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MoniepointEngineering & Architecture 4d ago

Senior Cloud Engineer

Remote (Pakistan)
Full-time
Not Disclosed
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4 people applied

Job Description

Job Application for Senior Cloud Engineer at Moniepoint

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.

About the role

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 and streaming

Safety First

  • Never pay for a job application.
  • Do not share sensitive bank info.
  • Verify the client before starting work.