Ali Dosunmu

Tech Lead- Cloud/Devops Engineer

Accomplised & Experienced DevOps Engineer with over 8 years of experience in designing, managing, and optimizing secure, scalable cloud environments on AWS, Azure, and Google Cloud Platform (GCP). Expertise in orchestrating end-to-end CI/CD pipelines, automation, and post-configuration management, improving software delivery efficiency. Led a cross-functional team in launching a new product, resulting in a 40% revenue increase in the first quarter. Configured and maintained build and deployment tools (Jenkins, Anthill Pro, Maven, Gradle) across AWS, Azure, and GCP. Proficient in database management (MySQL, Oracle), ensuring optimal storage, security, and performance. Experienced in Apache redirection rules for web applications, enhancing performance in multi-cloud environments. Hands-on expertise in designing and implementing cloud infrastructure solutions tailored to business needs.

Work Experience

Senior DevOps & Cloud Engineer

Zoom

Maryland

Dec 2023 - Current

  • Designed and implemented scalable, fault-tolerant data pipelines using Apache Airflow, Spark, and AWS services (S3, Redshift, Lambda), enabling ingestion and processing of 15TB+ of real-time transactional data daily, with 99.99% pipeline uptime.
  • Built and deployed generative AI/NLP models using OpenAI and HuggingFace libraries for intelligent transaction monitoring and document summarization, reducing manual review effort by 70% and improving processing speed by 4x.
  • Led end-to-end ETL development (data extraction, transformation, loading) across multiple payment systems, ensuring >99.9% data accuracy and reducing batch latency by 35% through optimized transformation logic and parallelization.
  • Owned production support and DevOps operations for high availability payment services, proactively resolving incidents with less than 10-minute MTTR, automating deployment pipelines with Jenkinds and Terraform, and maintaining 24/7 system reliability.
  • Optimized data storage strategies by migrating legacy warehouse systems to AWS data lake architecture (S3 + Lake Formation), cutting storage costs by 25% and improving query performance on large datasets by 60%.
  • Collaborated with data scientists and analysts to operationalize ML models and build reusable infrastructure templates, reducing model deployment time by 50% and improving experimentation velocity.
  • Implemented comprehensive monitoring and alerting across data pipelines using Prometheus, Grafana, and custom health-check scripts, achieving zero critical pipeline failures in the last 12 months.
  • Developed and enforced data governance, security, and access controls using IAM, encryption at rest/in transit, and automated audits, ensuring 100% compliance with internal and regulatory policies (e.g., SOC 2, PCI-DSS).
  • Authored and maintained technical documentation on pipeline architecture, recovery procedures, and CI/CD workflows, resulting in 30% faster onboarding of new engineers and SREs.
  • Actively contributed to peer code reviews and architectural design discussions, mentoring junior engineers and increasing overall team delivery velocity by 20% YoY.

DevOps |Cloud Computing Engineer

BMW Group

Nov 2021 - Oct 2023

  • Managed and automated infrastructure using Terraform, ring consistent, secure deployments across development and production environments.
  • Built and maintained CI/CD pipelines using Jenkins, automating deployment workflows, reducing manual intervention by 50%, and improving pipeline reliability.
  • Deployed and maintained containerized applications with Docker and Kubernetes, utilizing Helm charts to handle complex service setups and environment configurations.
  • Integrated SCA tools like Snyk into the pipeline, ensuring compliance with open-source licensing and reducing security vulnerabilities in the codebase.
  • Resolved critical networking issues with DNS, VPN, and load balancing, optimizing application availability and performance for end-users.
  • Implemented comprehensive monitoring and observability with Nagios, Zabbix, and Datadog, enabling real-time visibility and faster issue resolution through proactive alerts and dashboards.
  • Automated disaster recovery processes using Terraform and CloudFormation, ensuring high availability and minimizing downtime during system outages.

Infrastructure Automation Engineer | Site Reliability Engineer

Guaranty Trust Bank

Feb 2017 - Jun 2021

  • Assisted in the automation of cloud infrastructure using Terraform and Ansible, enabling seamless deployments and reducing manual errors by 30%.
  • Supported the creation and maintenance of CI/CD pipelines using Jenkins and GitLab CI, streamlining development workflows and ensuring timely application deployments.
  • Configured and deployed Docker containers to enhance application portability and scalability, resulting in faster environment setup times.
  • Implemented basic Kubernetes clusters to manage containerized applications, ensuring that applications could scale reliably across multiple environments.
  • Performed system health checks and automated monitoring using Nagios and PRTG, reducing downtime by identifying and resolving issues before they escalated.
  • Collaborated with senior engineers to troubleshoot networking issues, including DNS configuration and VPN setup, optimizing system performance and security.
  • Assisted in configuring security best practices, including managing IAM roles and enforcing VPC security guidelines, enhancing overall system security.

Certifications

AWS Certified Solutions Architect

Associate Certification

Microsoft Certified

Azure Fundamentals

Education

Lamar University, Texas

Master of Science (Msc)

Management Information Systems

University of Ilorin, Kwara

Bachelor of Science (BSc)

Psychology

Skills

  • Cloud Platforms: AWS, Azure, GCP
  • Configuration Management: Ansible, Chef, Puppet
  • Monitoring Tools: Datadog, NewRelic, CloudWatch, Prometheus, Grafana, Nagios, Zabbix, PRTG
  • Observability Tools: ELK Stack (Elasticsearch, Logstash, Kibana), EFK Stack (Elasticsearch, FluentBit, Kibana), Splunk, Jaeger, Zipkin, New Relic, Dynatrace, Datadog
  • Collaboration Tools: Slack, Jira
  • Programming & Scripting: Go, Python, Bash, PowerShell
  • Kubernetes Tools: Karpenter, Argo, Helm, Kustomize, Keda
  • Containerization & Orchestration: Docker, Kubernetes (EKS, AKS)
  • Networking: DNS, TCP/IP, Load Balancers, Firewalls, VPNs
  • Infrastructure as Code (IaC): Terraform, Terragrunt, CloudFormation
  • SAST Tools: SonarQube, Snyk
  • DAST Tools: OWASP ZAP, Nessus
  • CI/CD Tools: Jenkins, GitHub Actions, Bamboo, Harness
  • API Gateway Managemment: Kong, AWS API Gateway, NGINX, Apigee, Kubernetes API Server
  • Security Tools: Wiz.io, TerraScan, Trivy, Kubesec, RBAC, Network Policies o Version Control: Git (GitHub, GitLab)
  • Other Skills: Agile, Scrum, Confluence, System Design, Unit Testing