Available immediately
AWS
AWS Certified
Berlin, Germany

I am a Cloud Infrastructure & DevOps Engineer focused on AWS, Terraform, containers, and deployment automation.

I work with AWS, Terraform, Docker, Kubernetes, ECS/Fargate, and CI/CD tooling to build repeatable infrastructure and reliable deployment workflows. Based in Berlin, I am open to Cloud, DevOps, Platform, and SRE roles across Europe.

4+
Years Experience
AWS
Certified
B2
German
franklin@portfolio:~
ready
_
AWS
VERIFIED
AWS Certified
// ABOUT_ME

Professional Summary

Cloud Infrastructure & DevOps Engineer with 4+ years of combined engineering, consulting, and digital operations experience. I work mainly with AWS, Terraform, Docker, Kubernetes, ECS/Fargate, Linux, and CI/CD automation.

My focus is on making infrastructure repeatable and deployments easier to operate. I work across infrastructure-as-code, containerized workloads, automation, troubleshooting, reliability, security, and cost-aware cloud operations.

Berlin, GermanyNiederlassungserlaubnis (Permanent)Available ImmediatelyEnglish - FluentGerman - B2
ROLE_FOCUS
Cloud Infrastructure Engineer
DevOps Engineer
Platform Engineer
Site Reliability Engineer (SRE)
Cloud Engineer
Infrastructure Automation Engineer
// PROJECTS

Engineering Projects

Selected platform engineering, Kubernetes, SRE, cloud infrastructure, automation, and observability projects built to demonstrate practical engineering work.

PROJECT 01
KUBERNETES & PLATFORM ENGINEERING

PlatformOps-Lab

GitHub ->
PROJECT OVERVIEW

A local Kubernetes environment I built to practice platform engineering workflows without relying on a paid cloud environment.

ARCHITECTURE

Terraform provisions the platform foundation while Kind runs the Kubernetes cluster. Kustomize handles environment configuration, Helm packages workloads, and GitHub Actions validates the delivery workflow.

ENGINEERING WORKFLOW
Terraform ->Kind ->Kubernetes ->Helm ->Kustomize ->GitHub Actions
OBSERVABILITY
-Prometheus metrics
-Grafana dashboards
-Loki log aggregation
-Application visibility
ENGINEERING VALUE
+Reusable Kubernetes deployment patterns
+Infrastructure-as-Code workflow
+Integrated observability stack
+Local platform engineering laboratory
TECHNOLOGY STACK
KubernetesTerraformDockerKindHelmKustomizePrometheusGrafana
PROJECT 02
PLATFORM ENGINEERING

LocalCloud Control Plane

GitHub ->
PROJECT OVERVIEW

A local platform engineering project for managing services, deployments, events, and simulated operational state through a small control-plane API.

ARCHITECTURE

A React + Vite dashboard communicates with a Node.js/Express API. Service management, orchestration, lifecycle events, logging, metrics simulation, and state persistence are separated into clear platform components.

ENGINEERING WORKFLOW
React Dashboard ->REST API ->Service Manager ->Orchestrator ->Lifecycle Events ->State Persistence
OBSERVABILITY
-Service lifecycle events
-Deployment state tracking
-Operational event logging
-Metrics simulation
ENGINEERING VALUE
+Control-plane architecture
+Separation of platform and application concerns
+Runs completely locally
+Foundation for Kubernetes-style extensions
TECHNOLOGY STACK
ReactViteNode.jsExpressDockerGitHub Actions
PROJECT 03
SRE & CHAOS ENGINEERING

ChaosForge

GitHub ->
PROJECT OVERVIEW

A local reliability engineering lab where I introduce controlled failures into containerized workloads and measure detection, recovery, MTTR, SLO compliance, and error-budget impact.

ARCHITECTURE

PowerShell orchestrates controlled failure experiments across Docker workloads. FastAPI provides the workload and API layer while Prometheus and Grafana capture and visualize reliability behaviour.

ENGINEERING WORKFLOW
Chaos Injection ->Failure Detection ->Incident Creation ->Recovery ->MTTR Measurement ->SLO Evaluation
OBSERVABILITY
-Prometheus metrics
-Grafana dashboards
-Incident history
-MTTR tracking
ENGINEERING VALUE
+Turns reliability assumptions into experiments
+Measures recovery performance
+Supports SLO and error-budget analysis
+Provides a local SRE laboratory
TECHNOLOGY STACK
PythonFastAPIDockerPowerShellPrometheusGrafanaSRE
PROJECT 04
CLOUD OBSERVABILITY

CloudPulse

GitHub ->
PROJECT OVERVIEW

A cloud operations project focused on collecting metrics, detecting anomalies, exposing health information, and turning infrastructure signals into something easier to investigate.

ARCHITECTURE

Containerized FastAPI services ingest and process operational metrics, persist data in PostgreSQL, and expose REST APIs for dashboards and alerting integrations.

ENGINEERING WORKFLOW
Metric Ingestion ->Processing ->Anomaly Detection ->Health Insights ->PostgreSQL ->REST API
OBSERVABILITY
-Metric ingestion
-Health signals
-Anomaly detection
-Operational API visibility
ENGINEERING VALUE
+Practical cloud operations workflow
+Actionable health signals
+Reusable REST API
+Hands-on observability practice
TECHNOLOGY STACK
PythonFastAPIPostgreSQLDockerREST APIObservability
// EXPERIENCE

Career Timeline

Cloud Engineer

CURRENT
Macview | Remote
APR 2026 - PRESENTContract
  • -Work with AWS and Azure infrastructure, focusing on reliable, secure, and maintainable cloud environments.
  • -Automate infrastructure provisioning and deployment workflows with Terraform and CI/CD tooling.
  • -Build and support containerized workloads using Docker and cloud-native services.
  • -Troubleshoot infrastructure and deployment issues and improve repeatability across delivery workflows.
AWSAzureTerraformDockerCI/CD

Cloud & DevOps Engineer

DCI Digital Career Institute | Berlin, Germany
NOV 2024 - MAR 2026Work Study
  • -Built CI/CD pipelines with Jenkins and GitHub Actions to automate repeatable software delivery.
  • -Built infrastructure with Terraform and worked hands-on with EC2, S3, IAM, VPC, Lambda, and RDS.
  • -Deployed ECS/Fargate workloads and practiced Blue/Green deployment strategies.
AWSJenkinsTerraformDockerGitHub ActionsECS/Fargate

DevOps Engineer

Bridge IT Engineering | Berlin, Germany
NOV 2022 - NOV 2024Contract
  • -Automated cloud provisioning and deployment tasks for client environments using AWS, Docker, and scripting.
  • -Diagnosed Linux, infrastructure, and deployment issues across client environments.
  • -Supported CI/CD workflow implementation and operational environments.
AWSDockerCI/CDLinuxPythonBash

Consultant / Freelancer Cloud & DevOps Engineer

Basecamp: Outdoor Jobs, Freelance Gigs, Networking | Berlin, Germany
AUG 2021 - NOV 2022Freelance
  • -Automated cloud provisioning and deployment tasks for client environments using AWS, Docker, and scripting.
  • -Diagnosed Linux, infrastructure, and deployment issues across client environments.
  • -Supported CI/CD workflow implementation and operational environments.
AWSDockerCI/CDLinuxPythonBash

Cloud Support Engineer

Cisco Networking Academy | Berlin, Germany
JAN 2020 - AUG 2021Internship
  • -Automated cloud provisioning and deployment tasks using AWS, Terraform, Docker, Python, and Bash.
  • -Worked with Kubernetes, ECS/Fargate, CI/CD pipelines, and cloud monitoring.
  • -Supported Linux, cloud infrastructure, container, networking, and deployment troubleshooting.
AWSTerraformKubernetesDockerECS/FargateGitHub ActionsJenkinsLinuxPython

Cloud Engineer

PC-COLLEGE Berlin | Berlin, Germany
FEB 2019 - DEC 2019Apprenticeship
  • -Supported cloud infrastructure, deployment automation, and technical operations.
CloudInfrastructureAutomation

E-commerce and Digital Marketing

PAPER & TEA | Berlin, Germany
AUG 2017 - FEB 2019Full-time
  • -Automated reporting workflows with Bash and Python and supported improvements to website performance and daily operations.
  • -Supported technical website optimization, reporting, and digital operations.
PythonBashAnalyticsDigital Operations

Salesperson

Modulor GmbH | Berlin, Germany
AUG 2016 - AUG 2017Full-time
  • -Worked in sales and customer-facing operations.
SalesCustomer ServiceOperations
// EDUCATION_AND_CERTIFICATIONS

Education & Credentials

AMAZON WEB SERVICESACTIVE

AWS Certified Cloud Practitioner

Aug 2025 - Aug 2028
Verify on Credly
AMAZON WEB SERVICES TRAINING AND CERTIFICATIONCOMPLETED

AWS re/Start Graduate

Completed
Verify on Credly
HASHICORPIN PROGRESS

HashiCorp Certified: Terraform Associate

Exam Scheduled
AMAZON WEB SERVICESIN PROGRESS

AWS Certified Solutions Architect - Associate

Expected 2026
DIGITAL CAREER INSTITUTE (DCI)COMPLETED

DevOps & Cloud Engineering Program

Nov 2024 - Mar 2026
FEDERAL UNIVERSITY OF TECHNOLOGY, OWERRI (FUTO)COMPLETED

B.Eng. Petroleum Engineering

2012 - 2016

Nigeria

// CORE_TECHNOLOGIES

Technical Skills

Cloud infrastructure, platform engineering, automation, and reliability technologies

CLOUD PLATFORMS

AWSAzureEC2S3VPCIAMLambdaECS/FargateRDSCloudFormationRoute 53CloudWatch

INFRASTRUCTURE AS CODE

TerraformAnsibleAWS CloudFormation

CONTAINERS & PLATFORM

DockerKubernetesHelmECS/FargateKustomizeGitOps concepts

CI/CD & AUTOMATION

GitHub ActionsJenkinsGitLab CIPowerShellBashDeployment automation

OBSERVABILITY & RELIABILITY

CloudWatchPrometheusGrafanaLokiIncident ResponseSREChaos EngineeringSLOsMTTR

PROGRAMMING & SCRIPTING

PythonFastAPINode.jsJavaScriptBashSQLLinux

DATA & SYSTEMS

PostgreSQLDynamoDBJSON PersistenceLinux AdministrationGitGitHub
// TECH_STACK

Engineering Toolchain

Production-tested tools used across real infrastructure deployments

AWS
AWSExpert
Cloud Platform
EC2, ECS, Lambda, S3, VPC, IAM, RDS, Route53, CloudFormation, CloudWatch
TF
TerraformAdvanced
Infrastructure as Code
Modules, remote state, workspaces, provider config, resource management
DO
DockerAdvanced
Containerization
Multi-stage builds, image optimization, security scanning, registry management
ECS
ECS/FargateAdvanced
Container Orchestration
Task definitions, service scaling, load balancing, Blue/Green deployments
GHA
GitHub ActionsAdvanced
CI/CD
Pipeline design, secrets management, matrix builds, deployment workflows
JK
JenkinsAdvanced
CI/CD
Pipeline as code, multi-branch builds, plugin management
PY
PythonAdvanced
Programming
Automation scripts, Lambda functions, infrastructure tooling, data processing
LX
LinuxAdvanced
Systems
System administration, shell scripting, process management, networking
CW
CloudWatchAdvanced
Monitoring
Metrics, alarms, log groups, dashboards, custom metrics, alerting
PG
PostgreSQLAdvanced
Database
RDS setup, query optimization, backup strategies, security configuration
DDB
DynamoDBAdvanced
Database
Table design, capacity planning, GSI/LSI, streams, DAX caching
AZ
AzureIntermediate
Cloud Platform
VM provisioning, resource groups, networking, identity management
// OBSERVABILITY_AND_RELIABILITY

Monitoring & Reliability Engineering

Production systems require full visibility. These are the observability practices and tools I implement.

EXAMPLE SLO DASHBOARD — TARGET METRICS
All systems operational
Avg Response Time
87ms
-12%
Error Rate
0.02%
-0.3%
CPU Utilization
34%
+2%
Memory Usage
61%
+8%
Deployment Freq
8/wk
+3
MTTR
4.2min
-1.8min
MONITORING STACK
>AWS CloudWatch Metrics and Alarms
>Container Insights for ECS
>ALB access logs and request metrics
>Custom business metrics
>Multi-region health checks
LOGGING ARCHITECTURE
>Structured JSON logging in Lambda
>CloudWatch Log Groups with retention
>Log Insights for query and analysis
>Error pattern alerting
>Centralized log aggregation
ALERTING AND INCIDENT RESPONSE
>SNS topic for critical alerts
>Escalation policies
>Runbook documentation per alarm
>Auto-remediation Lambda functions
>Post-incident review process
RELIABILITY PRACTICES
>SLO definition and error budget tracking
>Blue/Green deployment strategy
>Automated rollback on health failure
>Circuit breaker patterns
>Chaos engineering mindset
// SECURITY_PRACTICES

Security-First Architecture

Security is built into every infrastructure decision — not added as an afterthought.

[IAM]

IAM Least Privilege

Every Lambda, ECS task, and CI/CD pipeline gets a dedicated IAM role with only the permissions it needs. No wildcard actions, no shared credentials.

[SEC]

Secrets Management

Sensitive values stored in AWS Secrets Manager and SSM Parameter Store. Never hardcoded. Auto-rotated where supported. Referenced by ARN in Terraform.

[VPC]

Network Isolation

Private subnets for compute and data layers. Public subnets only for ALB. Security groups follow zero-trust model. VPC flow logs enabled.

[TLS]

HTTPS/TLS Everywhere

ACM certificates on all ALB listeners. S3 buckets enforce HTTPS via bucket policies. CloudFront enforces TLS 1.2+ minimum.

[CI]

Secure CI/CD Workflows

GitHub Actions secrets for credentials. OIDC federation eliminates static keys. Docker image scanning before ECR push. Signed commits enforced.

[ENC]

Encryption at Rest

RDS encryption enabled by default. S3 server-side encryption (SSE-S3 or SSE-KMS). DynamoDB encryption using AWS managed keys.

INFRASTRUCTURE SECURITY CHECKLIST
✓IAM roles - no root access
✓MFA enabled on all accounts
✓VPC flow logs active
✓CloudTrail enabled
✓S3 public access blocked
✓Encryption at rest enabled
✓Secrets Manager for credentials
✓Security groups reviewed
✓Patch management in place
✓Dependency scanning in CI/CD
CONTACT

Get in touch

I'm currently open to Cloud Infrastructure, DevOps, Platform, and SRE opportunities in Berlin or remote across Europe.

@
Emailfranklin.osuji2@gmail.com
→
TEL
Phone+49 152 59380812
→