Requirements

• 8+ years in software engineering with at least 4 years in a platform, SRE, or infrastructure-focused role — with clear evidence of building systems other teams depended on.
  
• Deep Kafka experience: partition strategy, consumer group design, exactly-once semantics, and failure recovery in production.
  
• Redis at scale: cluster mode, pub/sub, eviction policies, and distributed lock patterns.
  
• Strong proficiency in .NET (C#) and/or Python within high-throughput microservices architectures.
  
• Experience processing high-volume, low-latency financial transactions with the compliance requirements that come with them.
  
• DORA fluency: you have used it to drive real engineering improvements and presented those results to leadership.
  

• Ecosystem architecture: Build shared platform services, internal SDKs, and developer tooling that other teams adopt — your output multiplies squad output, not just your own.
  
• Quarterly initiative definition: Partner with engineering leadership, product, and finance to identify, scope, and prioritise platform investments with clear business outcomes (uptime = revenue, deploy frequency = faster GTM).
  
• Event-driven infrastructure: Own Kafka clusters end-to-end — topic design, partition strategy, consumer lag management, schema evolution, and failure recovery at scale.
  
• Caching & state layer: Lead Redis patterns across the org: cluster mode, pub/sub, distributed locks, eviction policies, and scripting for low-latency financial workloads.
  
• Engineering velocity: Drive DORA metrics practice — deploy frequency, lead time, change failure rate, and MTTR — turning data into quarterly engineering decisions, not just dashboards.
  
• Platform standards: Define and enforce observability, alerting, service mesh, and on-call standards across all squads. Write the RFCs and ADRs the org builds from.
  
• Build vs. buy decisions: Lead the evaluation of open-source tooling vs. custom builds — with a track record of getting both right.
  
• Fintech compliance: Embed audit trails, data residency, and PCI/SOC-aware patterns into platform design from day one, not as an afterthought.
  
• Mentorship at scale: Grow mid and senior engineers through architecture reviews, pairing, and written craft — making knowledge transfer a force multiplier, not a bottleneck.