DRKENGINE
Systems Architect / Automation Engineer

Hector Rubalcava

Building resilient platforms where architecture, automation and business context meet.

I design distributed systems, cloud infrastructure and automation platforms — with deep experience in financial services, API governance and AI-augmented operations.

View my workDownload resume
GitHubLinkedIn

10+

Years of practice

6

Engineering domains

8

Impact stories

About

Systems thinking shaped for operational clarity.

My work sits at the intersection of infrastructure, software architecture and domain knowledge. I help teams move from fragile manual processes to observable, evolvable systems.

Automation first

Eliminate repetitive operational work so teams can focus on high-leverage decisions.

Observability by design

If you cannot see how a system behaves, you cannot reason about it under pressure.

Architecture as communication

Good architecture makes boundaries, contracts and trade-offs explicit across teams.

Engineering Domains

Where I focus my technical work.

Events / Workflows

Autonomous Automation

Runtime automation layers coordinating triggers, retries, orchestration rules and operational scaling.

Lending / Payments

Financial Operations

Loan lifecycle logic, payment rails, notifications and regulated flow coordination engineered for resilience.

AWS / Serverless

Cloud Infrastructure

Lambda, Step Functions, API Gateway and distributed runtime design tuned for latency and elasticity.

APIs / Apigee

Integration Surfaces

Gateway strategy, OpenAPI contracts and service communication patterns across distributed environments.

RAG / Copilots

AI-Augmented Tooling

Reasoning systems and automation intelligence built to extend operator visibility and engineering throughput.

Signals / Monitoring

Trading Intelligence

Experimental market systems for analysis, signal orchestration and runtime observation of trading behavior.

Selected Impact

Engineering outcomes I have delivered.

Lambda Performance Optimization

Execution paths refined to reduce latency, improve throughput and expose new scaling headroom in serverless flows.

AWSLambdaPerformance

Jenkins CI/CD Automation

Deployment pipelines structured for repeatability, release confidence and lower operational risk.

JenkinsCI/CDAutomation

Telegram Notification Systems

Real-time operator signaling built with webhook-driven notifications and asynchronous event delivery.

TelegramWebhooksEvents

Apigee / GCP API Integration

Gateway and cloud integration layers organized around durable API contracts and distributed access control.

ApigeeGCPAPIs

Node.js TypeScript Lambda Archetypes

Reusable engineering foundations created to standardize cloud-native patterns and accelerate delivery.

Node.jsTypeScriptArchetypes

Customer Acquisition Flow Optimization

Backend orchestration and automation layers tuned to reduce friction across onboarding and conversion workflows.

OnboardingAutomationOptimization

Financial Process Orchestration

Lifecycle coordination for lending, payments and downstream notifications implemented as resilient operations logic.

FinancePaymentsOrchestration

Event-Driven Systems

Distributed services connected through queues, consumers and workflow state transitions designed for runtime resilience.

KafkaEventsResilience

Proof of Impact

Concrete outcomes across projects.

Selected signals that show execution quality, architectural depth and operational outcomes.

Performance Breakthrough

Python Banking Optimization

Reduced Python banking process execution time from long-running query paths into near real-time behavior.

16s~200ms
PythonCore BankingPerformance

Faster offer processing and stronger operational response capacity.

Automation Acceleration

GCP / Apigee Environment Automation

Automated infrastructure lifecycle creation and teardown using Terraform and Ansible orchestration.

TerraformAnsibleGCPApigee

Environment setup became repeatable, faster and less error-prone.

API Governance

Policy and Validation Framework

Built Apigee policy and validation layers with API keys, applications, paths and OpenAPI contracts.

ApigeeOpenAPISecurityGovernance

Improved contract reliability, traffic control and security posture.

Serverless Standardization

Lambda Archetypes and AWS Layers

Created Lambda standards and TypeScript archetypes with esbuild for optimized runtime packaging and layer usage.

AWS LambdaTypeScriptesbuildStandards

Consistent serverless delivery with better runtime efficiency.

Operational Automation

Telegram Process Bot Integration

Integrated Telegram bots to orchestrate internal process actions and operational notifications.

TelegramAutomationOps

Reduced internal response times across operational teams.

Business Intelligence Layer

RAG Context Retrieval

Implemented RAG flows for business-context extraction and knowledge retrieval in operational workflows.

RAGEmbeddingsKnowledgeAI

Better contextual decision support for architecture and operations.

Architecture Modernization

Monolith to Event-Driven + ECS

Migrated and decoupled monolithic services into event-driven systems and AWS ECS operational models.

Event-DrivenAWS ECSMigrationDecoupling

Higher scalability and stronger resilience in distributed services.

Financial Domain Understanding

Core Banking Flow Depth

Worked deeply with origination, disbursement, payment types, APR, installments, payday and tender-type flows.

Core BankingFinancial FlowsDomain Engineering

Architecture decisions aligned with real financial lifecycle behavior.

Experience

Engineering evolution in stages.

Operations Foundation

Early career

Started by operating HP servers with Linux and Red Hat systems, building distributed test environments with NGINX load balancing and centralized access.

LinuxRed HatHP ServersNGINX

API Governance with Apigee

API platform era

Implemented Apigee for API control including API keys, apps, paths, OpenAPI contracts, traffic control, validation structures and security policies.

ApigeeOpenAPIAPI KeysTraffic Control

Cloud Automation on GCP

Infrastructure automation

Installed and orchestrated Apigee on GCP with Terraform and Ansible, automating full environment creation and destruction through infrastructure orchestration flows.

GCPTerraformAnsibleApigeeIaC

Certified Containerization

Container standards

Built certified containerized environments under Red Hat standards using Docker and Minikube for local development and validation.

DockerMinikubeRed Hat Standards

Serverless Engineering Standards

Serverless scale

Created Lambda engineering standards using TypeScript, JavaScript, Python and Rust, including TypeScript archetypes with esbuild to optimize AWS runtime layers.

AWS LambdaTypeScriptPythonRustesbuild

Monolith to Event-Driven Migration

Distributed systems

Led transformation and service decoupling from monolithic systems into event-driven architectures, including migration of on-premise services to AWS ECS.

AWS ECSEvent-Driven SystemsService Decoupling

Business Rule Integration

Product engineering

Integrated business rules into billing systems while improving UX/UI surfaces to align operational logic with customer-facing clarity.

Billing SystemsBusiness RulesUX/UI

Core Banking Refactoring

Financial systems

Refactored microservices around QFund core banking flows including origination, disbursement, payment types, APR, installments, payday and tender-type operations.

QFundMicroservicesCore BankingFinancial Flows

Python Performance Optimization

High-performance execution

Optimized Python processes from 16 seconds to around 200 milliseconds for customer offer queries and core banking offer management.

PythonPerformance TuningCore Banking

Telegram Automation Bot

Operational automation

Integrated Telegram bots to manage internal processes and reduce response times for operational teams.

Telegram Bot APIAutomationInternal Ops

Teams + AI Session Management

AI-assisted workflows

Integrated Microsoft Teams into session management processes with a frontend for session control and AI-supported data handling.

Microsoft TeamsFrontendAI-assisted Flows

Business Context RAG

Intelligent systems

Implemented RAG systems for business context, knowledge extraction and operational intelligence.

RAGEmbeddingsKnowledge Retrieval

Connect

Let us build something reliable.

Open to architecture leadership, automation strategy and senior engineering roles. Download a tailored profile or reach out through LinkedIn or GitHub.

GitHub

Code, experiments and open engineering traces.

LinkedIn

Professional background and network.

Email

Direct message for opportunities and collaborations.

Download Profile

Tailored professional documents.

Choose the format that best fits the conversation: executive summary, technical depth or architecture strategy.

Audience

Executive Resume

Recruiters / HR / Managers

ExecutiveATSBusiness Impact
  • • Professional summary
  • • Core strengths
  • • Engineering impact
  • • Business domains
  • • Technology ecosystem
  • • Contact links
Download PDF

Audience

Technical Profile

Senior engineers / architects / technical interviewers

Technical DepthArchitectureSystems
  • • Architecture domains
  • • Cloud and infrastructure automation
  • • API governance
  • • Serverless engineering
  • • Financial systems engineering
  • • Data platforms and AI
  • • Performance optimization
Download PDF

Audience

Architecture Dossier

CTOs / Principal architects / Engineering leaders

ArchitectureStrategyOperational Intelligence
  • • Architecture philosophy
  • • Migration thinking
  • • API governance strategy
  • • Serverless standardization
  • • Event-driven architecture
  • • Financial systems complexity
  • • AI-assisted business context
  • • Strategic value
Download PDF