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Hybrid Java Engineer Rest Apis Ecommerce

Dallas,TX

1802 Hybrid Java Engineer Rest Apis Ecommerce jobs in Dallas,TX

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Office Coordinator

Aborder Products

Irving, TX 75061

$70,000-$80,000/yr
~ 22 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or GED
  • Minimum Age 16
  • Authorized to work in US
  • Driver License
  • Stand long periods
  • Background Check
SmartExplore AI is experimental.
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New, Posted 15 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
SmartExplore AI is experimental.
View now
New, Posted 15 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 32 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
  • 8+ years (typically 10+) building and operating production platforms and services at scale
  • Deep software engineering expertise in Python and distributed systems
  • A track record of building production‑grade services, libraries, and internal platforms
  • Linux fluency and scripting are required
  • Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
  • Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
  • Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
  • Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
  • Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
  • The base salary range for this position is $107,000-216,000 USD per year.
  • Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
SmartExplore AI is experimental.
View now
New, Posted 1 day ago
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Barefoot Student
Ecommerce Marketplace Intern

Saitell

Dallas, TX 75217

Flexible Schedule
New, Posted 16 hours ago
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Customs Trade Coordinator - S2

FedEx Logistics

Dallas, TX 75261

RemoteUrgently HiringEducation AssistanceHealth InsuranceRetirement Benefit

  • HS Diploma or GED required
  • Data entry/keyboard experience required
  • Working knowledge of MS Office and email applications such as Outlook using multiple screens and windows
  • Excellent communication skills, verbal and written
  • Organizational Skills
  • Inter-personal skills
  • Problem solving skills
  • Handle high volume of work
  • Handle time sensitive work
  • Ability to work independently with minimum supervision
  • Ability to use multiple systems and reference material
  • Interact with customers, carriers, brokers, government agencies, internal staff, management of all levels, internal departments
  • This is a primarily remote position; however, employees must be willing and able to report onsite as needed based on business and operational requirements
  • Monday–Friday | 1:00 PM – 9:00 PM
SmartExplore AI is experimental.
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New, Posted 1 day ago
DiversityJobs
Senior Director of Sales, Natural & Ecommerce Channels

Chobani

Plano, TX 75024

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires TravelUrgently Hiring

  • Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
  • Basic mechanical aptitude and interest in technical systems
  • Willingness to learn and read electrical and mechanical schematics
  • Ability to diagnose and solve basic technical problems
  • Strong written and verbal communication skills
  • Basic working knowledge of Microsoft Excel, Word, and PowerPoint
  • Valid driver's license and ability to obtain a passport, if required for travel
  • Ability to meet on-site safety, environmental, and customer requirements
SmartExplore AI is experimental.
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New, Posted 16 hours ago
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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

New, Posted 1 day ago
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E-Commerce Architect

SRS Distribution - McKinney

Garland, TX 75049

New, Posted 22 hours ago
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Label Machine Operator - A Shift

Avery Dennison

Dallas, TX 75232

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or GED
  • 1-2 years of related manufacturing or machine operation experience
  • Strong mechanical skills and the ability to analyze equipment performance
  • Ability to lift up to 50 lbs and stand for the duration of a shift
  • Color vision proficiency to distinguish product variations
  • Comprehensive background check
  • Drug screening
SmartExplore AI is experimental.
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