Kuda Bank

Banking + 2 more

Senior Backend Engineer

Job details

Contract Type

Description

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.
  • A portfolio of internal platforms, SDKs, or shared libraries that other teams adopted — and continued to use after you moved on.
  • Fintech, payments, or regulated financial services background — you understand what compliance boundaries mean for infrastructure decisions.
Responsibilities
  • 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.

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