• Application Deadline:
• Position: Software Engineering Manager



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 10 years



• Location Lagos




• Job Field ICT / Computer 
  
  

The role

• We’re hiring a Senior Engineering Manager to lead our Java-based platform teams. You’ll own delivery, reliability, and technical growth across mission-critical payment APIs and microservices. This is a hands-on leadership role combining architecture, people management, and operational excellence.

What you’ll do

• Lead and grow multiple engineering teams, including hiring, performance management, and career development.


• Drive architecture and design for microservices, APIs, and payment integrations.


• Ensure system reliability, scalability, security, and compliance with payment standards.


• Champion engineering best practices: CI/CD, automated testing, code reviews, observability.


• Own system reliability, capacity planning, and SLOs for both transactional services and ML inference workloads; optimize cost and latency trade-offs.


• Partner with Product, Data & AI Engineering, Risk, Security, and Compliance to prioritize initiatives, embed models into workflows, and ensure regulatory readiness.


• Establish KPIs for engineering and AI (lead time, MTTR, model drift, inference latency, false positive/negative rates); use metrics to drive continuous improvement.


• Evaluate and introduce technologies that improve performance and developer productivity.

What we’re looking for

• 10+ years software engineering experience; 5+ years in engineering management or equivalent.


• Strong Java (Java 8+) expertise and proven experience building production microservices.


• Experience with Spring Boot, Spring Cloud, messaging (Kafka/RabbitMQ), and databases (Oracle, Postgres, Redis, etc.).


• Cloud & container experience (AWS/Azure/GCP, Kubernetes/Docker).


• Hands-on with CI/CD, IaC (Terraform/CloudFormation), and observability tools (Prometheus/Grafana/ELK).


• Solid knowledge of secure development practices and payment industry/regulatory requirements.


• Familiarity with specification-driven AI development, including structured workflows, schema-based outputs, guardrails, and evaluation-driven AI system design.


• Familiarity with ML frameworks and tooling (TensorFlow, PyTorch, scikit-learn), model orchestration (Kubeflow, MLflow), and cloud AI services (SageMaker, Vertex AI, Azure ML); or demonstrated ability to evaluate and adopt equivalent solutions.


• Demonstrated ability to lead through ambiguity, manage complex stakeholder networks, and deliver under high operational pressure.


• Excellent communicator and stakeholder partner; experience in fintech/payments preferred.