(Senior) Cloud Engineer

HCON; Lisboa; Remote; EUR 50,000 - 85,000; Full time

Job summary

HCON in Lisbon is seeking a skilled Senior Cloud Engineer to productionize ML solutions. You will design and maintain scalable cloud infrastructures and robust MLOps pipelines to keep models running reliably in production.

Work with data scientists to bridge model development and deployment using IaC, containers, and CI/CD. This remote-friendly role spans EU clients and varied industries, offering growth and cutting-edge challenges.

Qualifications

• Experience with major cloud platforms (AWS, Azure, or GCP).
• Proficiency in Infrastructure-as-Code tools (Terraform, CloudFormation, or Pulumi).
• Hands-on experience with container technologies (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience with monitoring and logging solutions (Prometheus, Grafana, ELK stack).
• Scripting skills in Python, Bash, or similar languages.

Skills

Cloud platforms

Infrastructure as Code

Containerization

CI/CD

Monitoring

Scripting

Tools

Terraform

CloudFormation

Pulumi

Docker

Kubernetes

Prometheus

Grafana

ELK Stack

Python

Bash

Job description

Job Details

(Senior) Cloud Engineer

Lissabon, Portugal

Job Type: Full Time

Workspace: Remote

About the Role

We are seeking a talented Cloud Engineer to join our growing team and play a crucial role in productionizing machine learning solutions for our clients. As a Cloud Engineer at HCON, you will be responsible for designing, implementing, and maintaining scalable cloud infrastructures that support robust MLOps pipelines. You'll work at the intersection of cloud technologies and machine learning operations, ensuring our clients' AI models run reliably and efficiently in production environments.

Your primary focus will be on building and optimizing cloud-native architectures using modern DevOps practices, container orchestration, and infrastructure-as-code principles. You'll collaborate closely with our data scientists and MLOps specialists to create seamless deployment workflows that bridge the gap between model development and production deployment.

This role offers the unique opportunity to work on cutting-edge MLOps projects across various industries, from fintech to IoT, while being part of a team that truly understands both the mathematical foundations of ML and the engineering challenges of scalable systems.

Requirements

Essential Skills

• Strong experience with major cloud platforms (AWS, Azure, or GCP)
• Proficiency in Infrastructure-as-Code tools (Terraform, CloudFormation, or Pulumi)
• Hands-on experience with container technologies (Docker, Kubernetes)
• Knowledge of CI/CD pipelines and DevOps practices
• Experience with monitoring and logging solutions (Prometheus, Grafana, ELK stack)
• Scripting skills in Python, Bash, or similar languages

Preferred Qualifications

• Experience with MLOps tools and workflows (MLflow, Kubeflow, or similar)
• Knowledge of data pipeline orchestration tools (Airflow, Prefect)
• Understanding of machine learning model deployment patterns
• Experience with service mesh technologies (Istio, Linkerd)
• Familiarity with security best practices in cloud environments

Soft Skills

• Strong problem-solving abilities and analytical thinking
• Excellent communication skills in English (German is a plus)
• Collaborative mindset and ability to work in cross-functional teams
• Passion for learning new technologies and staying current with industry trends

About The Company

HCON is a Hamburg-based consultancy specializing in ML/AI, Operations, and Cloud Engineering. Our mission is simple yet powerful: We productionize ML. We bridge the critical gap between data science innovation and practical implementation, helping companies transform their machine learning prototypes into robust, scalable production systems.

Founded with the vision of being the essential interface between data science and engineering, we combine deep mathematical understanding with hands‑on engineering expertise. Our team speaks both the language of data scientists and operations engineers, translating complex algorithms into reliable, maintainable cloud infrastructures.

Working closely with specialized partners across the EU, we deliver comprehensive MLOps solutions that don't just work today, but scale and adapt for tomorrow's challenges. At HCON, every team member plays a vital role in making AI accessible and actionable for businesses across various industries.

Join us in shaping the future of machine learning operations, where your cloud engineering expertise will directly contribute to bringing innovative AI solutions to life.