Senior Backend Engineer

Kuda

Senior Backend Engineer at Kuda focusing on building reliable and scalable distributed systems. Collaborate with teams to enhance developer experience and drive platform strategy.

Posted 6/9/2026full-timeLagos • 🇳🇬 NigeriaSeniorWebsite

Tech Stack

Tools & technologies

KafkaMicroservices.NETPythonRedis

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

A great and upbeat work environment populated by a multinational team
Pension
Career Development & growth
Competitive annual leave plus bank holidays
Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)
Group life insurance
Medical insurance
Well-fare package (Wedding, Compassionate and etc)
AwardCo
Goalr - employee wellness app
Award winning L&D training
We are advocates of work-life balance, working in a hybrid in office schedule

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

KafkaRedis.NETC#PythonDORA metricsevent-driven infrastructurehigh-throughput microserviceslow-latency financial transactionsplatform architecture

Soft Skills

mentorshipcollaborationleadershipcommunicationproblem-solvingdecision-makingknowledge transferinitiative definitionprioritizationengineering velocity