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# Site Reliability Engineer

- **Company:** Sur
- **Location:** Buchholz in der Nordheide, Germany (Remote available)
- **Experience:** Expert
- **Salary:** €60,000 - €72,000
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Windows, Amazon Web Services, Backup Devices, Bash Shell, Software as a Service, Continuous Integration, Relational Databases, Software Debugging, DevOps, Distributed Systems, Amazon DynamoDB, Elasticsearch, Identity and Access Management, Internet Information Services (IIS), Python (Programming Language), PostgreSQL, Linux System Administration, Microsoft SQL Server, Windows Servers, MySQL, OpenStack, Windows PowerShell, Query Optimization, Redis, Reliability Engineering, Ansible, Service-Oriented Architecture, Windows Desktop, Alwayson, Data Logging, Cloud Platform System, .NET Core, System Availability, Reliability of Systems, AWS Lambda, Backend, Kubernetes, Functional Programming, Cloudwatch, Kibana, Terraform, Serverless Computing, Amazon Redshift
- **Published:** November 9, 2026
- **Apply:** https://www.adzuna.de/details/5954609836

## About the Role

We are seeking a proactive Site Reliability Engineer (SRE) to keep a secure SaaS platform fast, reliable, and continuously improving. You will support a hybrid technology stack spanning Windows-based applications (.NET, IIS, SQL Server) and cloud-native infrastructure (AWS, containers, Kubernetes, and Terraform)., This is a hands-on role for someone who takes ownership of production reliability, enjoys investigating complex failures, and independently identifies opportunities to improve systems. Prior Windows or SQL Server experience is not required if you bring strong infrastructure and relational database fundamentals and can learn unfamiliar technologies independently., * 5+ years of hands-on SRE, DevOps, or WebOps experience supporting production SaaS systems.

 * Strong practical experience with Terraform and Ansible for infrastructure management.
 * AWS operations experience, including Lambda, DynamoDB, CloudWatch, and IAM.
 * Strong relational database fundamentals (PostgreSQL, MySQL, or similar), including query tuning, replication, backups, recovery, and high availability.
 * Experience operating and debugging containerized and distributed systems in production.
 * Strong Linux systems administration skills.
 * Ability to script and automate with Python, Bash, or PowerShell (PowerShell can be learned on the job).
 * Experience building and maintaining CI/CD pipelines.
 * Familiarity with Redis, Kibana, Elasticsearch, and centralized logging.
 * Excellent incident response, troubleshooting, and communication skills.
 * Demonstrated ownership, curiosity, self-directed learning, and a record of proactively improving systems.
 * Availability to work US business hours and participate in an on-call rotation.

Preferred

 * Experience with Windows Server, IIS, and .NET applications.
 * SQL Server experience, particularly AlwaysOn and Service Broker.
 * Personal technology projects, home labs, open-source contributions, or tools built independently.
 * Willingness to build deep familiarity with the Windows and SQL Server stack through independent learning and hands-on practice during the first six months.

## Description

* Own availability, reliability, and performance of core backend infrastructure across Windows and Linux environments.
 * Improve observability using Kibana, CloudWatch, centralized logging, and custom telemetry; identify monitoring gaps before incidents occur.
 * Build, maintain, and improve CI/CD pipelines and infrastructure as code using Terraform and Ansible.
 * Learn and operate production Windows environments, including .NET Framework/.NET Core applications hosted on IIS.
 * Learn and support SQL Server, including AlwaysOn and Service Broker, alongside PostgreSQL and Aurora.
 * Operate cloud-native services and workloads across AWS Lambda, DynamoDB, Redshift, OpenStack, and containers.
 * Participate in an on-call rotation, troubleshoot incidents, and contribute to effective postmortems and preventive actions.
 * Partner with engineering teams to improve deployment safety, system resilience, and operational processes.
 * Proactively identify problems, automate repetitive work, and drive improvements without waiting for direction.