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Hi!

I'm PETER BARASA

Cloud-Native Backend and DevSecOps Engineer

I design and build high-performance backend systems, cloud infrastructure, and DevOps pipelines engineered for security, scalability, reliability, and cost efficiency.

My Engineering Philosophy

I design and engineer mission-critical financial technology systems where 99.99% uptime is the baseline, not the objective . My work focuses on rigorous architectural standards, including microservices-driven system design and the implementation of secure, observable, and scalable DevSecOps pipelines.

My motivation is to create architectures for:

Infrastructure that can earn and support millions of user requests with less than 1 second delay.

Cloud technology that can be used without having to change the current system if it needs to grow in size.

Security and privacy plans that use the most up-to-date standards as identified by PCI-DSS, KYC/AML, and ISO 27001.

Systems that have capabilities to monitor themselves so that potential problems will be discovered before a customer experiences them.

Provide teams with tools that allow them to write infrastructure code and create a workflow to deploy it using GitOps.

Impact Areas

I've worked in

System Design as Senior Architect
Cloud Native Architecture
DevSecOps Engineering
Backend Engineering
Platform Engineering

Architecture and System Design

Cloud-Native Architecture

  • Microservices orchestration with service mesh patterns Istio, Linkerd
  • Event-driven architectures using Kafka, RabbitMQ, AWS EventBridge
  • API gateway patterns: rate limiting, circuit breakers, retry logic
  • Backend-for-Frontend (BFF) patterns for mobile-first experiences
  • Serverless architectures leveraging Lambda, Step Functions, API Gateway

Mobile-Backend Integration

  • Super app architecture design (mini-app frameworks, SDK integration)
  • Mobile-first APIs with GraphQL, gRPC, REST optimized for low-bandwidth environments
  • Session resilience and offline-first synchronization patterns
  • Device attestation and secure mobile authentication flows
  • Real-user monitoring (RUM) and mobile crash analytics integration

Security and Compliance

  • Zero Trust architecture implementation (identity-based perimeter, least privilege)
  • OAuth2/OIDC flows, JWT lifecycle management, API key rotation
  • Secrets management with HashiCorp Vault, AWS Secrets Manager
  • Penetration testing mindset: threat modeling, secure coding, OWASP Top 10
  • FinTech compliance: PCI-DSS, KYC/AML, GDPR privacy by design

Technical Arsenal

Cloud Platforms and Infrastructure

AWS

PRIMARY

EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch, API Gateway

Designing multi-AZ, fault-tolerant architectures

Cost optimization through right-sizing and reserved capacity

Security groups, IAM policies, VPC design

Azure

IAM, Security Groups, VPC, WAF, CSPM, Cloud Workload Protection

Shared responsibility model implementation

Privileged Access Management (PAM)

Infrastructure as Code

Terraform, Pulumi, CloudFormation

Modularized, reusable IaC templates

State management and drift detection

Multi-environment provisioning (dev/staging/prod)

Containerization

Docker, Kubernetes (EKS, OpenShift), Helm

Deployment strategies: blue-green, canary, rolling updates

Resource optimization and auto-scaling policies

Service mesh integration for observability

Backend Engineering and APIs

Java Ecosystem

Spring Boot, Spring Cloud, Hibernate

  • RESTful microservices with circuit breakers
  • Async processing with Spring WebFlux
  • Distributed transaction management

Python Stack

FastAPI, Django, Flask, Tornado

  • High-performance async APIs (10k+ req/sec)
  • Background processing with Celery, Redis
  • ML model serving with FastAPI

Node.js

Express, NestJS

  • Real-time systems with WebSockets and SSE
  • Middleware-based auth and authorization
  • Event-driven services with message queues

Performance Engineering

Go, Rust (learning)

  • Low-latency microservices for payments
  • gRPC-based inter-service communication

API Design

REST, GraphQL (Apollo), gRPC, OpenAPI/Swagger

  • Versioning strategies and backward compatibility
  • Rate limiting, throttling, quota enforcement
  • Comprehensive documentation with examples

Databases and Data Layers

PostgreSQL

Advanced SQL, indexing strategies, stored procedures

Query optimization for high-transaction systems

Replication (master-slave, multi-master)

JSONB for semi-structured data

NoSQL

MongoDB, DynamoDB, Cassandra

Schema design for horizontal scalability

Partition key strategies for DynamoDB

Change Data Capture (CDC) patterns

Caching and Real-Time

Redis, Memcached

Cache invalidation strategies (TTL, event-based)

Pub/sub for real-time notifications

Session management and rate limiting

Messaging Systems

Kafka, RabbitMQ, AWS SQS/SNS

Event sourcing and CQRS patterns

Dead letter queues and retry mechanisms

Exactly-once delivery guarantees

DevSecOps and CI/CD

CI/CD Pipelines

GitHub Actions, GitLab CI, Jenkins, Tekton

  • Multi-stage pipelines (test → security scan → deploy)
  • Automated rollback on deployment failure
  • Feature flags for progressive rollouts

Security Automation

  • Code quality & SAST: SonarQube , Checkmarx
  • Container image scanning: Snyk , Trivy
  • Supply chain security: OWASP Dependency-Check
  • Automated secrets scanning: git-secrets , TruffleHog

GitOps

FluxCD, ArgoCD

  • Declarative infrastructure management
  • Automated sync from Git → Kubernetes
  • Environment promotion workflows

Linux Administration

Ubuntu, RHEL, CentOS

  • Shell scripting (Bash, Python, Groovy)
  • System hardening & firewall rules (iptables, firewalld)
  • Process monitoring and performance tuning

Observability and Site Reliability

Metrics

Prometheus, Grafana, Datadog, New Relic, Dynatrace

Custom metrics and alerting rules

SLI/SLO/SLA definition and tracking

Business metrics dashboards

Logging

ELK Stack, Splunk

Centralized log aggregation

Log correlation for distributed tracing

Anomaly detection with ML-powered alerts

Distributed Tracing

OpenTelemetry, Jaeger, Zipkin

Request flow visualization across microservices

Latency bottleneck identification

Context propagation in async systems

AIOps

Machine Learning for operations

ML for RCA, anomaly detection

Classification/clustering for log analysis

Automated incident correlation

Security and Identity Management

Authentication and Authorization

  • OAuth2/OIDC, SAML, JWT, API Keys
  • Access control models: RBAC and ABAC
  • Multi-factor authentication (MFA) integration

Security Tools

  • Firewalls: Palo Alto, Fortinet, AWS WAF
  • IDS/IPS: Snort, Suricata
  • PAM: CyberArk, BeyondTrust
  • Vulnerability scanners: Nessus, Qualys, OpenVAS

Compliance and Governance

  • ISO 27001, NIST Framework, CIS Controls
  • PCI-DSS payment security standards
  • GDPR data protection principles
  • Audit trail logging and evidence collection

AI/ML Integration

Model Deployment

  • OpenAI APIs , Hugging Face Transformers
  • TensorFlow Serving , TorchServe , ONNX Runtime
  • Model versioning and A/B testing
  • ML-powered features: fraud detection, chatbots, recommendations

ML for Operations

  • Predictive scaling based on traffic patterns
  • Anomaly detection in system metrics
  • Automated incident classification

Featured Projects and Implementations

Enterprise FinTech Authentication Service

VIEW LIVE

Production-grade authentication for systems handling 100k+ daily active users

Architecture

• Spring Boot microservice with JWT + OAuth2 flows

• PostgreSQL with row-level security for multi-tenancy

• Redis for token blacklisting and session management

• AWS ECS Fargate deployment behind Application Load Balancer

• Nginx reverse proxy with SSL termination

Security Features

• Device fingerprinting and anomaly detection

• Rate limiting per user/IP (100 req/min)

• Audit logs for all authentication events

• Compliance with PCI-DSS password policies

Observability

• Prometheus metrics (login success rate, latency p95/p99)

• Distributed tracing with OpenTelemetry

• Grafana dashboards for real-time monitoring

Cloud-Native E-Commerce Platform

Visit Site

Scalable microservices architecture demonstrating DevOps excellence

Tech Stack

• Backend: Python (FastAPI), Node.js (NestJS), Java (Spring Boot)

• Database: PostgreSQL (orders), MongoDB (catalog), Redis (cart/sessions)

• Messaging: RabbitMQ for async order processing

• Infrastructure: Terraform → AWS EKS + RDS + ElastiCache

DevOps Pipeline

• GitHub Actions for CI/CD

• Blue-green deployments with automatic rollback

• Infrastructure drift detection

• Cost tracking per environment ($150/month for staging)

Observability Stack

• Prometheus + Grafana for metrics | ELK Stack for centralized logging | Jaeger for distributed tracing

• Custom SLO tracking (99.9% uptime, <500ms p95 latency)

Production Observability Platform

Explore Site

End-to-end monitoring solution for microservices environments

Components

• Metrics: Prometheus with custom exporters

• Visualization: Grafana with 15+ pre-built dashboards

• Logging: Elasticsearch + Logstash + Kibana

• Alerting: AlertManager → Slack/PagerDuty integration

Features

• Automatic service discovery in Kubernetes

• Pre-configured alerts (CPU/Memory/Disk, API errors, database connections)

• Log correlation with trace IDs

• Cost analysis dashboards (AWS CloudWatch costs per service)

DevSecOps Pipeline Template

View Repository

Reusable CI/CD pipeline with security-first approach

Pipeline Stages

1. Build: Multi-stage Docker builds

2. Test: Unit, integration, contract tests

3. Security: SonarQube, Snyk, secrets detection

4. Deploy: Kubernetes rolling update

5. Verify: Smoke tests, rollback on failure

Security Gates

• No critical/high vulnerabilities in production

• Code coverage >80% required

• OWASP dependency scan pass

Tools: GitHub Actions, SonarQube, Trivy, ArgoCD

Continuous Learning and Certifications

Pursuing (2025)

• AWS Certified Solutions Architect (Professional)

• Certified Information Systems Security Professional (CISSP)

• TOGAF 9 Certified (Enterprise Architecture)

• Certified Kubernetes Administrator (CKA)

Active Learning

• SAFe Agile Framework (for enterprise architecture roles)

• Rust for high-performance microservices

• Advanced Kubernetes patterns (service mesh, multi-cluster)

• FinTech regulations (PSD2, Open Banking standards)

Domain Expertise - FinTech and Payments

Understanding of:

• Mobile money ecosystems (M-Pesa Daraja APIs, Airtel Money and M-Banking architecture)

• Payment gateway integrations (Stripe, Flutterwave, Paystack)

• Transaction lifecycle management

• Fraud detection patterns

• Regulatory compliance: KYC/AML, PCI-DSS, GDPR

Business Context:

• East African market dynamics (mobile-first, low bandwidth)

• Super app strategies (financial services + commerce + utilities)

• Agent network management for cash-in/cash-out

• Cross-border remittance systems

Engineering Principles

Architecture

• Start with Minimum Viable Architecture-build incrementally

• Design for testability, deployability, and observability from day one

• Embrace evolutionary design

• Decoupling deployments from releases

Security

• Shift-left security-integrate checks in CI/CD

• Zero Trust mindset-verify every request

• Defense in depth-multiple security layers

Operations

• Automate toil-if you do it twice, script it

• Observability over monitoring-understand why things fail

• Blameless post-mortems-learn and improve

Collaboration

• Documentation is code-Architecture Decision Records (ADRs), runbooks, API specs

• Mentorship mindset-uplift team capabilities through pair programming, code reviews

• Agile pragmatism-Scrum/Kanban as tools, not dogma

Education and Background

Bachelor of Science in Computer Science

Egerton University

Core Academic Domains

  • Operating Systems design and process scheduling
  • Advanced Data Structures and Algorithm analysis
  • Distributed Systems and Cloud Computing architecture
  • Database Systems (transaction models, indexing, normalization)
  • Computer Networks and Network Security
  • Software Engineering methodologies and SDLC models

Applied & Practical Focus

  • Systems programming and concurrency modeling
  • Relational and NoSQL database implementation projects
  • Cloud-native deployment simulations and virtualization labs
  • Secure software development practices and threat modeling
  • Team-based capstone software engineering projects

Professional Foundation

  • 3+ years production-grade software development
  • Agile/Scrum delivery environments
  • Exposure to large-scale distributed systems
  • Cross-functional collaboration (product, security, operations)

Let's Connect

I'm passionate about building technology that drives financial inclusion and economic empowerment. If you're working on:

Mobile payment platforms or super apps
Cloud-native SaaS products at scale
DevSecOps transformation initiatives
High-reliability fintech systems

Find me Elsewhere

GitHub BlueSky X Email
Nairobi, Kenya · Remote / Hybrid

Quick Reference

Primary Skills: Cloud Architecture | Backend Engineering | DevSecOps | FinTech Systems

Cloud: AWS (expert), Azure (intermediate)

Languages: Java, Python, Golang, C++, Node.js, SQL, Bash

Focus Areas: Payment Systems, Microservices, Security, Observability

Career Stage: Transitioning to Senior/Architect roles