26 strong Amazon Connect matches surface near Irving; drift automation is the scarce skill, Octopus Deploy absent entirely

Asked (summary):

Find 60–100 genuine, US-based Amazon Connect Architects and Lead Engineers relevant for a hybrid position in Irving, TX, or Tampa, FL. Primary priority: Amazon Connect + AWS Lambda + DevOps/CI/CD + Terraform/CloudFormation; secondary: Salesforce CTI, Contact Lens, Lex, conversational AI, drift automation. Return a deduplicated, evidence-based candidate table with the requested 26 columns, full accessible LinkedIn profile text, technical match percentages, location compatibility, and documented gaps.

This shortlist holds 100 unique candidates, each scoring at least 55 on the requested evidence-weighted technical match: 26 strong (85–100), 35 potential (70–84), and 39 partial (55–69). 80 are in the Irving/DFW area, 9 in Tampa Bay, and 11 need manual distance verification; 13 are explicitly open to work. Sourcing is predominantly single-platform — 97 of 100 rows come from public LinkedIn profiles — and candidate facts have generally not been independently verified.

Score tiers by nearest office

Each square is one candidate, grouped by nearest office and coloured by tier. Hover or tap a square for the candidate behind it.

Strong 85–100Potential 70–84Partial 55–69Outlined square = explicitly open to work

Documented evidence across the 100 profiles

Count of candidates whose public text documents each requested category. Points were awarded only where text exists; blanks mean no public claim, not a disproven skill.

Only 6 of 100 candidates document configuration-drift automation and none mention Octopus Deploy — the two scarcest requirements; Joseph Segura’s CX-as-Code parity audits are the clearest drift evidence. linkedin.com

The top of the list pairs Connect depth with IaC: Saikumar Nalla documents Connect + Lex + Lambda plus Terraform/CloudFormation and Jenkins CI/CD at 95%. linkedin.com

Tampa is thin: only 9 candidates sit in Tampa Bay versus 80 near Irving; Ashime A. (90%) is the strongest Tampa-area profile. linkedin.com

13 candidates state they are open to work, including a 95%-scored Irving local, Siri B, seeking AWS and Amazon Connect roles. linkedin.com

Read before contacting

Single-platform sourcing: 97 of 100 candidates are backed only by public LinkedIn profile URLs (one via bebee.com, one via postjobfree.com); facts are self-reported and not independently verified. Public text can be stale or incomplete, and the full-profile text is only what public web search could reach — not necessarily the complete signed-in profile.

Unverified by design: hybrid onsite willingness, $74/hour acceptance, employment type, and engagement preference remain unverified unless a profile explicitly says otherwise. A local profile location is not proof of commute or onsite willingness. No candidate has consented to contact, relocation, hybrid work, or the rate. Do not infer protected traits from names, education, or profile text.

Ranked candidate table — all 100 rows, all 26 columns

Score ↓	Candidate	Title / company	Location	Nearest office	Documented skills	Gaps	Source	Detail

The Detail button expands the full category-by-category evidence and the complete public profile text for that candidate. Full profile text is not printed by default.

Method: ranked shortlist of 100 deduplicated candidates (top scorers ≥55 of 174 extracted rows) from two regional public-web searches (32 query variants; 1,241 and 763 URL-deduplicated results). Score weights: Amazon Connect 25, Lambda/serverless 15, IaC 10, CI/CD 10, coding 10, Salesforce/integration 10, monitoring 5, drift 5, leadership 5, conversational AI 5 — points only where public text documents the category; the Connect component treats documented technical experience as qualifying and needs recruiter depth review. 97 of 100 rows are single-sourced from public LinkedIn; location is profile-stated, not verified for commute; hybrid willingness, rate, and engagement preference unverified. Table shows 25 rows by default; all rows and all 26 fields are in the CSV and the expandable detail.

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