For our client, we are looking for an Operations Engineer (m/f/d).

 

Framework Parameters

Start:

- Duration: 31.12.26 ++

- Workload: Full-time

- Location: 75% Remote, 25% Frankfurt am Main (3 weeks per month remote, 1 week onsite)

 

The team is building an internal platform for software product developers to accelerate the development and delivery of software products to tackle the massive challenges facing the energy sector. The Platform is a service oriented, cloud-native platform that is being built to provide application teams with self-service capabilities to develop, run

and operate their software products. Platform provides services for application infrastructure, data, service lifecycle management, application build and delivery as well as services to operate their software products. The Platform is

deployed as a hybrid cloud, encompassing both private cloud and selected public clouds.

 

The Product Line is responsible for a product portfolio central to the program, consisting of an Infrastructure as a Service Product, a managed Kubernetes Service, a resource management service to facilitate scalable management of platform permissions and

a service lifecycle workflow engine enabling. All services together constitute a core part of an on-premise private cloud platform for all business applications, including IT/OT critical applications required for maintaining and operating the grid.

For the whole product portfolio, the product line owns the complete product flow, from product management, architecture, and delivery up until Tier 3 operations.

 

 

Objective: Support on CI/CD pipelines and ensure operational readiness for deployments

• Validation of deployment artifacts from an operations perspective.

• Defining and enforcing quality assurance measures (e.g. required documentation of standard operation procedures,

successful test reports, …) to ensure the high quality of delivered products and services.

• Ensuring rollback strategies and operational monitoring (observability) are in place for production deployments.

 

Objective: Ensure operational stability and responsiveness for ESL

• Monitoring system health, performance metrics, and service availability across multi-tenant environments.

• Identifying, analyzing, and resolving incidents, minimizing service disruption.

• Triggering root cause analysis and implementation of corrective and preventive actions.

 

Objective: Reduce operational toil and improve service reliability

• Address recurring operational issues by automating remedial standard operations processes

• Validate all automated procedures following the established software development lifecycle including staging, testing, and validation reviews

 

Objective: Ensure platform operations adhere to security and compliance standards

• Implementing monitoring and logging strategies to support audit and compliance requirements.

• Performing routine security scans and remediating identified vulnerabilities.

 

• At least of 3 years of operational experience with self-managed Kubernetes clusters, self-managed services providing Kubernetes clusters and productive applications or systems in on premise environments

• Deep understanding of networking concepts, including protocols, load balancing, and security.

• Profound knowledge and implementation experience with CI/CD processes, tooling (e.g. GitLab, Jenkins, Tekton, Argo Workflows, and Argo CD), concepts and associated quality and security assurance for software delivery

• Fundamental understanding of core operations processes (incident management, change management, problem management, IT Service Management) as well as SRE concepts

• Experience in gathering operational insights from monitoring or observability including SLI/SLA/SLO management and tracking.

• Hand-on experience in documenting procedures properly and enforcing clear runbooks or playbooks.

• Hands-on experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog).

 

• Proficiency in both speech and writing in English (at least C1).

 

• Project experience in software engineering (in Go Lang, C/C++ or Python) with significant experience in building RESTful services in distributed environments.