Tailored CV

ENYUMA GODWIN ENYUMA
yumexzila@gmail.com | +234 803 656 8925 | Port Harcourt, Rivers State, Nigeria
AWS Solutions Architect Professional with 7+ years designing and operating large-scale cloud infrastructure, including ML inference pipelines on AWS SageMaker and EKS, and IaC automation that enables rapid, reliable deployment of AI/ML workloads. Proven ability to architect multi-account AWS environments, enforce security-as-code, and deliver cloud adoption frameworks for engineering teams. Passionate about aligning robust infrastructure with safe, reliable model deployment, and experienced in building closed-loop verification and monitoring systems that reduce downtime and improve performance. Eager to apply this foundation to architect agent-driven workflows that orchestrate context, guardrails, and feedback loops for autonomous AI agents.

WORK EXPERIENCE
INTERSWITCH GROUP — LAGOS, NIGERIA March 2019 – Present
Senior Cloud Solutions Architect | AWS Professional Services
- Designed multi-account AWS Landing Zone environments for Fortune‑500 energy and industrial clients using AWS Control Tower, Service Control Policies, and automated account vending pipelines, establishing a governed foundation for AI‑enabled workloads.
- Architected and delivered ML inference infrastructure on AWS SageMaker and EKS for predictive maintenance, reducing unplanned downtime by 34% and providing a scalable serving platform for AI agent components.
- Built reusable IaC libraries (Terraform, AWS CDK) adopted by 12 project teams, cutting environment provisioning from weeks to hours and enforcing security‑as‑code for reliable agent‑ready deployments.
- Produced executive cloud architecture reports and Well‑Architected Review findings that shaped cloud governance policies across six business units, ensuring compliance for AI‑driven services.
- Developed cloud adoption frameworks and onboarding curricula for engineering teams of 30‑150, accelerating skill‑up for teams building AI‑augmented solutions.
- Advised senior leadership on AI/ML service selection, data governance, and model deployment strategies during pre‑project planning, aligning infrastructure choices with safe, reliable model delivery for agentic systems.

FLUTTERWAVE — LAGOS, NIGERIA March 2019 – September 2019
Cloud Migration Architect
- Led full‑stack cloud migration of on‑premises ERP and manufacturing systems to AWS using AWS MGN and Database Migration Service with zero production downtime, creating a cloud‑native base for future AI‑enhanced applications.
- Implemented an AWS‑native monitoring and incident management system (CloudWatch, PagerDuty) that cut MTTR by 48%, supporting stable execution of automated workflows.
- Oversaw cloud security posture across three environments via AWS Security Hub, GuardDuty, and automated Config remediation rules, maintaining a hardened platform for AI agent operations.
- Facilitated daily architecture review meetings and enforced IAM least‑privilege controls across 200+ workloads, ensuring secure access for development and automation pipelines.

TERRAGON GROUP — ABUJA, NIGERIA November 2017 – January 2019
Cloud Infrastructure Engineer
- Designed and deployed a cloud‑native data pipeline using AWS Glue, S3, and Redshift for large‑scale environmental and site‑survey datasets, delivering high‑quality data streams essential for training and evaluating AI agents.
- Conducted architecture reviews, identified misconfigurations, and enforced cost‑optimisation controls, saving $120K/year in cloud spend and freeing resources for AI experimentation.
- Participated in cross‑functional planning sessions and delivered technical documentation for cloud workloads under ISO 27001 compliance scope, ensuring governance readiness for AI‑driven services.

ANDELA NIGERIA — LAGOS, NIGERIA August 2016 – October 2017
Cloud & DevOps Engineer
- Built and managed CI/CD pipelines using AWS CodePipeline, CodeBuild, and GitHub Actions for real‑time sensor data applications, enabling rapid, reliable delivery of services that support AI agent development.
- Implemented containerised microservices on AWS ECS Fargate; authored runbooks and observability dashboards with CloudWatch and Grafana, providing isolated, scalable runtimes for AI components.
- Produced weekly cloud performance and cost optimisation reports for engineering managers and C‑suite stakeholders, guiding efficient resource allocation for AI‑focused

EDUCATION
Bachelor of Science in Computer Science University of Calabar | 2011
Relevant coursework: Algorithms & Data Structures, Operating Systems, Distributed Systems, Machine Learning, Computer Networks

CERTIFICATIONS
AWS Certified Solutions Architect – Professional — Amazon Web Services | 2022
AWS Certified DevOps Engineer – Professional — Amazon Web Services | 2021
AWS Certified Security – Specialty — Amazon Web Services | 2021
AWS Certified Machine Learning – Specialty — Amazon Web Services | 2023
HashiCorp Certified: Terraform Associate — HashiCorp | 2022
Certified Kubernetes Administrator (CKA) — CNCF | 2023

SKILLS
AWS (Expert)
Terraform
AWS CDK
Kubernetes (EKS)
Docker / ECS
Python
SageMaker
AWS Bedrock
MLflow
LiteLLM
AWS Glue / ETL
CloudFormation
AWS Security Hub
GuardDuty
IAM / SCPs
CloudWatch
Grafana
OpenTelemetry

Cover Letter

Dear IgniteTech, The opportunity to architect an AI-augmented development system resonates with my passion for innovative software solutions. With a strong foundation in Docker, AWS, and Python, I am well-equipped to drive the efficiency and scalability of your enterprise products. Let's connect to explore how I can support your vision.