Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Global"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€2,367–€14,758). The listed pay band (€422–€683) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 351 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Platform Engineer | €5,000/per month | €5,500/per month | €6,000/per month |
| All roles in Remote - Global | €2,367/per month | €6,692/per month | €14,758/per month |
| Pay in our data — not quoted in ad (Senior) | €422/per month | €552/per month | €683/per month |
At Castor, we’re modernizing the backbone of clinical research. We provide a modular cloud platform designed to run trials end-to-end, including an EDC system, eConsent for recruitment and screening, and eCOA for patient-reported outcomes. Castor Catalyst enables AI automation to reduce manual effort. We are a remote-first company that trusts employees to manage their own schedules and lives, with a focus on high performance through trust, health, and support. Your mission as a Senior Platform Engineer is to build foundations that empower product developers to ship secure, reliable services at scale. You’ll bridge code and production by building a containerized environment on Azure and maintaining a high-performance messaging backbone, while championing automation and infrastructure-as-code. You will help deliver life-changing health-tech solutions to patients and researchers worldwide.
Job Details
Responsibilities
- Designing containerized service delivery
- Developing internal guidelines and docs
- Maintaining code for centrally managed services
- Managing centralized messaging infrastructure (NATS)
- On-call rotation support
- Documentation and Architecture Decision Records
Requirements
- Proficiency in Python or Go
- Cloud experience with Azure or GCP
- Terraform and Kubernetes knowledge
- Linux, networking, web apps, databases
- Monitoring and debugging distributed systems
- Strong understanding of distributed systems and message brokers
Skills & Technologies
Benefits & Perks
Recruitment Process
- 1Screening
- 2Technical interview
- 3Offer
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