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From Home Coveo Jobs (NOW HIRING)

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How much do from home coveo jobs pay per year?

As of Aug 6, 2026, the average yearly pay for from home coveo in the United States is $108,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $123,000.00 per year, depending on experience, location, and employer.
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Lead, E‑Commerce Engineering- AEM

1 point system

Fort Lauderdale, FL • On-site

$98K - $129K/yr

Contractor

Re-posted 9 days ago


Job description

Complete JD:

Job Title

Lead, E‑Commerce Engineering- AEM

Client

Confidential

Location

Hybrid in Fort Lauderdale, FL - Onsite (Mon–Thu), WFH Fridays

Type of Hire

Long term contract to Hire

Role Overview
We are seeking a senior, hands-on Lead E‑Commerce Engineer to drive the design, development, and optimization of customer-facing digital commerce platforms. This role blends technical leadership with active hands-on delivery, owning architecture, platform integrations, and engineering execution across large-scale e‑commerce experiences.
You will lead a small but high-impact engineering function, partner closely with Product, UX, Content, and Marketing teams, and ensure the platform is scalable, secure, performant, and conversion-focused.

Required Experience & Qualifications
Core Requirements

  • 7+ years of software engineering experience with 3+ years in a technical leadership role
  • Strong hands-on experience with React-based web applications and APIs
  • Deep experience with Adobe Experience
  •   Manager (AEM) (3+ years strongly preferred)
  • Solid knowledge of Java / Spring Boot and modern backend integration patterns
  • Experience with microservices, SPAs, event-driven and serverless architectures
  • Strong understanding of PCI, WCAG, PII, encryption, and security best practices

E‑Commerce & Web Stack

  • Salesforce Commerce Cloud, OMS, CRM integrations
  • API Gateways, GraphQL, OAuth
  • CDN, DNS, SSL, Akamai / edge computing
  • AI-driven search (e.g., Coveo or similar)

Cloud & DevOps

  • AWS (API Gateway, containerized services)
  • Docker, Kubernetes, Terraform / CloudFormation
  • CI/CD tools: Jenkins, GitLab, Bitbucket
  • Monitoring: Dynatrace, Splunk, Grafana

Quality & Testing

  • Automated testing and QA tools: Playwright, BrowserStack, Xray
  • Performance & security testing: K6, Lighthouse CI, SonarQube

AI Enablement

Hands-on use of AI tools (Copilot, OpenAI, Kiro AI) for development, testing, or analytics