastructure safety nets.
Alignment with EST/Eastern Europe business hours for high-bandwidth engineering communication.

Benefits

Why Join Us?

We offer more than just a standard software engineering seat; we offer the runway to drive the technical destiny of a global powerhouse.

Extreme Architectural Sovereignty: We value raw execution, system health, and clean code over bureaucratic red tape. If your design framework is robust and ready, you deploy it.
A Culture of High-Talent Momentum: Work alongside a highly competent, autonomous team that moves at lightspeed, actively supports your professional growth, and celebrates breakthroughs.
High-Growth Upside: We value "potential over pedigree." For a Senior Software Engineer who takes relentless ownership of end-to-end problems and systematically scales our platform's capacity, there is a clear, unrestricted runway into senior architecture and engineering leadership.

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