Lead Site Reliability Engineer (Client Access)
Posted Updated
Summary
Hands-on Lead Site Reliability Engineer at Deutsche Bank's Client Access team in Berlin, ensuring production supportability is built into high-volume payment and financial messaging platforms (initially the CMI cloud platform) before go-live. Works across Java/Kotlin code, Kafka/MQ event-driven services, and observability tooling like Splunk, Kibana and Geneos.
- Client Access develops and operates platforms connecting the Bank with Central Banks, clearing houses, financial institutions, corporate clients, government agencies and regulators
- The portfolio includes Channel and Market Integration (CMI), our strategic cloud-based platform for payment orchestration and external connectivity, alongside established vendor products and services supporting SWIFT, EBICS and other financial-messaging channels
- The Lead Site Reliability Engineer (f/m/x) will connect Engineering, QA, SL2/SL3 Production Support and Operations, ensuring that production supportability is designed into services and features before go-live rather than addressed after release
- The initial focus will be CMI, with opportunities to improve reliability and observability across vendor products and the wider portfolio
- This is a hands-on individual-contributor role combining strong software-engineering capability with deep production experience
- The Lead Site Reliability Engineer (f/m/x) will work across code, telemetry, testing and operating procedures to ensure that high-volume payment and messaging services can be effectively monitored, diagnosed and safely recovered when failures occur
- Partner with Engineering, QA, Production Support and Operations from design through go-live
- Define monitoring, dashboards and actionable alerting using Splunk, Kibana and Geneos
- Design supportability for high-volume, event-driven services, including retry, replay, idempotency, reconciliation, message correlation, queue/backlog monitoring and capacity controls
- Translate expected failure modes into alerts, runbooks, recovery procedures, support-acceptance criteria and post-release production checks
- Improve testing through unit, component, contract, integration, performance and targeted end-to-end tests, including rollback and recovery scenarios
- Lead technical incident and problem analysis and drive sustainable corrective actions with application and support teams
- Contribute hands-on to implementation, architecture, design and code reviews across globally distributed teams
- Solid software engineering background covering testing, CI/CD, Spring Boot, REST APIs, Oracle, Kubernetes, Docker, and effective collaboration across Engineering, Production Support, and Operations teams
- Strong understanding of event-driven architectures using Kafka and MQ, including retries, replay, idempotency, and reconciliation
- Experience driving incident management, root-cause analysis, operational readiness, recovery automation, and runbook development
- Deep knowledge of observability and monitoring, including Splunk, Kibana, Geneos, telemetry design, dashboards, and alerting
- Strong hands-on experience in Java or Kotlin development for complex distributed systems
- Proven expertise supporting high-volume payment, trading, or financial messaging platforms in production environments
- Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to