King Dominguez

 


Lead Software Engineer, AI Native Component Engineering

(412) 555-6394
king.dominguez@example.com
linkedin.com/example/kingdominguez
Pittsburgh, PA 15222

STRENGTHS

       
Responsible AI

Validated generated code with peer review, tests, security checks, and data controls. Teams gained safer adoption patterns.

Platform Leadership

Guided shared SDK and framework delivery across application teams. Design reviews became clearer, and reusable patterns gained trust.

Production Stability

Turned recurring recovery work into tested automation with rollback safeguards. Engineers spent less time repeating familiar fixes.

Technical Mentoring

Coached engineers through readiness reviews and architecture decisions. Peers regularly sought practical guidance on difficult production issues.

Cloud Delivery

Connected cloud native design with CI/CD, observability, and secure operations. Releases became easier for teams to manage.

SKILLS

       
  • Java
  • Python
  • JavaScript
  • Responsible AI
  • AI Native Tooling
  • System Design
  • Cloud Native Engineering
  • CI/CD
  • Continuous Delivery
  • Automation
  • Secure Coding
  • Application Resiliency
  • Automated Testing
  • Code Review
  • Agile Engineering

LANGUAGES

       
English
Native
40
Spanish
Intermediate
20

MY CAREER

    
10Years
  • Lead Software Engineer, AI Developer Platform at Aster Peak Digital Systems (3.6 Years)
  • Senior Software Engineer at Keystone Cloud Software (2.5 Years)
  • Software Engineer II at Riverbend Commerce Technologies (2.2 Years)
  • Software Engineer at Summit Harbor Software (1.7 Years)

SUMMARY

Lead software engineer with 10 years of experience building secure, scalable applications, cloud native platforms, SDKs, and shared developer capabilities. Advanced Java and Python practitioner with strong JavaScript experience across system design, production delivery, automated testing, CI/CD, application resiliency, security, and operational troubleshooting. Leads practical adoption of approved AI assisted development for code review, refactoring, test acceleration, incident analysis, and root cause analysis. Establishes validation standards for correctness, performance, data sensitivity, secure input and output handling, peer review, resiliency, and automated testing. Delivered reusable frameworks, production AI capabilities, automated remediation, and dependable developer platforms. Brings thoughtful technical leadership, mentoring, architecture guidance, and community building that can support secure, stable, scalable engineering outcomes.

EXPERIENCE

Lead Software Engineer, AI Developer Platform

Aster Peak Digital Systems
 February 2023 - Present
 Pittsburgh, PA

Leads cloud native platform delivery, reusable Java and Python components, internal SDKs, automated upgrades, and approved AI assisted engineering workflows. Guides architecture reviews, production stability, responsible AI validation, and an engineering community of practice.

  • Packaged reusable Java and Python components into a cloud native developer platform for engineering teams.
  • Established AI output validation with peer review, testing, security checks, performance verification, and data controls.
  • Built versioned service components with automated dependency upgrades, keeping adopters current through CI/CD delivery.
  • Paired AI incident hypotheses with logs, metrics, traces, and engineer verification during production analysis.
  • Converted recurring recovery procedures into tested automation with observability and rollback safeguards for stronger resiliency.
  • Led architecture reviews and communities of practice covering responsible AI, secure coding, testing, and reusable frameworks.

Senior Software Engineer

Keystone Cloud Software
 July 2020 - January 2023
 Philadelphia, PA

Designed Java and Python services for a multi tenant cloud platform, supporting APIs, operational controls, internal SDKs, controlled delivery, responsible AI adoption, and production reliability. Mentored engineers through architecture and readiness decisions.

  • Designed Java and Python services that translated scalability, security, and reliability needs into operational APIs.
  • Created an internal SDK standardizing authentication, telemetry, retry behavior, and configuration across application teams.
  • Expanded CI/CD pipelines with unit, integration, security, and deployment checks for controlled production promotion.
  • Introduced human validated AI code review and test ideation for secure, maintainable engineering outcomes.
  • Diagnosed production issues through logs, traces, metrics, code analysis, and controlled reproduction techniques.
  • Mentored engineers through design reviews and readiness assessments focused on resiliency, testing, security, and ownership.

Software Engineer II

Riverbend Commerce Technologies
 March 2018 - June 2020
 Cleveland, OH

Delivered Java and JavaScript transaction services from technical design through testing, deployment, monitoring, and production support. Refactored shared libraries, strengthened continuous delivery, supported cloud native migration, and reduced manual recovery work.

  • Delivered Java and JavaScript transaction services from technical design through monitored production deployment.
  • Refactored shared modules into reusable libraries with documented interfaces and automated test suites for product teams.
  • Expanded delivery checks for integration behavior, configuration validation, dependency risk, and rollback readiness.
  • Investigated recurring service incidents, documented root causes, and implemented code or automation changes.
  • Applied secure coding across authentication, authorization, input validation, dependencies, and sensitive application data.
  • Supported containerized cloud migration with automated provisioning, health checks, and scalable runtime operations.

Software Engineer

Summit Harbor Software
 June 2016 - February 2018
 Akron, OH

Built Java and JavaScript application features under senior engineering review, contributing unit testing, integrations, release documentation, deployment support, production monitoring, and disciplined software delivery practices.

  • Built Java and JavaScript features from requirements with maintainable code, tests, integrations, and release documentation.
  • Debugged application defects through logs, controlled reproduction, code inspection, and targeted tests.
  • Added regression coverage around frequently changed modules, strengthening release confidence within continuous integration.
  • Created reusable utilities for validation, configuration, and API communication under senior engineering review.
  • Supported deployment monitoring by documenting failure scenarios, escalation paths, and operational responses.
  • Strengthened secure development through code review, dependency maintenance, testing, and disciplined delivery practices.

PROJECTS

Reusable AI Component Platform
 2025

Created drop in components, internal SDKs, automated upgrades, and validation patterns for secure AI assisted engineering adoption.

Cloud Service Reliability Automation
 2022

Automated recurring detection and remediation across cloud services, combining observability, rollback safeguards, and production readiness practices.

LEADERSHIP & AWARDS

  • Led an engineering community of practice focused on responsible AI, reusable frameworks, secure coding, and cloud native delivery.
  • Recognized by engineering peers for practical mentoring across architecture reviews, production readiness, testing, and operational ownership.
  • Built shared developer capabilities that helped application teams adopt standardized SDK patterns and controlled delivery practices.

EDUCATION

Bachelor's Degree in Computer Science
University of Pittsburgh   GPA: 0
 2016
 Pittsburgh, PA
Coursework: Software engineering, algorithms, database systems, operating systems

CERTIFICATIONS

  • AWS Certified Developer Associate 2026
  • Software Engineering Certification 2026

TECHNICAL SKILLS

  • Programming Languages: Java, Python, JavaScript
  • AI Engineering: AI assisted development, AI native tooling, machine learning
  • Developer Platforms: SDKs, frameworks, developer platforms
  • Cloud Platforms: AWS, cloud native engineering, containerized workloads
  • Delivery Practices: CI/CD, continuous delivery, release automation
  • Testing Tools: Unit testing, integration testing, automated testing
  • Security Engineering: Secure coding, authentication, authorization
  • Reliability Engineering: Application resiliency, observability, rollback safeguards
  • Operational Analysis: Incident analysis, root cause analysis, troubleshooting
  • Software Methods: Software Development Life Cycle, agile engineering, code review
  • Integration Engineering: APIs, service configuration, dependency management
  • AI Validation: Peer review, correctness checks, performance verification

SKILLS

       
  • Java
  • Python
  • JavaScript
  • Responsible AI
  • AI Native Tooling
  • System Design
  • Cloud Native Engineering
  • CI/CD
  • Continuous Delivery
  • Automation
  • Secure Coding
  • Application Resiliency
  • Automated Testing
  • Code Review
  • Agile Engineering

PROFESSIONAL AFFILIATIONS

  • Engineering community of practice participant, responsible AI and reusable framework discussions.
  • Cloud platform engineering collaborator, supporting secure delivery, resiliency, and shared developer capabilities.

LANGUAGES

       
  • English (Native)
  • Spanish (Intermediate)

ADDITIONAL INFORMATION

Work Status
: Authorized to work in United States. No sponsorship required.

ADDITIONAL INFORMATION

Work Status
: Authorized to work in United States. No sponsorship required.

REFERENCES

AVAILABLE ON REQUEST