Describe Infrastructure as Code (Terraform, Ansible)
Develop infrastructure for data science and ML workflows (e.g., Databricks, Posit)
Collaborate with cross-functional teams and advise clients on architecture and best practices
Lead documentation efforts and internal technical initiatives
Work on one or more client projects
as consultants, we usually work on one main project at a time, with occasional context switching across client engagements
Requirements
You’re a mid-senior Platform/Cloud Engineer with:
4+ years of experience in cloud/platform/infrastructure roles
Proven track record leading at least one technical solution implementation
Expertise in AWS (required), Kubernetes (required), and Linux systems
Know-how in Infrastructure as Code (Terraform, Ansible) and scripting (Python, bash)
Experience working in CI/CD environments
Strong consulting profile
capable of understanding client needs and providing tailored solutions
Fluent English (C1 minimum) and self-organization skills to thrive in a remote-first setup.
Tech Stack
Ansible
AWS
Azure
Cloud
Kubernetes
Linux
Python
Switching
Terraform
Benefits
A fully remote role within Europe, with flexible working hours that support focus, autonomy, and effective collaboration across teams and clients.
A mid–senior platform engineering role with real ownership
you design, build, and evolve cloud platforms that support data science and ML workflows in regulated life sciences environments.
Meaningful work on real client projects, typically with one main engagement at a time, allowing you to go deep rather than constantly context switch.
A strong consulting setup: close collaboration with cross-functional teams and the opportunity to advise clients on architecture, best practices, and long-term platform decisions.
Competitive B2B compensation aligned with your experience and impact, with clear and transparent terms.
A transparent growth framework and defined career paths that support long-term development as a platform engineer.
Time and budget for continuous professional development, including certifications, courses, and industry learning.
Modern equipment (MacBook or ThinkPad with Linux) and tools that enable efficient, high-quality engineering work.
A remote-first culture built on trust, ownership, and collaboration, where delivery excellence goes hand in hand with mutual respect and strong team relationships.