Moniepoint is hiring a Cloud Engineer

Moniepoint is seeking a Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. You will be responsible for ensuring our cloud operations across multiple providers are scalable, reliable, and cost-effective. We are an inspired, customer-focused community dedicated to crafting innovative solutions and cultivating a culture of teamwork and growth.

What You'll Do

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

What We're Looking For

• Bachelor's degree or diploma in Computer Science, Information Technology, Engineering, or a 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.
• Deep expertise in Google Cloud Platform (GCP): Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM.
• Proficiency in Amazon Web Services (AWS): EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM.
• Experience with Microsoft Azure: Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates.
• Familiarity with Oracle Cloud Infrastructure (OCI): 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).
• Expert-level Kubernetes knowledge, including cluster architecture.

Nice to Have

• Relevant cloud and technology certifications are highly desirable.

Technical Stack

• Kubernetes, Docker, Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, Oracle Cloud Infrastructure (OCI), Istio, HAProxy, Nginx, Terraform, Ansible, OPA (Open Policy Agent), Sentinel, Jenkins, Harness, Git, GitHub, GitLab, ArgoCD, Apache Kafka, ProxySQL, HashiCorp Vault