Ali Dosunmu

Tech Lead- Cloud/Devops Engineer

Accomplised & Experienced DevOps Engineer with with 9+ 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

  • Identified and eliminated CI/CD and testing bottlenecks by designing reusable DevOps automation frameworks, accelerating software releases and improving deployment reliability across multi-cloud environments.
  • Built and deployed a real-time generative AI incident-triage solution using Amazon Bedrock, Lambda, EventBridge, CloudWatch, and Bedrock Knowledge Bases to analyze production alerts, retrieve relevant runbooks, and recommend remediation steps, reducing incident resolution time by 50%.
  • Solved scalability and workflow-processing challenges by leading the development of serverless, event-driven applications using AWS Lambda and integrating S3, SQS, SNS, and API Gateway to deliver reliable, automated cloud workflows.
  • Reduced manual network administration and configuration inconsistencies by automating firewall and load-balancer management across AWS and Azure, including Azure Firewall, ELB/ALB, Application Gateway, NAT Gateway, and F5 BIG-IP.
  • Implemented a centralized encryption and key-management solution using AWS KMS to secure sensitive data across S3, EBS, RDS, and application workloads; enforced least-privilege key policies, automatic key rotation, and CloudTrail auditing to strengthen security and compliance.
  • Addressed data-processing and scalability challenges by building AWS infrastructure with Kinesis for real-time streaming, Glue for automated ETL orchestration, and Redshift for scalable analytics and data warehousing.
  • Eliminated manual and inconsistent infrastructure provisioning by implementing Terraform and CloudFormation IaC alongside reusable CI/CD templates, standardizing deployments across projects and reducing deployment time by 80%.
  • Improved system reliability by implementing proactive monitoring and alerting with AWS CloudWatch and Datadog, enabling faster issue detection and reducing service disruptions.
  • Designed and implemented a disaster recovery plan that strengthened business continuity and reduced downtime by 70%.
  • Addressed API scalability, security, and traffic-management challenges by deploying serverless workloads with AWS Lambda and API Gateway and implementing Kong policies for routing, authentication, and API governance.
  • Eliminated manual microservices deployments by building TeamCity and Harness CI/CD pipelines that automated releases to Kubernetes (EKS), improving delivery consistency, scalability, and maintainability.
  • Integrated SonarQube into CI/CD pipelines to automate code-quality and security analysis, reducing identified vulnerabilities by 50%.
  • Mitigated cloud security and compliance risks by enforcing least-privilege IAM, KMS-based encryption at rest, encryption in transit, and automated audit pipelines, achieving 100% compliance with SOC 2, PCI DSS, and internal security policies.
  • Eliminated manual deployment handoffs by partnering with developers to optimize CI/CD pipelines, enabling each code push to trigger consistent, automated deployments across cloud environments.
  • Improved knowledge transfer and operational readiness by maintaining documentation for pipeline architecture, recovery procedures, and CI/CD workflows, reducing onboarding time for new engineers and SREs by 90%.
  • Modernized infrastructure provisioning by driving the migration from AWS CloudFormation to Terraform and introducing reusable, modular IaC patterns that improved automation, consistency, and provisioning speed across environments.
  • Implemented Amazon OpenSearch Serverless as a vector database for an Amazon Bedrock Knowledge Base, indexing operational runbooks and incident data to enable fast, context-aware retrieval and improve AI-generated remediation recommendations.
  • Improved code quality, architectural consistency, and team capability through peer reviews, design collaboration, and junior-engineer mentoring, increasing delivery velocity by 20% year over year.
  • Identified reliability, security, and operational-efficiency gaps through infrastructure maturity assessments, delivering prioritized recommendations to strengthen platform performance and resilience.
  • Supported cloud migration initiatives by architecting and implementing automated, cloud-native solutions that improved scalability and operational consistency.

DevOps |Cloud Computing Engineer

BMW Group

Nov 2021 - Oct 2023

  • Reduced manual provisioning and configuration drift by automating infrastructure management with Terraform, ensuring consistent and secure deployments across development and production environments.
  • Improved release reliability by building and maintaining Jenkins CI/CD pipelines that automated deployment workflows and reduced manual intervention by 50%.
  • Simplified complex service deployments by managing containerized applications with Docker and Kubernetes and using Helm charts to standardize configurations across environments.
  • Mitigated open-source dependency risks by integrating Snyk SCA scans into CI/CD pipelines, automating vulnerability detection and license-compliance checks before deployment.
  • Improved access to operational data by developing and maintaining query logic across SQL, DynamoDB, and Amazon Redshift, supporting analytics and reliable automation pipelines.
  • Improved visibility into cloud costs and resource utilization by building AWS QuickSight dashboards and supporting Tableau integration, enabling stakeholders to identify spending trends and optimization opportunities.
  • Diagnosed and resolved critical DNS, VPN, and load-balancing incidents, restoring connectivity and improving application availability and performance for end users.
  • Improved system reliability by implementing monitoring and observability with Nagios, Zabbix, and Datadog, using real-time dashboards and proactive alerts to accelerate incident detection and resolution.
  • Strengthened business continuity by automating disaster recovery infrastructure with Terraform and CloudFormation, enabling repeatable failover, improving availability, and minimizing downtime during outages.

Infrastructure Automation Engineer | Site Reliability Engineer

Guaranty Trust Bank

Feb 2017 - Jun 2021

  • Improved deployment consistency by automating cloud infrastructure provisioning and configuration with Terraform and Ansible, reducing manual errors by 30%.
  • Designed, deployed, and maintained secure, highly available AWS environments using EC2, VPC, S3, RDS, Route 53, ELB/ALB, CloudWatch, CloudTrail, and AWS Network Firewall.
  • Streamlined software delivery by building and maintaining Jenkins and GitLab CI/CD pipelines, automating development workflows and enabling consistent, timely application deployments.
  • Improved application portability and scalability by containerizing and deploying applications with Docker, standardizing runtime environments and accelerating environment setup.
  • Configured and managed Kubernetes clusters to orchestrate containerized applications, enabling reliable scaling and consistent deployments across multiple environments.
  • Reduced downtime by automating system health monitoring with Nagios and PRTG, enabling proactive detection and resolution of performance and availability issues before escalation.
  • Resolved DNS configuration and VPN connectivity issues in collaboration with senior engineers, improving network performance, reliability, and security.
  • Strengthened cloud security by managing least-privilege IAM roles and enforcing VPC security controls, reducing unauthorized-access risks across AWS environments.

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