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Oportunidades que impulsan el crecimiento profesional

En Poncot conectamos a las empresas con el mejor talento, ofreciendo vacantes especializadas que promueven el desarrollo, la innovación y la estabilidad laboral.

Monterrey, México

Tecnologías de la Información

Senior Cloud Infrastructure & DevOps Engineer

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Sr. Software Engineer

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AI

AI Gateway Platform Engineering

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AI Engineer

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Technology Trends

Sr. Product Software Enginner

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Toluca, México

Software engineering

Full Stack Developer (Java Web & Python)

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Microservices Developer

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Tecnologías de la Información

Business Analyst

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Tecnologías de la Información

Senior Cloud Infrastructure & DevOps Engineer

Objetive

Contribute to the design, deployment, and maintenance of scalable and secure cloud solutions by managing AWS infrastructure, automating key processes, and strengthening DevOps practices. This role focuses on ensuring operational reliability, optimizing system performance, and supporting architectural and modernization initiatives within a highly collaborative environment.

Technical Skills

AWS Infrastructure Management
  • Extensive experience in Kubernetes administration (deployment, troubleshooting, HA, DR).
  • Strong expertise with AWS services: EC2, S3, RDS, VPC, IAM.
  • Hands-on experience implementing DevOps practices and building CI/CD pipelines (Jenkins, Bamboo, AWS CodePipeline).
  • Proficiency with Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
  • Solid understanding of networking concepts and protocols.
  • Automation and scripting skills using Python, Bash, or PowerShell.
  • Experience working with Docker and container orchestration platforms (Kubernetes, Amazon EKS).
  • Strong problem-solving abilities to troubleshoot complex technical issues and support critical incidents.
  • Preferred certifications: Certified Kubernetes Administrator (CKA), AWS Certified DevOps Engineer.

Tecnologías de la Información

Sr. Software Engineer

Objetive

Lead the design, development, and delivery of highly scalable, cloud-based applications within a modern multi-tenant SaaS platform. This role focuses on implementing best-in-class engineering practices, shaping technical standards, and driving high-quality solutions that support global business-critical systems.

Technical Skills

  • 8+ years of programming experience with Web technologies, C#, and Angular, including 3+ years as a senior software engineer or technical lead.

  • 5+ years of experience with ASP.NET Web API / ASP.NET MVC, JavaScript, JSON, and REST.

  • 5+ years developing customer-facing applications.

  • 3+ years developing SPAs using Angular, React, or similar frameworks.

  • Experience with NoSQL databases such as MongoDB or Cosmos DB.

  • Strong knowledge of Microservices and/or SOA architecture.

  • Experience with Azure PaaS/SaaS technologies (App Services, Web Apps, Azure Service Bus, Application Insights).

  • Bachelor’s degree in a STEM field.

AI

AI Gateway Platform Engineering

Objetive

Oversee the creation, implementation, and operation of an enterprise-scale AI Gateway Platform by building secure, scalable, and high-performance infrastructure. This role focuses on intelligent routing, governance, observability, and seamless integration with enterprise systems while supporting optimized AI/LLM workloads across cloud environments.

Technical Skills

  • 5+ years of experience in Platform Engineering or DevOps.

  • Strong programming skills in Go, Python, or Java.

  • Hands-on experience with Kubernetes, Docker, and container orchestration.

  • Proficiency with AWS, Azure, or GCP cloud platforms.

  • Experience working with API gateway technologies and microservices architectures.

  • Solid understanding of networking, security, and distributed systems.

  • Experience integrating AI/ML APIs and understanding LLM technologies and generative AI applications.

IA

AI Engineer

Objetive

Oversee the development, deployment, and optimization of advanced autonomous AI agents and multi-agent systems capable of performing complex tasks, collaborating across environments, and integrating seamlessly with business applications. This role focuses on building scalable agentic workflows, ensuring safety and alignment, and advancing next-generation AI capabilities within enterprise environments.

Technical Skills

  • +3 years of experience working with AI agents, autonomous systems, or related technologies.
  • Strong proficiency in Python and hands-on experience with agent frameworks such as AutoGPT, LangChain, CrewAI, etc.
  • Solid understanding of LLMs, prompt engineering, few-shot learning, and chain-of-thought reasoning.
  • Experience integrating agents with APIs, microservices, databases, and cloud platforms (AWS, Azure, GCP).
  • Knowledge of reinforcement learning, multi-agent systems, and distributed computing.
  • Experience with vector databases, embeddings, and RAG workflows.
  • Ability to design and operate agent monitoring, safety guardrails, and performance tracking systems.

Technology Trends

Sr. Product Software Enginner

Objetive


Lead the architecture, development, and implementation of enterprise-grade generative AI solutions that enhance user experiences and power intelligent product capabilities. This role focuses on building scalable AI systems—including RAG architectures, LLM orchestration, and agentic AI applications—while ensuring reliability, security, and high performance across cloud-based environments.

Technical Skills

  • 5+ years of full-stack development experience with expertise in .NET/C# and strong proficiency in Python.
  • 2+ years of hands-on experience developing production applications powered by LLMs (GPT-4, Claude, Gemini, or open-source models).
  • Proven experience implementing RAG systems with vector databases (Pinecone, Weaviate, Azure AI Search).
  • Strong knowledge of AI/ML frameworks such as Hugging Face Transformers, LangChain, or LlamaIndex.
  • Experience in prompt engineering, model evaluation, and LLM optimization techniques.
  • Solid understanding of front-end technologies including React, TypeScript, and modern UI patterns for AI applications.
  • Experience with Docker, Kubernetes, and cloud platforms (Azure preferred).
  • Ability to work through ambiguity and iterate effectively within non-deterministic AI environments.
  • Excellent communication skills for conveying complex AI concepts across technical and non-technical audiences.
  • Strong problem-solving abilities and creativity in applying AI capabilities.
  • Commitment to responsible AI, ethical development, and governance practices.

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