Platform Engineer (P4)

Jobgether; Portugal; Remote; EUR 32,000 - 46,000; Full time

Benefits offered by this job

Fully remote position across Europe

Flexible hours for distributed teams

Competitive B2B compensation €2,900-€4

Budget for professional development

Modern hardware (MacBook/ThinkPad)

Remote‑first culture

Job summary

Jobgether is seeking a Platform Engineer (P4) to design, automate, and operate scalable cloud environments across AWS and Azure, with a strong focus on data science workflows. This mid-senior role blends hands-on cloud engineering with client-facing consulting, mostly remote in Europe.

You will own infrastructure as code with Terraform and Ansible, manage Kubernetes/Linux environments, and lead or contribute to technical solutions for one primary client at a time.

Qualifications

• 4+ years of professional cloud/platform/infrastructure engineering experience.
• Led at least one significant infrastructure project from design to delivery.
• Strong hands-on AWS expertise.
• Kubernetes and Linux systems expertise.
• Infrastructure as Code with Terraform and Ansible.
• Scripting in Python and Bash.
• Experience with CI/CD pipelines and modern DevOps.
• Experience with data science/machine learning workloads is relevant.
• Strong consulting, communication and stakeholder skills.
• Fluent English at C1 level or higher.

Responsibilities

• Design, build, and maintain scalable cloud environments across AWS and Azure.
• Develop and evolve platform infrastructure for data science workflows (Databricks, Posit).
• Automate development and deployment with CI/CD tooling (GitHub Actions, Azure DevOps, ArgoCD, GitLab CI).
• Manage Infrastructure as Code with Terraform and Ansible.
• Operate Kubernetes and Linux systems; develop automation using Python/Bash.
• Lead or contribute to technical solutions from architecture through delivery.
• Collaborate with cross-functional teams to translate requirements into platform solutions.
• Advise clients on cloud architecture, security, scalability and long-term strategy.

Skills

Cloud engineering

Platform engineering

Automation

Scripting

Tools

AWS

Kubernetes

Linux

Terraform

Ansible

Python

Bash

GitHub Actions

Azure DevOps

ArgoCD

GitLab CI

Job description

Platform Engineer (P4)

Salary : €2,900 - 4,100 monthly

Empresa : Jobgether

Tipo de Emprego : Periodo Integral

Remote / Work from Home

JobCopilot will tailor your resume and auto-fill the application

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Platform Engineer (P4) based in Portugal.

This is a mid-senior platform engineering role focused on building reliable, scalable cloud environments that power data science and machine learning workflows. You’ll design, automate, and evolve infrastructure used by global organizations working on complex, data-intensive projects. The role combines hands-on cloud and infrastructure engineering with a strong consulting mindset and meaningful client interaction. You’ll work primarily on one client engagement at a time, allowing you to develop deep technical context while occasionally contributing across other projects. You’ll collaborate with engineers, data scientists, and business stakeholders to turn requirements into robust technical solutions and advise on architecture and best practices. The position offers significant ownership, with opportunities to lead technical implementations and contribute to internal standards, documentation, and engineering initiatives. Working fully remotely across Europe, you’ll join a trust-based environment where autonomy, technical excellence, and continuous learning are strongly encouraged.

Accountabilities

• Design, build, and maintain scalable cloud environments across AWS and Azure, with a primary focus on AWS.
• Develop and evolve reliable platform infrastructure supporting data science and machine learning workflows, including technologies such as Databricks and Posit.
• Automate development and deployment processes using modern CI/CD and DevOps tooling, including GitHub Actions, Azure DevOps, ArgoCD, and GitLab CI.
• Define and manage Infrastructure as Code using tools such as Terraform and Ansible to ensure infrastructure remains consistent, repeatable, and maintainable.
• Configure, operate, and optimize Kubernetes-based environments and Linux systems.
• Develop automation and operational tooling using Python, Bash, and other appropriate scripting technologies.
• Lead or contribute significantly to the implementation of technical solutions, taking ownership from architecture and design through delivery and ongoing improvement.
• Collaborate with cross-functional teams to understand technical and business requirements and translate them into practical platform solutions.
• Advise clients on cloud architecture, infrastructure design, DevOps practices, security, scalability, and long-term platform strategy.
• Work primarily on one main client project at a time, maintaining deep engagement while supporting occasional context switching when business needs require it.
• Contribute to technical documentation, internal engineering initiatives, reusable practices, and knowledge sharing across the platform team.

Requirements

• 4+ years of professional experience in cloud engineering, platform engineering, infrastructure engineering, or a closely related discipline.
• Demonstrated experience leading at least one significant technical solution or infrastructure implementation from design through delivery.
• Strong hands‑on expertise with AWS, which is required for the role.
• Strong practical knowledge of Kubernetes and Linux systems.
• Experience with Infrastructure as Code, particularly Terraform and Ansible.
• Strong scripting and automation capabilities using Python and Bash.
• Professional experience working with CI/CD pipelines and modern DevOps practices.
• Understanding of cloud-native architecture, automation, scalability, reliability, and infrastructure management.
• Experience supporting data science, machine learning, analytics, or other data-intensive workloads is highly relevant.
• Strong consulting skills, with the ability to understand client objectives, ask the right questions, and recommend solutions tailored to specific technical and business needs.
• Strong communication and collaboration skills, with the ability to work effectively with technical and non‑technical stakeholders.
• Fluent English at C1 level or higher, both written and spoken.
• High degree of self‑organization and autonomy, with the ability to manage priorities effectively in a fully remote environment.
• A proactive, ownership‑oriented approach and genuine interest in continuous technical development.
• Ability to provide a valid government‑issued ID or passport as required to complete the hiring process.

Benefits

• Fully remote position within Europe, with the flexibility to work from your home country.
• Flexible working hours designed to support autonomy, focused work, and effective collaboration across distributed teams and clients.
• Competitive B2B compensation of approximately €2,900-€4,100 per month, depending on experience and impact.
• Meaningful ownership of cloud platforms supporting data science and machine learning workflows in complex and regulated life sciences environments.
• Opportunity to work on substantial client projects, typically with one primary engagement at a time.
• Strong consulting environment with direct exposure to client architecture decisions and long‑term technical strategy.
• Transparent career framework with defined opportunities for professional progression.
• Dedicated time and budget for continuous professional development, including certifications, courses, and industry learning.
• Modern engineering equipment, including a MacBook or ThinkPad with Linux.
• Remote‑first culture centered on trust, ownership, collaboration, and delivery excellence.
• Opportunity to work alongside experienced specialists across cloud engineering, data science, software development, and related technical disciplines.