(Senior) Platform Engineer - Real-Time Infrastructure - Banking (m/f/x)

Das ist der Job

This is primarily a platform and infrastructure role.

Darum lohnt es sich

In this role you will: • Own infrastructure end to end across cloud and physical environments, including AWS, Linux hosts, networking, containers, and runtime operations • Design and improve infrastructure for performance-sensitive services, supported by repeatable production-like benchmarks covering throughput, burst behaviour, and p50, p95, p99, and p99.9 latency • Design, operate, and troubleshoot critical network paths across VPCs, routing, security groups, load balancers, DNS, private connectivity, and service-to-service communication • Build and improve infrastructure as code, host lifecycle management, and deployment workflows across development, staging, and production • Improve reliability, failover, recovery, and operational safety across Linux-based runtimes, containers, serverless workloads, event-driven flows, and scheduled processing • Harden platform capabilities around IAM, KMS, secrets, service connectivity, and secure operational access • Raise the standard of observability through dashboards, alerting, tracing, health checks, readiness checks, and incident tooling • Partner with software engineers on reusable infrastructure patterns, production readiness, CI/CD, and incident response • A university degree in Computer Science, Engineering, or a comparable practical background • Experience with dedicated host strategies, low-latency networking, CPU pinning, host-level isolation techniques • Strong experience owning production infrastructure for distributed or real-time systems • Strong hands‑on experience with AWS, especially EC2, VPC networking, IAM, KMS, S3, SQS, SNS, and related operational tooling • Strong hands‑on networking experience, including routing, DNS, load balancers, network security, service connectivity, and debugging complex production traffic paths • Strong experience with Terraform and infrastructure lifecycle management • Deep knowledge of Linux systems, containers, runtime debugging, and host-level performance tuning • Experience operating performance-sensitive workloads where predictability and tail-latency matter, not only average throughput • Experience with infrastructure patterns for stateful services, active/standby failover, recovery, deployment safety, and controlled cutovers • Strong analytical thinking, pragmatic decision-making, and clear communication across engineering and operational stakeholders • Nice to have: • Experience supporting Rust‑based service environments • Experience in regulated, security‑sensitive, or high‑reliability environments • Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers • Work with an international, diverse, inclusive, and ever‑growing team that loves creating the best products for our clients • Be productive with the latest hardware and tools • Learn and grow by joining our in‑house knowledge sharing or career development sessions and spending your individual Education Budget • Learn and experience German culture first hand by joining our free German language classes • International relocation support is provided if required • Opportunity to work from abroad • Benefit from an attractive compensation package and from the company pension scheme • Monthly contribution of 50% for the ‘Deutschland Jobticket’ • Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker • Enjoy flexible and discounted sports activities with Urban Sports Club Join us to build and operate the infrastructure foundation behind mission-critical, real-time trading systems with demanding reliability and tail-latency requirements.

You will work on the runtime and operational environment behind performance-sensitive systems across cloud and physical infrastructure. The scope includes AWS, Linux hosts, networking, containerized runtimes, observability, deployment safety, and, where needed, dedicated hardware.