Moniepoint Inc Job Recruitment (3 Positions)

Applications are invited from interested and qualified candidates to apply for the Moniepoint Inc Job Recruitment (2025). The job available has a variety of roles, finance and more.

Moniepoint Inc., (formerly TeamApt Inc.) is a fintech company founded by Tosin Eniolorunda in 2015 that is focused on providing financial solutions for businesses.

Moniepoint is a financial technology company digitizing Africa’s real economy by building a financial ecosystem for businesses, providing them with all the payment, banking, credit, and business management tools they need to succeed.

Individuals interested in the Moniepoint Inc Job Recruitment should review the job details, requirements, and application process outlined below.

Financial Planning Analyst

Specifications:

• Full Time – Remote Jobs
• Required Qualifications: BA/BSC/HND 
• Location: Lagos| Nigeria. See other Jobs in Lagos
• Category: Finance Jobs
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• Supports the Head of Group FP&A in running the Group’s forecasting, budgeting, and reporting cycle, and acts as the FP&A resource for smaller subsidiaries that don’t yet have a dedicated full-time finance analyst.

Responsibilities

• Maintain and update the Group consolidation model monthly, reconciling actuals to forecast and flagging variances
• Provide forecasting, budgeting, and management-reporting support directly to subsidiaries without their own FP&A resource
• Prepare Board and management reporting packs to house standard, on a fixed monthly/quarterly cadence
• Support the annual budget process: templates, data collection from BUs, consolidation, and variance commentary
• Run variance analysis against budget and prior forecast, and draft the narrative behind the numbers
• Maintain KPI and unit-economics tracking across the entities in scope
• Respond to ad hoc analysis requests from the CFO, Head of Group FP&A, or subsidiary leadership.

What Success Looks Like

• Group model reconciles to actuals monthly with no unexplained variances
• Subsidiaries in scope receive consistent, on-time FP&A support and no longer flag gaps in coverage
• Board packs and management reports are delivered to house standard, every cycle
• Budget data collection from BUs happens on schedule, with minimal follow-up required.

Qualifications and Requirements:

• 4-6 years of experience in FP&A, financial analysis, or a similar corporate finance role
• Advanced Excel / financial modelling skills
• Experience working with multi-entity or multi-currency numbers
• Part-qualified or qualified accountant (ACA / ACCA / CIMA / CPA) or equivalent analytical. background.

Preffered Qualifications:

• Experience in banking, fintech, or another regulated environment
• Exposure to Board-level reporting
• Comfort working directly with subsidiary or BU stakeholders without close day-to-day supervision.

About You:

• You’re comfortable being the only FP&A point of contact for a subsidiary. You don’t wait to be told exactly what’s needed
• You keep the model and the numbers clean, even when the underlying data isn’t
• You ask the subsidiary team the right questions rather than guessing at the answer
• You deliver reporting on a fixed cadence, on time, without chasing.

Cloud Engineer

Specifications:

• Full-Time – Remote Jobs
• Required Qualifications: BA/BSC/HND 
• Location: Lagos| Nigeria. See other Jobs in Lagos
• Category: Tech Jobs
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. 
• Our infrastructure runs on some of the cool tools that excite infrastructure engineers – kubernetes, docker etc.
• We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.

Position Overview

• We are seeking an experienced Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. 
• The ideal candidate will have deep expertise in cloud platforms, container orchestration, infrastructure automation, CI/CD pipelines, and observability solutions, ensuring scalable, reliable, and cost-effective cloud operations across multiple cloud providers.

Principal Duties and Responsibilities

Cloud Infrastructure Management:

• Design, deploy, and manage multi-cloud infrastructure across Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, and Oracle Cloud Infrastructure (OCI)
• Architect and implement highly available, fault-tolerant, and scalable cloud solutions
• Manage cloud resources including compute instances and networking components
• Design and implement disaster recovery and business continuity plans for cloud workloads
• Migrate on-premises applications and services to cloud environments with minimal disruption
• Optimize cloud resource utilization and implement auto-scaling policies
• Maintain comprehensive documentation of cloud architectures, configurations, and runbooks.

Kubernetes & Container Orchestration:

• Design, deploy, and manage production-grade Kubernetes clusters across multiple cloud providers
• Implement and maintain container orchestration strategies for microservices architectures
• Configure and manage Kubernetes resource objects
• Manage Kubernetes cluster upgrades, scaling, and performance optimization
• Troubleshoot complex container and orchestration issues in production environments
• Implement multi-cluster and multi-region Kubernetes deployments for high availability.

Service Mesh & Advanced Networking:

• Design, deploy, and manage Istio service mesh for microservices communication and observability
• Configure Istio traffic management, including virtual services, destination rules, and gateways
• Implement advanced traffic routing (canary deployments, A/B testing, traffic splitting) using Istio
• Deploy and manage Istio observability components (telemetry, distributed tracing, service graphs)
• Implement circuit breaking, retries, timeouts, and fault injection for resilience testing
• Configure Istio ingress and egress gateways for external traffic management
• Monitor and optimize service mesh performance and resource utilization
• Implement multi-cluster service mesh architectures across different cloud providers.

Reverse Proxy & Load Balancing:

• Deploy, configure, and manage HAProxy for high-performance load balancing and reverse proxy
• Implement HAProxy ACLs, backend routing, health checks, and session persistence
• Design and implement Nginx as reverse proxy for web applications and API gateways
• Configure Nginx for rate limiting and request filtering
• Implement Nginx load balancing algorithms and upstream health monitoring
• Manage Nginx Plus features for advanced traffic management and monitoring
• Optimize HAProxy and Nginx performance for high-throughput environments.

Infrastructure as Code & Configuration Management:

• Develop and maintain infrastructure as code using Terraform
• Create reusable, modular Terraform configurations for various cloud resources and Implement Terraform state management and remote backends
• Design and implement configuration management solutions using Ansible
• Develop Ansible playbooks and roles for automated server provisioning and configuration
• Integrate Terraform and Ansible workflows for end-to-end infrastructure automation
• Implement infrastructure version control, code review processes, and GitOps practices
• Manage infrastructure drift detection and remediation
• Create and maintain infrastructure documentation and architecture diagrams
• Implement policy-as-code using tools like OPA (Open Policy Agent) or Sentinel.

CI/CD Pipeline Management:

• Design, implement, and maintain continuous integration pipelines using Jenkins and Harness
• Optimize build times and pipeline efficiency
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Configure Jenkins jobs, pipelines, and shared libraries for automated build, configure build agents, runners, and execution environments
• Implement Harness deployment pipelines for cloud-native applications
• Integrate CI/CD pipelines with version control systems (Git, GitHub, GitLab)
• Implement continuous deployment workflows using ArgoCD for Kubernetes-based applications
• Design and implement GitOps workflows with ArgoCD for declarative application delivery
• Manage ArgoCD application definitions, sync policies and multi-cluster deployments
• Implement progressive delivery strategies (blue-green deployments, canary releases) using ArgoCD.

Message Streaming & Event-Driven Architecture:

• Deploy and manage Apache Kafka clusters for real-time data streaming and event-driven architectures
• Configure Kafka topics, partitions, replication factors, and retention policies
• Implement Kafka Connect for data integration with various sources and sinks
• Monitor Kafka cluster health, performance metrics, and consumer lag
• Optimize Kafka performance for high-throughput and low-latency use cases
• Troubleshoot Kafka producer and consumer issues.

Database & Proxy Management:

• Deploy, configure, and manage ProxySQL for MySQL load balancing and high availability
• Implement query routing, caching, and connection pooling strategies using ProxySQL
• Optimize database performance through ProxySQL query analysis and optimization
• Implement database failover and disaster recovery using ProxySQL
• Monitor ProxySQL metrics and troubleshoot connection and performance issues
• Integrate ProxySQL with database clusters and replication topologies
• Implement database access security and audit logging through ProxySQL.

Cloud Networking:

• Design and implement cloud networking architectures, including VPCs, subnets, and network segmentation
• Configure and manage cloud load balancers (Application Load Balancers, Network Load Balancers, Cloud Load Balancing)
• Implement VPN connections, Direct Connect/Interconnect, and hybrid cloud networking solutions
• Implement network security controls, including security groups, network ACLs, and firewall rules
• Implement network monitoring and traffic analysis
• Troubleshoot complex networking issues across multi-cloud environments
• Design and implement private connectivity between cloud providers.

Secrets Management & Security:

• Configure and manage HashiCorp Vault for centralized secrets management across multi-cloud environments
• Configure Vault secret engines (KV, database, PKI, AWS, GCP, Azure dynamic secrets)
• Manage Vault high availability clusters and disaster recovery procedures
• Implement dynamic database credentials and secret rotation strategies
• Manage Vault encryption as a service for application-level encryption
• Implement Vault agent and sidecar injectors for Kubernetes workloads.
• Migrate secrets from legacy systems to Vault

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Qualifications and Requirements:

• Bachelor’s Degree or Diploma in Computer Science, Information Technology, Engineering, or related field
• Minimum of 5 years of proven experience in cloud engineering, DevOps, or platform engineering roles
• Hands-on experience managing production workloads across multiple cloud platforms
• Relevant cloud and technology certifications are highly desirable.

 Technical Skills:

Cloud Platforms (Required):

• Google Cloud Platform (GCP): Deep expertise in Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM
• Amazon Web Services (AWS): Proficiency in EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM
• Microsoft Azure: Experience with Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates
• Oracle Cloud Infrastructure (OCI): Familiarity with Compute, OKE, Object Storage, networking, and OCI-specific services
• Multi-cloud architecture design and implementation experience
• Cloud migration strategies and execution (lift-and-shift, re-platforming, re-architecting).

Container & Orchestration (Required):

• Expert-level Kubernetes knowledge, including cluster architecture, networking, storage, and security
• Hands-on experience with managed Kubernetes services (GKE, EKS, AKS)
• Proficiency in Docker containerization, image optimization, and registry management
• Experience with Helm charts for application packaging and deployment
• Knowledge of container runtime environments (containerd, CRI-O).

Service Mesh & Microservices (Required):

• Istio: Deep expertise in Istio architecture, deployment, and operations
• Istio traffic management (virtual services, destination rules, gateways, service entries)
• Istio security features (mTLS, authorization policies, peer authentication, request authentication)
• Istio observability and telemetry configuration
• Multi-cluster and multi-mesh deployments
• Service mesh troubleshooting and performance optimization
• Understanding of sidecar proxy patterns and Envoy proxy
• Experience with other service mesh solutions (Linkerd, Consul Connect) is a plus.

Reverse Proxy & Load Balancing (Required):

• HAProxy Advanced configuration and management for load balancing and high availability
• Nginx Expert-level configuration as reverse proxy and API gateway
• Nginx rate limiting, and performance tuning
• Nginx load balancing algorithms and upstream configurations
• Experience with Nginx modules and custom configurations
• High availability configurations using keepalived, VRRP, or similar
• Integration with Kubernetes ingress controllers (Nginx Ingress, Istio Ingress).

Infrastructure as Code (Required):

• Advanced Terraform skills for multi-cloud infrastructure provisioning
• Terraform module development, state management, and workspace strategies
• Proficiency in Ansible for configuration management and automation
• Ansible playbook development, roles, and inventory management
• Experience with version control systems (Git) and GitOps workflows
• Infrastructure testing frameworks (Terratest, Kitchen-Terraform).

CI/CD Tools (Required):

• Jenkins: Pipeline development (declarative and scripted), shared libraries, plugin management
• Harness: Deployment pipeline configuration, workflow creation, approval gates
• ArgoCD: GitOps workflows, application synchronization, multi-cluster management
• Integration of CI/CD tools with Kubernetes and cloud platforms
• Automated testing and deployment strategies
• Artifact repository management (Nexus, Artifactory, cloud-native registries).

Messaging & Streaming (Required):

• Apache Kafka architecture, cluster management, and operations
• Kafka topic design, partitioning strategies, and performance tuning
• Kafka Connect experience
• Experience with Kafka management tools (Kafka Manager, Cruise Control)
• Understanding of event-driven architectures and patterns.

Database & Proxy Technologies (Required):

• ProxySQL configuration, management, and optimization
• MySQL database administration basics
• Understanding of database replication and clustering.

Observability & Monitoring (Required):

• Prometheus metrics collection, PromQL, and alerting rules
• Grafana dashboard design and visualization techniques
• Log aggregation and analysis.

Networking (Required):

• Deep understanding of TCP/IP, DNS, HTTP/HTTPS, and network protocols
• Cloud networking concepts (VPC, subnets, routing tables, NAT, VPN)
• Load balancing strategies and implementations
• Service discovery and DNS-based routing
• Network security and firewall configuration
• Software-defined networking (SDN) concepts.

Scripting & Programming:

• Proficient in scripting languages: Python, Bash
• Go or python programming basics for tooling development
• YAML and JSON for configuration management
• Understanding of software development best practices.

Secrets Management (Required):

• HashiCorp Vault: Advanced knowledge of Vault architecture, deployment, and operations
• Vault authentication methods and integration with cloud providers and Kubernetes
• Vault secret engines (KV v1/v2, database, transit, cloud dynamic.

Senior Data Analyst

Specifications:

• Full-Time – Remote Jobs
• Required Qualifications: BA/BSC/HND 
• Location: Lagos| Nigeria. See other Jobs in Lagos
• Category: Tech Jobs
• Job Alerts: To receive Job Alerts on WhatsApp, Click HERE

Description:

• The Senior Data Analyst will be responsible for driving the growth and success of payment products by developing strategies that enhance user acquisition, retention, and overall product engagement. 
• This role requires a blend of analytical skills, strategic thinking, and collaboration across various teams to ensure that payment solutions meet market demands and align with business objectives. 
• Typically, you ensure that the product not only attracts users but also grows efficiently as the company scales.

Key Responsibilities

• Work closely with product managers, business, development and data engineering teams to guide the sales, marketing and growth team in problem discoveries, monitor and give visibility of product metrics and KPIs.
• Translate product and business questions into analysis and actionable insights.
• Develop and maintain scalable and self-service visualization tools and dashboards.
• Own end-to-end everything analytics related to Marketing and Growth Product: products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
• Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
• Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

Qualifications and Requirements:

• 3-4 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies/industries (tier 1 consulting firms, investment banking or tech companies with heavy use of in programming).
• Excellent SQL skills – tested during the process
• Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
• Knowledge of visualization tools like Tableau and Looker and others
• Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
• Experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks
• Excellent spoken and written English.

Additional skills:

• Product management
• Analytics
• Marketing
• Data Science
• Design
• Customer Success.

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