Senior DevOps / Platform SRE Leader

MOJEED AJEGBIL E

931-***-**** · ********@*****.***: https://www.linkedin.com/in/mo-aje-dayo1/

SUMMAR Y

Senior DevOps / Platform SRE with over 10 years of experience operating production distributed systems, including AI/ML platforms and real-time analytics. Proven owner of reliability including SLOs/SLIs, on-call incident response, postmortems, and automation-driven remediation. Deep Kubernetes + Terraform + Prometheus/Grafana expertise . SKILL S

Platform Operations: SLOs/SLIs, Incident Response, Postmortems, On-Call, Canary Rollouts, Rollback Automation, Runbooks/SOPs, Monitoring-for-the-Monitorin g Kubernetes & Containers: EKS, K8s Deployments, Helm, Canary Checks, Post-Deploy Validation, Telemetry-Heavy Microservice s

Infrastructure as Code: Terraform, Ansible, CloudFormation, Helm Chart s CI/CD & Automation: Jenkins, GitLab CI/CD, Python, Bash, Safe Rollouts, Automated Rollback Criteri a

Observability: Prometheus, Grafana, Splunk, New Relic, Metrics/Logs/Trace s Cloud: AWS (Certified Solutions Architect), Azure (DevOps Engineer Expert), GCP, Oracle Clou d

Streaming & Data (Bonus): Kafka (foundational), real-time pipelines, backpressure awarenes s Certifications: CKA, AWS SA, Azure DevOps Expert, GCP DevOps Engineer, Terraform Associate, RHCE, Jenkins Engineer, Docker Certifie d PROFESSIONAL EXPERIENC E

Pearson Senior DevOps Engineer (2025 – Present )

• Manage cloud infrastructure and automate deployment pipelines for large-scale examination and grading systems (high-volume telemetry equivalent).

• Lead first-level incident triage: collect diagnostics, identify root causes, and hand off actionable findings to engineering teams.

• Build and maintain runbooks, SOPs, and checklists for platform operations, pushing continuous improvement through automation.

• Enhance monitoring and alerting with Prometheus, Grafana, and New Relic, including

"monitoring for the monitoring" (lag/drop/error budget tracking). AccuCapitals (Startup) Lead DevOps Engineer (2022 – 2024 )

• Built and managed entire DevOps stack for fintech trading analytics platform, supporting real-time, high-volume telemetry ingestion and processing.

• Deployed and operated Kubernetes clusters for microservices architecture with Terraform + Helm for reproducible, consistent environments.

• Defined SLOs/SLIs for ingestion latency and API availability; led postmortems that reduced MTTR by 30%.

• Implemented canary rollouts and automated rollback criteria based on error budgets. Nordstrom DevOps Engineer – Data & Retail Platforms (2021 – 2022 )

• Developed CI/CD pipelines for data infrastructure and retail analytics applications with integrated automated testing and safe deployment gates.

• Containerized applications with Docker and managed Kubernetes deployments on AWS EKS (telemetry-heavy microservices: ingestion, processing, storage, APIs).

• Integrated Splunk and New Relic for performance monitoring and incident response across production distributed systems.

Dream Chase Technology DevOps & Automation Engineer (2020 )

• Automated deployment processes and infrastructure provisioning for web-based applications.

• Managed configuration management with Ansible across multiple environments.

• Supported container orchestration and service discovery using Kubernetes. Sierra Consulting DevOps Engineer – Cloud & Infrastructure Projects (2019 – 2020 )

• Deployed cloud infrastructure for healthcare and finance clients with Terraform + Ansible.

• Ensured high availability and disaster recovery strategies for production systems.

• Implemented CI/CD pipelines for scalable applications. Austin Peay State University Systems & DevOps Support (Graduate Assistant) (2017 – 2019 )

• Managed university IT systems supporting academic applications and research projects.

• Automated backup, deployment, and monitoring using scripting and DevOps tools.

• Assisted in infrastructure scaling and resource optimization in cloud and on-prem environments.

Layer7554 Technologies DevOps Apprentice (2015 – 2017 )

• Supported server deployments, network configuration, and infrastructure maintenance.

• Automated routine tasks using Bash scripting and Ansible.

• Participated in containerization and CI/CD pipeline development. PROJECT HIGHLIGHT S

AI Infrastructure Automation

• Built automated Kubernetes pipelines for AI model deployment using GitLab CI/CD with canary checks and automated rollback criteria.

• Reduced deployment time by 60% through end-to-end infrastructure automation and reproducible Helm + Terraform environments.

Trading Platform Real-Time Telemetry

• Designed scalable AWS infrastructure for real-time trading analytics, handling high- volume data ingestion, processing, and storage.

• Implemented SLO-driven monitoring and postmortem process to ensure system resilience and availability.

EDUCATIO N

Austin Peay State University – Master of Science in Computer Science CERTIFICATION S

• AWS Certified Solutions Architect – Associate

• Microsoft Certified: Azure DevOps Engineer Expert

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