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**Staff Backend Engineer / Kotlin @ Damedic (Remote, EU ONLY* :exclamation:*) up to 100k€*

We're looking for a senior backend engineer (java/kotlin) with strong Kubernetes expertise) to lead our core platform development while ensuring system stability and mentoring the team. Desired experience ~10 years

:hammer_and_wrench: **Stack*
Backend: Java/Kotlin (Hibernate, GraphQL, REST, Postgres)
Infra/DevOps: Kubernetes (EKS), AWS (SQS, S3, CloudWatch, RDS), Terraform
Observability: Prometheus, Grafana
Event-driven: RabbitMQ, AWS SQS
Nice to have: React, Python, AI tooling interest

:dart: **Responsibilities*
**System Ownership**: Ensure stability and performance of our Kotlin backend services running on Kubernetes
**Technical Leadership**: Prioritize short and long-term work to maximize value delivery and system reliability
**Problem Solving**: Resolve customer issues, support escalations, and production incidents
**Mentorship**: Guide team members on backend architecture, Kubernetes best practices, and system design
SecOps: Own security controls for yearly ISO/C5 audits

:zap: **Requirements*
Deep expertise in Java/Kotlin and backend distributed architecture
Strong Kubernetes knowledge (deployments, services, ingress, monitoring)
Experience with AWS services (EKS, RDS, SQS, CloudWatch)
Strong communication skills and product-oriented mindset
German is a plus
Knowledge of compliance frameworks (ISO/C5) is a plus

:star2: **Success Measures*
Value throughput and feature delivery velocity
System stability and availability
Code quality and architectural decisions
Reduced incident count and faster resolution times

:computer: **A Typical Day*
09:00 – Start with the product team standup, discussing feature priorities and technical requirements for the sprint. Review customer feedback and plan backend improvements.
10:00 – Deep work: Design and implement new GraphQL mutations for the patient data management system, focusing on clean architecture and proper validation.
12:00 – Collaborate with frontend developers on API design, ensuring the Kotlin backend provides exactly what the React components need for the new dashboard features.
14:00 – Mentoring session with a junior developer: review their Kotlin code for the new notification service, discuss Hibernate optimization, and explain Kubernetes deployment strategies.
16:00 – Architecture planning with the team: design the data flow for our new AI-powered feature, considering RabbitMQ message patterns and database schema changes.
17:30 – Wrap up by documenting API changes, updating technical specifications, and preparing tomorrow's development tasks. End the day knowing you've moved the product forward and supported the team's growth.

If you're passionate about building robust backend systems with Kotlin and Kubernetes, and want to shape the technical direction of a growing healthcare platform, let's talk!


<https://www.linkedin.com/in/felipe-lopez-hamann|https://www.linkedin.com/in/felipe-lopez-hamann>
