Cloud Platform Engineer

Jobgether; Belgique; Remote; EUR 70,000 - 100,000; Full time

Benefits offered by this job

100% remote work

International career opportunities

Health insurance

Job summary

Jobgether is partnering with a Belgium-based opportunity for a Cloud Platform Engineer. You will design and operate Azure-centric cloud infrastructure enabling AI apps, data products, and scalable deployments in a multinational context.

You will build reusable IaC modules, automated pipelines, and observability frameworks, with CI/CD, security, and cost controls at the forefront. Strong collaboration with AI engineers and IT teams across countries is essential.

Qualifications

• Proven hands-on experience deploying cloud-native apps on Azure
• Experience with IaC, CI/CD, containers, monitoring and logging
• Strong Python and SQL; TypeScript is a plus
• Understanding of data engineering, ETL, data pipelines
• Knowledge of cloud architecture, APIs and event-driven design
• Familiarity with AI-assisted coding tools
• Fluent English; strong communication across diverse teams
• Proactive, analytical mindset focused on automation and reliability

Responsibilities

• Design, build, and maintain cloud-native infrastructure for AI applications using Azure; AWS when needed
• Develop IaC modules, deployment templates, and observability patterns
• Automate provisioning, CI/CD, monitoring, logging, secrets management, and cost controls
• Contribute to cloud architecture decisions for AI-powered workflows and data platforms
• Implement and maintain cloud security standards (IAM, encryption, resilience)
• Establish monitoring, alerting, troubleshooting, and operational practices for availability
• Collaborate with country IT teams and cross-functional stakeholders to onboard cloud environments
• Support transition of AI/data solutions to production-ready environments
• Apply DevSecOps, platform engineering, and SRE principles for automation and reliability
• Leverage AI-assisted tools to improve productivity and delivery workflows

Skills

Azure cloud

AWS exposure

IaC

CI/CD

Python

SQL

TypeScript (adv)

Data pipelines

Cloud security basics

English communication

GitHub Copilot usage

Tools

Terraform

Azure DevOps

GitHub Copilot

Snowflake

LangChain

MCP

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Cloud Platform Engineer based in Belgium.

As a Cloud Platform Engineer, you will design, build, and operate scalable cloud infrastructure that enables AI applications, intelligent agents, and data products to move from prototype to production. You will join a central AI team supporting a major international logistics organization, contributing to cloud-native solutions across multiple countries. With a primary focus on Microsoft Azure and exposure to AWS, you will develop reliable infrastructure, deployment workflows, and observability frameworks that accelerate innovation. You will collaborate with AI engineers, data specialists, and international IT teams to establish secure, automated, and cost-efficient cloud environments. Your work will help streamline infrastructure provisioning, strengthen operational resilience, and enable the adoption of advanced AI-driven solutions at scale. This remote opportunity is ideal for a technically strong engineer who enjoys platform automation, cloud architecture, and solving complex challenges in a collaborative, international environment.

Accountabilities

• Design, build, and maintain cloud-native infrastructure supporting AI applications, intelligent agents, APIs, data pipelines, and data products, primarily using Microsoft Azure and, where required, AWS.
• Develop reusable infrastructure-as-code modules, deployment templates, and observability patterns to standardize cloud environments and accelerate development.
• Automate infrastructure provisioning, continuous integration and continuous delivery (CI/CD), monitoring, logging, secrets management, and cloud cost controls.
• Contribute to cloud architecture decisions for AI-powered workflows, agentic systems, event-driven services, and modern data platforms.
• Implement and maintain cloud security standards covering identity and access management, encryption, resilience, and secure infrastructure configuration.
• Establish reliable monitoring, alerting, troubleshooting, and operational practices to improve platform availability, performance, and maintainability.
• Collaborate with country-level IT teams and cross-functional stakeholders to onboard cloud environments, resolve deployment issues, and scale successful use cases across international operations.
• Support the transition of AI and data solutions from development and experimentation into secure, scalable, production-ready environments.
• Apply DevSecOps, platform engineering, and site reliability engineering principles to improve automation, consistency, and operational efficiency.
• Leverage AI-assisted development tools to improve engineering productivity, code quality, and infrastructure delivery workflows.

Requirements

• Proven hands-on experience developing, deploying, and operating cloud-native applications and infrastructure, ideally with strong expertise in Microsoft Azure and practical exposure to AWS.
• Solid experience with infrastructure as code (IaC), CI/CD pipelines, container technologies, cloud automation, monitoring, and logging solutions.
• Strong programming skills in Python and SQL, with familiarity with TypeScript considered an advantage.
• Understanding of data engineering fundamentals, including ETL processes, data pipelines, storage solutions, and system integrations.
• Knowledge of cloud architecture, distributed systems, API-based services, and event-driven application design.
• Familiarity with cloud security best practices, including identity management, access controls, encryption, and resilient infrastructure design.
• Experience working with cross-functional and geographically distributed teams, with the ability to collaborate effectively across technical disciplines and international locations.
• Comfortable using AI-powered coding assistants such as GitHub Copilot, Cursor, or similar tools to enhance development workflows.
• Fluency in English, with strong communication skills and the ability to explain technical concepts and collaborate with stakeholders from different backgrounds.
• A proactive, analytical mindset, with strong troubleshooting abilities and a commitment to automation, continuous improvement, and reliable engineering practices.

Additional assets that would be advantageous:

• Experience with Snowflake, Azure AI Foundry, LangChain, Model Context Protocol (MCP), or comparable AI development and integration tools.
• Familiarity with DevSecOps methodologies, platform engineering, and site reliability engineering (SRE) practices.
• Relevant cloud certifications, particularly in Azure or AWS.
• Experience developing frontend applications, internal developer portals, or self-service infrastructure platforms.

Benefits

• 100% remote work: Enjoy the flexibility to work remotely in an environment that supports your productivity and work-life balance, subject to employment and location eligibility.
• International career opportunities: Collaborate with distributed teams and contribute to projects across multiple countries and international markets.
• Professional development: Expand your expertise in cloud infrastructure, AI platforms, data engineering, and modern software delivery practices.
• Collaborative work environment: Join a dynamic, professional team that values technical excellence, innovation, knowledge sharing, and teamwork.
• Health insurance: Access health insurance benefits, subject to applicable employment terms and local eligibility.
• Life insurance: Benefit from life insurance coverage, subject to the applicable policy and eligibility conditions.
• Visa support: Potential assistance with work authorization through an eligible Tech Visa arrangement, where applicable. Specific eligibility for candidates based in India should be confirmed during the hiring process.
• Exposure to emerging technologies: Work on cloud foundations that support AI agents, data products, and advanced digital solutions in a large-scale international environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.