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Mid-level Cloud

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**Job Title**: Mid-Level Cloud & ML Infrastructure Engineer
**Location**: Remote or Hybrid (Guadalajara)
**Employment Type**: Full-time
**Experience**: 3-5 years

**About the Role**:
We are seeking a **Mid-Level Cloud & ML Infrastructure Engineer** to design and maintain **AWS-native systems** for ML model training, validation, and deployment. This role bridges DevOps and ML, ensuring automation, monitoring, and scalable performance.

**Key Responsibilities**:

- Deploy and manage AWS services for ML workflows (S3, Lambda, API Gateway, DynamoDB).
- Build CI/CD pipelines for ML packaging and deployment.
- Develop serverless apps and APIs for model integration.
- Implement IaC with AWS CDK.
- Collaborate with ML engineers to deploy models to staging and production.
- Optimize cost and performance of AWS compute/storage.
- Monitor with CloudWatch and maintain observability.

**Required Skills**:

- 3+ years in AWS infrastructure (S3, Lambda, API Gateway, IAM, DynamoDB).
- Experience building ML pipelines in cloud.
- Proficient in **Python** (or similar) for scripting and automation.
- Strong CI/CD knowledge.
- Familiarity with relational (Postgres/MySQL) and NoSQL (DynamoDB) databases.

**Nice to Have**:

- Robotics CI/CD, OTA updates (IoT Core, Greengrass).
- Experience with Linux internals and compliance automation.
- ROS 2 familiarity for robotic development.
- Multi-environment (dev/staging/prod) management.

**How to Apply**:
Tipo de puesto: Tiempo completo

Sueldo: $55,000.00 - $65,000.00 al mes

Lugar de trabajo: remoto híbrido en 44160, Americana, Jal.