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Job description
Description
At Loyalty Partner Solutions GmbH we are pioneers and technology leaders in high-performance loyalty management software for the airline, retail, travel, and transportation sectors. Headquartered in Munich, with teams around the world, we develop comprehensive software solutions for the operation of complex customer loyalty programs, which we implement for our clients worldwide.
We develop long-term partnerships with our clients, advise them on their digitalization journey, work on innovative ideas together, and put them into practice. Among the companies that count on our know-how are Lufthansa, for its frequent flyer program Miles & More, Deutsche Bahn AG for its BahnCard and BahnBonus programs, PAYBACK, and international air carriers such as China Southern Airlines and United Airlines.
Responsibilities
Collaborates with Software Engineering teams to support the development, and implementation of features that enhance system resilience, scalability, and performance, ensuring systems can handle varying loads and recover effectively from unexpected disruptions.
Collaborates in the development and implementation of automation tools and frameworks, including infrastructure as code (IaC) practices, to reduce manual intervention and improve system efficiency, with guidance from peers and leaders.
Collaborates with senior engineers to contribute to the architectural design of systems, ensuring that reliability, scalability, and performance considerations are integrated into design discussions with direct guidance from senior colleagues.
Collaborates in the design and execution of chaos engineering experiments and other resiliency testing methods to help identify potential failure points and ensure systems can recover from disruptions, with guidance from peers and leaders.
Supports the development and implementation of disaster recovery plans and business continuity strategies, ensuring systems can recover quickly and effectively from unexpected disruptions.
Collaborates with seniors to promote and implement best practices such as error budgeting, service-level objectives (SLOs), and service-level indicators (SLIs), contributing to a culture of continuous improvement and reliability.
Serves as a key point of contact for customer-facing incident management, helping drive timely resolution and coordinating stakeholders through to recovery.
Works within an ITIL-aligned support organization, applying structured incident, problem, and change management processes to support consistent, repeatable service delivery.
Builds and maintains automation tools and frameworks, including infrastructure as code (IaC), to reduce manual toil, accelerate recovery, and improve operational efficiency across cloud environments.
Helps deploy and operate cloud-native infrastructure on public cloud platforms (AWS, Azure, or GCP), contributing to containerized workloads, CI/CD pipelines, and DevOps tooling.
Creates and maintains clear, structured process documentation, runbooks, and knowledge-base articles, ensuring operational knowledge is captured, standardized, and accessible across the team.
Collaborates with Software Engineering teams to enhance system resilience, scalability, and performance, ensuring services handle varying loads and recover effectively from disruptions.
Contributes to the definition and monitoring of service-level KPIs, supporting a culture of continuous improvement and reliability.
Supports the development and execution of disaster recovery and business continuity plans, including resiliency testing methods such as chaos engineering experiments.
Qualifications
10+ years of experience.
Bachelor's degree in Computer Science, Information Technology, Engineering, or comparable experience; advanced degree preferred.
Experience in customer-facing incident management or technical operations.
Working knowledge of ITIL service management practices (incident, problem, and change management), ITIL certification preferred.
Hands-on DevOps experience with CI/CD pipelines and automation tooling (e.g., Jenkins, GitHub).
Experience with public cloud platforms (AWS, Azure, or GCP) and cloud-based SRE practices.
Familiarity with containerization and orchestration (Kubernetes, Docker) and microservices architecture.
Familiarity with a modern observability stack (e.g., Splunk, Prometheus, Grafana), including logging, monitoring, tracing, and performance analysis.
Experience with Linux/Unix systems, infrastructure as code (e.g., Terraform), and scripting languages (e.g., Python, Bash), familiarity with object-oriented languages such as Java a plus.
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Questions you may be asked
What is the difference between an AWS Region and an Availability Zone?
Explain the AWS shared responsibility model.
What is Amazon EC2, and how do you read an instance type name like m7g.large?
What is Amazon S3, and what are its main storage classes?
