Platform Engineer (P4)

Stack

Responsibilities

• ▹Build and maintain scalable cloud environments (AWS, Azure) for data-driven projects
• ▹Automate DevOps processes (GitHub Actions, Azure DevOps, ArgoCD, GitlabCI)
• ▹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, usually one main project at a time, with occasional context switching across client engagements

Requirements

• ▹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

Soft skills

What we offer

• ▹A fully remote role within Europe, with flexible working hours
• ▹A mid–senior platform engineering role with real ownership — designing, building, and evolving 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
• ▹A strong consulting setup: close collaboration with cross-functional teams and the opportunity to advise clients on architecture and best practices
• ▹Competitive B2B compensation aligned with experience and impact
• ▹A transparent growth framework and defined career paths
• ▹Time and budget for continuous professional development, including certifications and industry learning
• ▹Modern equipment (MacBook or ThinkPad with Linux)
• ▹A remote-first culture built on trust, ownership, and collaboration

About the company

Appsilon empowers global organizations to make smarter decisions with data. Its solutions help Fortune 500 companies discover new drugs, save lives, optimize operations, and unlock millions in value.