Platform Product Engineer (P4-P5)

Appsilon

17h • Remote

About The Position

At Appsilon, we empower global organizations to make smarter decisions with data. Our solutions help Fortune 500 companies discover new drugs, save lives, optimize operations, and unlock millions in value. To achieve this, we rely on robust, scalable, and well-designed cloud platforms that support data science and machine learning workflows. Why do we need you? The Platform Unit builds tools, accelerators, and deployment infrastructure for pharma and life sciences clients worldwide. We need someone who owns the platform itself as a product - making sure our cloud infrastructure is properly architected, secured, and reusable, and that we have end-to-end CI/CD, QA, and delivery processes that work for client deployments. You'll be the full-time builder at the core of the platform, with a team that contributes alongside you.

Requirements

• 4+ years working with cloud infrastructure and platform engineering
• Strong AWS experience — this is the primary cloud and must be your comfort zone
• Hands-on Kubernetes experience in production environments
• Proficiency with Terraform or equivalent Infrastructure as Code tools
• Backend development experience in Python and/or Go
• Experience designing and building CI/CD pipelines end to end
• Linux experience and solid understanding of networking (DNS, VPN, TCP/IP, firewalls)
• A product mindset: you think about the platform as something with users, developer experience, and long-term maintainability
• Strong technical documentation and spec writing skills
• Comfort with AI-assisted development as a daily productivity tool
• Ability to work independently in unstructured environments with shifting priorities
• Strong collaboration skills — this is a team-first culture where others contribute part-time to what you build full-time
• Experience in consulting or working with clients
• English at C1 level (near-native)
• Comfortable working remotely across European and LATAM time zones

Nice To Haves

• Experience with other cloud platforms (Azure, GCP)
• AWS or Kubernetes certifications
• Experience with developer platforms or internal developer tooling
• Knowledge of data engineering concepts (ETL, pipelines, orchestration tools)
• Knowledge of R, Spark, or data pipeline tooling
• Familiarity with pharma, life sciences, or regulated environments
• Project management experience or certification

Responsibilities

• Design, build, and maintain cloud infrastructure on AWS using Terraform and Infrastructure as Code practices
• Manage and evolve Kubernetes clusters and container orchestration for the platform
• Build and maintain CI/CD pipelines, QA gates, and deployment processes for client environments
• Develop backend services and scripting (Python, Go) that power the platform
• Write technical specifications and documentation that enable other engineers to deploy, operate, and contribute to the platform
• Structure work and codebase so the wider team can contribute effectively alongside their client-facing roles
• Ensure platform security, reliability, and compliance with best practices
• Grow into the product expert who supports client deployments, upgrades, and environment-specific adjustments over time
• Use AI-assisted development tools (Copilot, Claude Code, Cursor) as part of your daily workflow
• Collaborate with engineering, data, and delivery teams to align the platform with real client needs

Benefits

• Fully remote work within Europe or LATAM, with flexibility to collaborate across time zones and align working hours with project needs
• A product-building role with real ownership - you shape and evolve the platform that our engineers and global pharma clients depend on
• End-to-end ownership from infrastructure design through to delivery processes and client deployment support
• AI-native workflows - we use AI development tools as standard practice, not as an experiment
• Competitive B2B compensation aligned with seniority and impact, with clear and transparent terms
• A defined career path with opportunities to grow toward principal and staff-level responsibilities
• Time and budget for continuous professional development, including cloud certifications, training, and industry events
• Modern equipment (MacBook or ThinkPad with Linux) and a toolset designed for quality platform engineering
• A remote-first, trust-based culture that values ownership, collaboration, and pragmatism over rigid process

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees