David Leuszler

Cloud Architect | Senior Software Architect | Solutions Architect | Staff Backend Engineer
Atlanta, US | linkedin.com/in/davidleuszler | github.com/dleuszler | gethiringfunnel.com/u/david-leuszler
Target roles: Cloud Architect | Senior Software Architect | Solutions Architect | Staff Backend Engineer
David is a seasoned backend architect with 12+ years building distributed, high-performance systems across AWS and GCP. He transitioned from enterprise deployment engineering to independent consulting, delivering end-to-end cloud solutions while maintaining deep technical leadership in system design, microservices, and LLM integration.
Selected Impact Highlights
Automation and consolidation at Realty Technologies: 90% reduction in setup time and maintenance effort
Enterprise defect elimination at LivePerson: Eliminated 100+ defects, 99% reduction in production issues
GraphQL API latency optimization at OfficeSpace: 35% latency reduction via Apigee migration
LLM-powered application delivery: Document summarization, classification, and automation workflows for legal services
Core Professional Competencies
Superpowers: Distributed systems architecture and microservices design, Cloud-native optimization (50% latency reduction, 40% cost savings demonstrated), High-throughput backend systems and real-time event processing, API design and secure system integration (REST/GraphQL/OAuth2), LLM-powered application development and AI workflow automation.
Role fit: Full-Stack Engineer (Senior, adjacent), Backend/Systems Architect (Senior/Staff, primary), Cloud Solutions Architect (Senior, primary), DevOps/SRE Engineer (Senior, secondary).
Selected Work & Outcomes
Candidate Kit / HiringFunnel
CANDIDATE CONVERSION KIT

David Leuszler

Cloud Architect · Senior Software Architect · Solutions Architect
Candidate thesis

David is a seasoned backend architect with 12+ years building distributed, high-performance systems across AWS and GCP. He transitioned from enterprise deployment engineering to independent consulting, delivering end-to-end cloud solutions while maintaining deep technical leadership in system design, microservices, and LLM integration.

Routing destination

Route to Cloud Architect, Senior Software Architect, Solutions Architect teams building high-throughput services in the candidate's core stack.

90%
Automation and consolidation at Realty Technologies
99%
Enterprise defect elimination at LivePerson
35%
GraphQL API latency optimization at OfficeSpace
25%
Monolith to microservices migration
MARKET PLACEMENT SNAPSHOT

Where this candidate belongs

Page 3
Primary lane

Distributed systems architecture and microservices design. Cloud-native optimization (50% latency reduction, 40% cost savings demonstrated). High-throughput backend systems and real-time event processing. API design and secure system integration (REST/GraphQL/OAuth2).

Strong adjacent lanes

Full-Stack Engineer, Backend/Systems Architect, Cloud Solutions Architect, DevOps/SRE Engineer.

Work model

Remote-first. Hybrid considered for high-alignment local roles. Based in Atlanta, US.

Compensation positioning

Targeting $120K+. Currently: Software Engineer.

Fastest close path

Recruiter screen → hiring-manager review → technical conversation around Automation and consolidation at Realty Technologies, Enterprise defect elimination at LivePerson, GraphQL API latency optimization at OfficeSpace.

Best-fit roles
Cloud ArchitectSenior Software ArchitectSolutions ArchitectStaff Backend Engineer
Industry bridge logic

David's work in Full-Stack Engineer, Backend/Systems Architect, Cloud Solutions Architect translates directly into adjacent domains with similar architecture, scale, and reliability needs.

Employer-facing guardrails
  • Primary production depth is the candidate's core stack. Other tooling framed as ramp/adjacent unless proven.
  • Leadership framing is technical leadership (mentorship, code review, architectural direction). Formal people-management should be validated per role.
  • Additional interests are personal/research at present, not production claim.
Proof Dossier / Evidence before assertion
PROOF SECTION

Proof is organized by system, not by claim.

The next pages convert the resume into a reusable proof index: production systems, platform architecture, org-wide pattern ownership, and technical leadership.

Systems & Frameworks5
AAutomation and consolidation at Realty Technologies90% reduction in setup time and maintenance effort
EEnterprise defect elimination at LivePersonEliminated 100+ defects, 99% reduction in production issues
GGraphQL API latency optimization at OfficeSpace35% latency reduction via Apigee migration
LLLM-powered application deliveryDocument summarization, classification, and automation workflows for legal services
MMonolith to microservices migration25% improvement in reliability and scalability
Powered by David Leuszler at current role > distributed systems architecture and microservices design > cloud-native optimization (50% latency reduction, 40% cost savings demonstrated) > high-throughput backend systems and real-time event processing > api design and secure system integration (rest/graphql/oauth2)
MASTER PROOF INDEX

Master Proof Matrix

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This reusable proof index maps common senior/staff engineering requirements to candidate proof. Role-specific addenda extend — not replace — this base matrix.

Automation and consolidation at Realty Technologies
High

Requirement: Deliver on automation and consolidation at realty technologies at production scale.

Proof: 90% reduction in setup time and maintenance effort

Fit: direct
Enterprise defect elimination at LivePerson
High

Requirement: Deliver on enterprise defect elimination at liveperson at production scale.

Proof: Eliminated 100+ defects, 99% reduction in production issues

Fit: direct
GraphQL API latency optimization at OfficeSpace
High

Requirement: Deliver on graphql api latency optimization at officespace at production scale.

Proof: 35% latency reduction via Apigee migration

Fit: direct
LLM-powered application delivery
High

Requirement: Deliver on llm-powered application delivery at production scale.

Proof: Document summarization, classification, and automation workflows for legal services

Fit: direct
Monolith to microservices migration
High

Requirement: Deliver on monolith to microservices migration at production scale.

Proof: 25% improvement in reliability and scalability

Fit: direct
Distributed systems architecture and microservices design
High

Requirement: Ship work that requires distributed systems architecture and microservices design.

Proof: Demonstrated at prior roles.

Fit: direct
CANDIDATE DOCUMENTATION

Technical Proof Catalog

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ART
Automation and consolidation at Realty Technologies

90% reduction in setup time and maintenance effort

ELP
Enterprise defect elimination at LivePerson

Eliminated 100+ defects, 99% reduction in production issues

GQLAPI
GraphQL API latency optimization at OfficeSpace

35% latency reduction via Apigee migration

LLM
LLM-powered application delivery

Document summarization, classification, and automation workflows for legal services

MONOLI
Monolith to microservices migration

25% improvement in reliability and scalability

FSE
Full-Stack Engineer

Senior — role fit: adjacent.

BSA
Backend/Systems Architect

Senior/Staff — role fit: primary.

CSA
Cloud Solutions Architect

Senior — role fit: primary.

PROOF EXHIBITS

Visual Evidence Index

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GitHub — public engineering surface

github.com/dleuszler — public repositories, contribution activity, and open source project surfaces.

Portfolio — HiringFunnel

https://gethiringfunnel.com/u/david-leuszler

Hosted candidate portfolio with positioning, proof points, and conversion kit surface for recruiter routing.

LinkedIn — professional network

linkedin.com/in/davidleuszler

Professional profile and recruiter connection path.

Personal site

gethiringfunnel.com/u/david-leuszler

Additional portfolio and technical writing surface.

CONTACT AND CALL-TO-ACTION

Contact David Leuszler

Page 8

Route this candidate now.

This kit is designed to survive internal forwarding. The fastest next step is a recruiter screen, hiring-manager review, referral handoff, or direct call.

Primary fit: Cloud Architect, Senior Software Architect, Solutions Architect.

How to reach David
Location: Atlanta, US
Book a call →
Direct outreach is routed via HiringFunnel to protect candidate contact info.
Internal handoff note

David Leuszler is a Atlanta, US-based Cloud Architect. David is a seasoned backend architect with 12+ years building distributed, high-performance systems across AWS and GCP. He transitioned from enterprise deployment engineering to independent consulting, delivering end-to-end cloud solutions while maintaining deep technical leadership in system design, microservices, and LLM integration. Best fit: Cloud Architect, Senior Software Architect, Solutions Architect.