Senior DevOps Engineer

TryHackMe is the world’s fastest-growing cybersecurity training platform, serving over a million users across education, enterprise, and individual learning sectors. The platform offers gamified, hands-on hacking and defense labs for all skill levels — from complete beginners to experienced professionals.

• Collaborated with a close-knit, cross-functional team including two engineers, a product manager, and a designer to rebuild core infrastructure components for better scalability and maintainability.

• Designed and maintained complex CI/CD pipelines using AWS-native tools and Terraform, ensuring zero-downtime deployments and faster release cycles.

• Led the migration of legacy infrastructure to fully Infrastructure as Code (IaC) managed architecture, applying DevOps best practices and enabling repeatable, testable cloud deployments.

• Improved observability and performance monitoring across AWS services by integrating metrics into dashboards used by engineers and product stakeholders.

• Worked closely with backend developers (Node.js / TypeScript) to align DevOps automation with the MERN stack application structure and upcoming refactors.

• Prepared infrastructure for a large-scale rollout, supporting over 100 pages of newly architected platform components intended for millions of global users.

Tools4vision is a technology firm focused on building tools that enhance visual workflows and data processing in the cloud.

• Refactored and streamlined CI/CD pipelines with a focus on GitFlow strategy and semantic versioning, improving consistency and deployment reliability.

• Implemented observability and performance monitoring for Node.js applications using New Relic APM.

• Identified and decommissioned idle resources, reducing cloud infrastructure costs significantly.

• Redesigned container build tagging approach to align with versioned ECR images, supporting better traceability and rollback.

• Advised on AWS ECS optimization strategies, leading to improved service scaling and simplified infrastructure management.

refinery89 is a marketing technology company specializing in optimizing digital advertising performance and infrastructure for publishers and advertisers.

• Set up isolated Development, Staging, and Production environments with role-based access controls to enhance security and deployment stability.

• Cleaned up legacy infrastructure, removing unused services and implementing standardized naming conventions and tagging across cloud assets.

• Built and optimized CI/CD pipelines to enable automated deployments across all environments, reducing deployment errors and downtime.

• Achieved zero-downtime deployments for critical services by integrating rolling updates and health checks into pipeline logic.

• Implemented centralized observability using tools like Grafana and Prometheus to monitor system performance and detect anomalies in real time.

• Participated in incident response efforts and on-call rotations, quickly resolving system issues and minimizing service disruption.

• Optimize build time by over 50 percent, for faster build for their microservices and docker images.
• Write PoC and apply to fix issues with performance and errors.
• Set up Observability using a new relic for Google Cloud run, which was not officially supported for PHP.
• Set up automation using only cloud services to optimize database tables, using cloud scheduler, cloud functions, and Google Cloud backup.

Waterdrop is a European beverage brand known for its flavor-enhancing microdrinks and robust digital infrastructure across e-commerce and logistics.

• Reduced Docker build times for microservices by over 50%, boosting CI/CD performance and developer feedback cycles.

• Developed and deployed proof of concepts (PoCs) to resolve recurring performance bottlenecks and system errors in the deployment pipeline.

• Implemented observability on Google Cloud Run with New Relic, adding support for PHP where official integrations were absent.

• Automated database table optimizations through serverless workflows using Google Cloud Scheduler, Cloud Functions, and native backup services.

Swiss Re (reinsurance) collaborated on a scalable infrastructure initiative to support microservices across cloud-native apps.

• Migrated deployment pipelines from AWS CDK to Bitbucket Pipelines for consistent CI/CD across services.

• Deployed and managed Kubernetes clusters for modern apps, ensuring production stability and cost-efficiency.

• Oversaw Elastic Beanstalk environments supporting core web microservices.

• Integrated Datadog to monitor key performance indicators (latency, traffic, errors, saturation) across apps.

• Implemented code scanning tools to protect sensitive customer data and meet regulatory requirements.

• Setup their deployment pipelines from AWS CDK to using bitbucket pipelines for all their microservices
• Deployment of Kubernetes clusters for their new applications.
• Managed the elastic beanstalk environments which were running their web microservices
• Setup Datadog for each application for detailed application performance monitoring which enabled insights into and the golden signals (latency, traffic, errors, and saturation)
• Setup security and code scanning tools to ensure client details are protected.

A cloud-native commerce and logistics platform focused on scaling microservices across development, beta, and production.

• Migrated deployments from local environments to GitHub Actions for CI/CD standardization.

• Provisioned and maintained EKS clusters across staging and production, enabling service isolation.

• Established private/public VPC subnets for secure and efficient network communication.

• Deployed Fargate and managed node groups for dynamic scaling of Kubernetes workloads.

• Set up advanced monitoring and APM integrations to proactively detect performance issues.

• Configured read-replica databases to handle increasing application traffic.

• GitOps: Move Atlantis managed Terraform projects to GitLab-managed Terraform
• Debug and fix issues made with deployments made on GKE (google Kubernetes engine)
• Migrate old Heroku projects over to cloud functions (Serverless)
• Continuous improvement of our monitoring infrastructure using new relic, custom salt scripts, and Terraform.

• Making technical decisions to build microservices to power the business, (Trade finance, Finance Checkouts..)
• Building Trade finance which made customers interested in financing their shipments get funding, increasing shipments
• Led junior devs to help build systems to complete client goals
• Led backend team to launch jet vision: a backend service to track shipments and create shipping workflows.

Hubtel is a Ghana-based fintech company that provides mobile commerce, payment processing, and messaging services to businesses and individuals.

• Led the design of high-availability architectures to enhance system uptime and resilience under heavy load.

• Used AWS EKS to orchestrate scalable, cloud-native financial microservices supporting real-time processing.

• Improved production observability by integrating Azure Application Insights, Graphite, and Grafana dashboards—enabling better incident tracking and performance visualization.

• Created AWS Lambda functions triggered by SNS messages to automate real-time alerts via Microsoft Teams and CloudWatch.

• Built and optimized Solr, Redis, and Elasticsearch clusters to improve denormalized data read performance, significantly reducing query latency.

• Deployed and maintained CI/CD pipelines for infrastructure provisioning and application deployment, speeding up delivery cycles.

• Led a research team developing prototypes for distributed systems tailored to Hubtel's financial and logistics workflows.

• Designed and implemented telemetry tools to ensure SLAs compliance and proactively identify system bottlenecks.

• Developed the core inventory system for an e-commerce platform, designed to handle thousands of concurrent requests and real-time updates with high performance.

• Designed scalable backend systems using Elasticsearch and Solr/Lucene for ultra-fast search capabilities across millions of data records.

• Contributed to the scalability of Hubtel’s sales platform by implementing data partitioning strategies and efficient data access layers.

• Built and maintained the "mall subsystem"—a critical messaging-queue-based ETL pipeline that indexes product data into a search engine for an optimized customer experience.

• Enhanced backend system observability and resilience through structured logging and performance monitoring.

• Created automation scripts and deployment strategies to ensure repeatable and consistent release processes across environments.

• Worked closely with frontend teams to ensure smooth API and UI feature integration, reducing incident rates related to data consistency.

KOSA AI is a technology company focused on developing AI-powered platforms to enhance operational efficiency and scalability.

• Migrated EC2-based workloads to a newly configured ECS cluster on AWS to support high-performance AI applications.

• Designed and provisioned multiple isolated environments—networks, Amazon MQ, and databases—in accordance with the AWS Well-Architected Framework, later transitioning to Terraform for infrastructure-as-code.

• Lowered operational cloud costs by auditing resource usage, terminating idle services, and implementing auto-scaling schedules.

• Rebuilt deployment pipelines for all AI services, shifting from Jenkins to a more maintainable CI/CD setup with modern DevOps tools.

• Automated infrastructure provisioning with Terraform to standardize and streamline setup across environments.

Electric Company of Ghana is the country’s main electricity provider, serving millions of households and businesses.

• Developed a custom Content Filtering Firewall Software tailored for internal network use, based on DansGuardian principles but adapted to the company’s specific compliance requirements.

• Led the development of a cross-platform mobile payment app for Android and iOS, designed for managing prepaid and postpaid electricity meters.

• Implemented RESTful APIs and backend logic for the app’s financial transactions and user account management.

• Achieved strong user adoption, with over 10,000 downloads and 4,200 monthly active users by early 2019.

• Collaborated with cross-functional teams to ensure app scalability and real-time response across multiple devices.