Senior DevOps & Cloud Platform Engineer

ADEKUNLE J. AJIKE

SENIOR DEVOPS ENGINEER CLOUD ENGINEER PLATFORM ENGINEER

Richmond, TX 77406 +1-832-***-**** *************@*****.*** https://www.linkedin.com/in/adekunleajike PROFESSIONAL SUMMARY

Senior Cloud & DevOps Engineer with 8+ years of experience designing, automating, and securing enterprise cloud infrastructure across AWS, Azure, and GCP environments. Expert in Infrastructure as Code (Terraform), Kubernetes orchestration, CI/CD pipeline automation, and cloud security engineering supporting highly regulated environments including FedRAMP, FISMA, NIST 800-53, and DISA STIG frameworks. Proven track record modernizing legacy systems into cloud-native microservices architectures, implementing GitOps, platform engineering, and observability frameworks that improve reliability, deployment velocity, and security posture. Experienced in building scalable DevOps platforms, containerized workloads, and AI-enabled cloud solutions while reducing operational costs and improving system performance. CORE SKILLS

Cloud Platforms: AWS: EC2, EKS, ECS, Lambda, API Gateway, S3, RDS, DynamoDB, IAM, CloudFormation, CDK, CloudWatch, CloudTrail, GuardDuty, Inspector, Bedrock, SageMaker, Azure: AKS, Azure DevOps, App Services, Azure Monitor, Key Vault, Log Analytics, VNets, Bicep/ARM, Google Cloud Platform: GKE, Cloud Run, Cloud Build, Cloud Functions, Cloud Storage, Stackdriver DevOps & Platform Engineering: Terraform • Kubernetes • Helm • Docker • GitOps • ArgoCD • Jenkins • GitHub Actions • GitLab CI/CD • AWS CodePipeline • Azure DevOps • JFrog Artifactory • SonarQube • Nexus Infrastructure & Automation: Infrastructure as Code (IaC) • Terraform Modules • Ansible • Puppet • Packer • Chef • Configuration Management • Immutable Infrastructure

SRE & Observability: Prometheus • Grafana • ELK / EFK Stack • Splunk • Dynatrace • OpenTelemetry • SLI/SLO Design • Incident Response • Runbooks • Auto-scaling

Security & Compliance: Zero Trust Architecture • IAM Hardening • Secrets Management • HashiCorp Vault • WAF • Cloud Security Posture Management • FedRAMP • FISMA • NIST 800-53 • SOC2 • PCI-DSS • HIPAA Programming: Python • Bash • PowerShell • YAML • JSON Operating Systems: Linux (RedHat, Ubuntu, CentOS) • Windows Server • macOS Architecture & Engineering: Distributed Systems, System Design, CI/CD, Networking, Git PROFESSIONAL EXPERIENCE

ACCENTURE FEDERAL SERVICES

SENIOR CLOUD DEVOPS ENGINEER REMOTE NOV 2022 – PRESENT

• Designed and implemented enterprise DevSecOps platform architecture across AWS and Azure using Terraform, Kubernetes (AKS/EKS), and GitOps practices, improving deployment velocity by 55%.

• Implemented branching strategies (GitFlow, trunk-based development) to streamline collaboration across multi-team engineering environments.

• Architected and refined Jenkins-based CI/CD pipelines enabling zero-downtime deployments across multi-region Kubernetes environments, improving release reliability by 45%.

• Built modular Terraform infrastructure with remote state + workspace strategy, reducing provisioning errors by 60%.

• Optimized AWS environments (EKS, API Gateway, Lambda, SQS, RDS, CloudFront) for cost, security, and performance, cutting spend by 30%.

• Shifted monitoring to AI-powered observability using Datadog Watchdog + automated RCA, reducing MTTI by 70%.

• Defined and governed SLOs/SLAs, led incident response, and delivered blameless post mortems improving reliability by 35%.

• Applied secure by design principles across IaC, CI/CD, and Kubernetes, reducing misconfigurations by 50%.

• Leveraged AI tooling (Bedrock/SageMaker) to accelerate infra-automation and improve release quality, reducing manual effort by 25%.

• Improved global performance via CloudFront CDN and DNS optimizations, reducing latency by 40%.

• Built secure CI/CD pipelines using GitHub Actions, AWS CodePipeline, Azure DevOps, and Jenkins integrating security scanning

(SAST/DAST) and artifact validation via JFrog Xray, reducing production defects by 40%.

• Engineered hybrid cloud networking architecture integrating CDC data centers with Azure using ExpressRoute, VPN Gateway, and hub- spoke VNets, achieving 99.95% availability for mission-critical systems.

• Developed Terraform-based Infrastructure-as-Code modules for AKS clusters, VNets, load balancers, node pools, and security policies, enabling fully automated infrastructure provisioning and reducing environment setup time by 80%.

• Implemented GitOps deployment workflows using ArgoCD and Helm, automating Kubernetes deployments across multiple environments and accelerating release cycles by 50%.

• Architected enterprise observability platform using Prometheus, Grafana, Azure Monitor, and OpenTelemetry enabling centralized monitoring, distributed tracing, and proactive alerting for over 200+ microservices.

• Strengthened cloud security posture through automated IAM governance, policy enforcement, and vulnerability remediation using AWS Inspector, GuardDuty, and Azure Security Center, reducing security incidents by 85%.

• Implemented Zero Trust network policies, RBAC controls, and secrets management using Vault and AWS Secrets Manager, improving compliance with FedRAMP and NIST 800-53 frameworks.

• Automated container image build pipelines and artifact lifecycle management with Docker, Kubernetes, and JFrog Artifactory, improving deployment consistency and artifact traceability.

• Optimized cloud infrastructure costs by implementing auto-scaling policies, storage lifecycle automation, and resource rightsizing, reducing operational cloud spend by 30% annually.

DUPONT SPECIALTY CHEMICALS

CLOUD ENGINEER DEVOPS ENGINEER WILMINGTON, DE JAN 2019 – OCT 2022

• Designed and deployed highly available AWS infrastructure using Terraform and CloudFormation supporting mission-critical enterprise applications with 99.99% uptime SLA.

• Engineered Jenkins deployment pipelines with shared libraries and automated promotion workflows, reducing failures by 50%.

• Developed advanced Terraform modules for VPC, EKS, and RDS, enabling consistent multi environment provisioning.

• Built enterprise container orchestration environment using Kubernetes (EKS) and Docker, enabling scalable microservices deployment and reducing application downtime by 35%.

• Automated CI/CD pipelines with Jenkins, GitLab CI, and AWS CodeBuild, enabling continuous delivery workflows and reducing release cycle times by 45%.

• Implemented centralized artifact management using JFrog Artifactory, improving dependency management and reducing build failures by 40%.

• Established cloud observability pipelines using CloudWatch, Splunk, and ELK stack, improving incident detection and reducing MTTR by 45%.

• Developed automated security scanning pipelines integrating AWS Inspector and Lambda remediation scripts, reducing vulnerability exposure by 70%.

• Designed automated VPC networking architectures with private subnets, NAT gateways, and VPC peering, improving application connectivity and reducing network latency by 60%.

• Implemented infrastructure auto-scaling and load balancing policies using ALB and Auto Scaling Groups, improving system performance under peak workloads.

UNITED THERAPEUTICS CORPORATION

CLOUD SUPPORT ENGINEER DEVOPS ENGINEER SILVER SPRING, MD JAN 2016 – DEC 2018

• Built automated CI/CD pipelines using Jenkins, Docker, and Kubernetes, reducing manual deployment processes by 85%.

• Automated Route53 DNS + CloudFront configurations improving global availability and reducing latency by 30%.

• Led incident response using automated runbooks and post incident reviews, reducing recurring issues by 40%.

• Implemented rolling deployments and blue-green release strategies, reducing application downtime and post-release defects by 40%.

• Automated AWS infrastructure provisioning with CloudFormation templates, standardizing deployment processes across development and production environments.

• Developed Route53 automation scripts for DNS routing and failover, improving application availability and reducing latency by 30%.

• Implemented cloud security controls including WAF, IAM policies, and subnet segmentation, reducing attack surface and improving security compliance.

• Supported 24/7 production infrastructure operations with proactive monitoring, alerting, and automated incident response runbooks. EDUCATION

Master of Science – General Engineering

Prairie View A&M University

Bachelor of Science – Chemical Engineering

Prairie View A&M University

CERTIFICATIONS

• AWS Certified DevOps Engineer – Professional

• AWS Certified Solutions Architect – Associate

• AWS Certified Data Engineer – Associate

• AWS Certified AI Practitioner

• Microsoft Azure Fundamentals (AZ-900)

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