Wassim Akachi

Worked as Migration Automation Engineer for a large financial institution to develop comprehensive migration patterns and automation solutions for migrating massive IT systems and workloads from multiple on-premise datacenters to Amazon Web Services. The project involved migrating diverse workload types including OpenShift containers, Linux/Windows VMs, Microsoft AlwaysOn Clusters, various database systems (MS-SQL, MySQL, MongoDB, Cassandra), messaging systems (RabbitMQ, Apache ActiveMQ), load balancers, firewall appliances, and storage systems. Developed automated migration workflows with multiple phases including DNS TTL management, OpenShift resource backup and restore, DNS entry changes, and cutover runbook automation. Created migration templates and wave-based execution strategies using advanced AWS services and automation tools. Implementation and automation of DevOps processes using Ansible for Infrastructure as Code, GitLab-CI for continuous integration/deployment, and Jenkins for build automation to ensure efficient and reliable software delivery. Design and implementation of scalable deployment strategies through development of custom Helm Charts for Kubernetes orchestration and Bash scripts for automated deployment processes, including multi-environment support (Dev, Staging, Production). Systematic execution of root-cause analysis for complex technical issues in self-developed and legacy systems, including implementation of sustainable solution strategies and preventive monitoring measures. Design and delivery of technical training programs as well as strategic consulting for users and stakeholders to optimize workflows, best practices, and technology adoption.

Designed, implemented, tested, and deployed high-performance applications with minimal oversight, ensuring reliability and scalability of complex multi-application systems. Optimized release and deployment processes, raising delivery quality and speed. Led design and implementation of large components, shaping system architecture and project outcomes. Provided strategic guidance on design, prioritization, and debugging, aligning teams across Product, Project, and Business. Mentored Engineers I & II, offering solutions and coaching collaboration practices. Automated DevOps workflows using Ansible (IaC), GitLab-CI (CI/CD), and Jenkins (build automation). Designed scalable deployment strategies with custom Helm charts for Kubernetes orchestration and Bash scripts supporting multi-environment rollouts (Dev, Staging, Prod). Performed root-cause analysis for complex issues in legacy and modern systems, delivering sustainable fixes and preventive monitoring. Delivered technical training and consulting to optimize workflows, best practices, and technology adoption. Enhanced and extended proprietary testing framework; created a Kotlin-based Domain Specific Language (DSL) for system testing, enabling expressive and maintainable test cases. Contributed to a massive-scale ad exchange system running in 4 regions with 10+ clusters each (~2,400 VMs total on AWS). Each Auto Scaling Group had an ALB handling 400k+ requests/sec. The platform processed millions of daily requests per cluster/region, each request generating 5–10 Kinesis events. Optimized EC2 instances to manage thousands of concurrent requests. Feature deployments were executed by adding new Auto Scaling Groups behind cluster ALBs, with production releases twice weekly. The system delivered enterprise-scale stability, extreme performance, and reliability in the AdTech space

In the role as an IT System Engineer, I am responsible for the following tasks: