MA

MOJEED AJEGBILE

Senior DevOps / Platform Engineer

ABOUT

Senior DevOps / Platform Engineer with 8+ years of experience designing, deploying, and operating high-availability financial systems across trading, payments, and data platforms. Specialized in cloud infrastructure, CI/CD automation, reliability engineering, and production observability. Proven record of: Improving system uptime to 99.9–99.99%, Reducing deployment failures by 40–70%, Cutting manual operations by 50–75%, Hardening financial systems with auditable, deterministic infrastructure. Expert in AWS, Azure, Terraform, Docker, Kubernetes, CI/CD pipelines, and production-grade monitoring.

SKILLS

AWSAzureMicrosoft Fabric
TerraformARMCloud resource automation
DockerKubernetes
GitHub Actionsautomated testingenvironment promotion
HA designfailure isolationrollback strategies
LoggingmetricsalertsSplunk dashboards
IAMsecrets managementencryptionaudit logging
SQL ServerBigQueryDB2PostgreSQL
PythonSQLBash

EXPERIENCE

Senior DevOps / Platform Engineer

2025-03 - Present

Snorkel AI

Designed and operated cloud-native analytics infrastructure processing millions of records daily with high uptime and reliability. Built comprehensive Terraform-based infrastructure pipelines and automated CI/CD workflows. Implemented security controls and optimized infrastructure performance. • Designed and operated cloud-native analytics infrastructure processing millions of records daily with >99.9% uptime. • Built Terraform-based infrastructure pipelines, reducing environment drift by ~60% and provisioning time by ~70%. • Automated CI/CD workflows using Docker + GitHub Actions, decreasing deployment failures by ~45%. • Implemented role-based access controls and audit logging, achieving 100% traceability for sensitive workloads. • Improved reporting latency by ~60% through infrastructure tuning and optimized data services. • Standardized dev/test/prod environments, reducing production incidents by ~40%.

DevOps / BI Platform Engineer

2024-06 - 2025-03

Pearson

Supported enterprise analytics platforms with automated backend services and infrastructure workflows. Automated database migration pipelines and built CI/CD pipelines for analytics services. Optimized data pipelines and improved reliability through automated validation. • Supported enterprise analytics platforms with automated backend services and infrastructure workflows. • Automated DB2 → SQL Server migration pipelines, reducing manual intervention by ~50%. • Built CI/CD pipelines for analytics services, improving release frequency by 2×. • Optimized data pipelines and queries, improving report load times by ~35%. • Reduced data reliability incidents by ~30% using automated validation and monitoring checks.

Lead DevOps Engineer (Trading & Financial Platforms)

2022-01 - 2024-12

AccuCapitals (Startup)

Led DevOps engineering for trading and financial platforms including algorithmic trading systems and payments infrastructure. Designed and operated always-on trading infrastructure integrating MetaTrader 5 and OANDA APIs. Built event-driven execution pipelines, containerized services, and implemented comprehensive monitoring. Designed and deployed double-entry ledger infrastructure supporting payments operations with automated validation and reconciliation. • Designed and operated an always-on trading infrastructure integrating MetaTrader 5 (MT5) and OANDA APIs. • Built event-driven execution pipelines ensuring trades executed only on new closed bars, eliminating duplicate decisions and reducing execution errors by ~90%. • Implemented automated recovery and restart logic, maintaining ~99.9% runtime availability. • Containerized trading services with Docker, reducing deployment and environment issues by ~65%. • Centralized logging and metrics for trade decisions, executions, positions, and PnL. • Reduced incident diagnosis time by ~50% using structured logs and decision traces. • Improved system stability in volatile market conditions, reducing unexpected shutdowns by ~40%. • Designed and deployed double-entry ledger infrastructure supporting payments, holds, releases, refunds, and disputes. • Built immutable posting pipelines with automated validation, achieving 99.99% reconciliation accuracy. • Implemented velocity and daily limit enforcement, preventing >99% of abnormal transaction spikes. • Automated settlement and reconciliation jobs, reducing manual finance operations by ~70%. • Added per-currency precision handling (JPY=0, KWD=3), eliminating 100% of rounding-related balance drift. • Built monitoring and alerting for ledger anomalies, reducing mean time to detection (MTTD) by ~60%.

DevOps / Data Platform Engineer

2021-01 - 2022-06

Nordstrom

Supported enterprise data platforms with high-availability SQL services. Built observability dashboards and automated ETL pipelines to improve data operations and reduce errors. • Supported enterprise data platforms with high-availability SQL services. • Built observability dashboards (Splunk), reducing incident detection time by ~50%. • Automated ETL pipelines using Python and SSIS, improving data freshness SLAs by ~30%. • Reduced production data errors by ~35% through automated validation and alerts.

DevOps / Data Engineer

- Present

Dream Chase Technology

Built automated ETL pipelines and backend services. Supported cloud-hosted analytics systems with improved stability and monitoring. • Built automated ETL pipelines and backend services. • Supported cloud-hosted analytics systems with improved stability and monitoring. • Reduced manual reporting workloads by ~40% through automation.

Data Engineer

- Present

Sierra Consulting

Built automated ETL pipelines and backend services. Supported cloud-hosted analytics systems with improved stability and monitoring. • Built automated ETL pipelines and backend services. • Supported cloud-hosted analytics systems with improved stability and monitoring. • Reduced manual reporting workloads by ~40% through automation.

Research Assistant

- Present

Austin Peay State University

Built automated ETL pipelines and backend services. Supported cloud-hosted analytics systems with improved stability and monitoring. • Built automated ETL pipelines and backend services. • Supported cloud-hosted analytics systems with improved stability and monitoring. • Reduced manual reporting workloads by ~40% through automation.

EDUCATION

Austin Peay State University

- Present

M.S. in Computer Science

Federal University of Agriculture, Abeokuta

- Present

B.S. in Computational Biology