MICROSOFT / FUNDAMENTALS
EDWIN JONATHAN / ENGINEERING BACKGROUND
About the work.
Platform engineering · DevOps · Cloud infrastructure · Backend software
I am an engineer based in Lagos, Nigeria, working across infrastructure, software delivery and the services used to operate them. I build in Python and cloud-native tooling, keep infrastructure changes reviewable, and test the assumptions behind automation.
My case studies link to source code, tests and engineering decisions. I also document where a project is still in progress.
DISCIPLINES / PRACTICAL SCOPE
Engineering across boundaries.
Platform engineering
GitOps workflows, developer delivery systems, internal automation and infrastructure-facing control surfaces.
DevOps and delivery engineering
GitHub Actions, Docker, deployment verification, Argo CD, CI/CD and change-management boundaries.
Cloud engineering and infrastructure as code
AWS networking and identity, Terraform, reproducible provisioning, desired-state checks and drift analysis.
Backend and software engineering
Python, FastAPI, PostgreSQL, REST APIs, SQLAlchemy, pytest, shell automation and failure-aware service design.
Kubernetes, security and reliability
Kubernetes, RBAC, NetworkPolicy, Trivy, Kubescape, Falco, Prometheus, Grafana, Loki and monitoring foundations.
Distributed execution and AI infrastructure research
Action identity, retries, reconciliation, ambiguous external side effects and review controls. Current work is research-stage where documented.
WORKING TOOLCHAIN
Technical stack.
01 / SOFTWARE
Python · FastAPI · PostgreSQL
Infrastructure APIs, automation, persistence and tests. Bash and Git support operational workflows.
02 / CLOUD
AWS · IAM · Networking
VPC, ECS Fargate, ECR, ALB, S3, RDS and short-lived authentication. Azure experience is also part of my learning and project work.
03 / DELIVERY
Terraform · GitHub Actions · Argo CD
Version-controlled infrastructure, container delivery, GitOps and deployment verification.
04 / CONTAINERS
Docker · Kubernetes · Linux
Workload configuration, deployment analysis, cluster security and operational debugging.
05 / VISIBILITY
Prometheus · Grafana · Loki
Metrics and logs for troubleshooting; OpenTelemetry-based tracing and observability exploration.
06 / SECURITY
OIDC · IAM/RBAC · Scanning
Permission boundaries, Trivy, Kubescape, Falco and reviewable remediation proposals.
CREDENTIALS / STRUCTURED TRAINING
Education and certification.
ALX AFRICA / COMPLETED PROGRAMME
Cloud DevOps Engineering Programme
Completed training in Linux, cloud infrastructure, containers, CI/CD and infrastructure as code.
PROFESSIONAL EXPERIENCE
Work and responsibilities.
Edwin Cloud DevOps Services
Independent cloud / DevOps engineer · Lagos / Remote
Paid cloud and delivery work across AWS, Linux, Terraform, CI/CD and containers. Client identities, commercial terms and private implementations remain undisclosed.
Allianz
DevOps engineer · Remote contract
Supported deployment verification, CI/CD and cloud-hosted application environments with engineering oversight.
TeKnowledge
DevOps engineer intern · Remote
Supported infrastructure-as-code work, cloud/CI operations and deployment troubleshooting.
Bincom Dev Center
Cloud and DevOps engineer intern · Lagos / Hybrid
Worked with AWS/Linux environments, application deployment and Git-based delivery, including a two-tier EC2/RDS exercise.
COMMERCIAL WORK / DISCLOSURE BOUNDARY
Confidential client work.
Some contracts restrict what I can share publicly. I can discuss my role and approach without disclosing client systems or sensitive details.
For examples of my work, see the public repositories, tests and release records linked here.
Inspect a complete public change-to-deployment record ↗
Review the project evidence ↗SELECTED SYSTEMS
Start with the source.
Warden ↗
Policy-tiered Kubernetes remediation with a deliberately bounded GitOps approval path.
PR automation defaults to dry-run; production integration unverified
DriftGuard ↗
Terraform drift detection and review-based remediation for AWS infrastructure.
Review-based remediation; AWS-specific
InfraGuard ↗
Source-backed AWS Security Hub remediation hardening: live-state verification, Terraform ownership and fail-closed proposal eligibility.
Design and tests in an unmerged, draft pull request; no production deployment
InfraGuard Agent ↗
A cloud-security remediation agent prototype with deterministic security mappings, Terraform proposal generation and GitHub pull-request delivery.
Human-reviewed proposals; not production-ready
Consequential Execution Runtime ↗
Rust execution-assurance research for exact action identity, effect contracts and ambiguous external outcomes.
No durable production journal or bypass-resistant execution boundary
THE WEBSITE ITSELF
Delivery is inspectable.
Hugo, GitHub Pages and source-controlled publication
This site builds from Git, with content changes reviewed through pull requests rather than edited in production.
Browser, accessibility and deployment checks
Playwright tests cover key routes, mobile layouts, keyboard navigation and reduced motion. GitHub Actions builds the site and checks published assets.
ROLES / CONTRACT ENGINEERING / TECHNICAL COLLABORATION
Discuss the system.
Not just the résumé.
I welcome technical discussions about platform, infrastructure, DevOps, backend and cloud engineering roles, including international and remote teams.