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Hybris Devops

New York,NY

889 Hybris Devops jobs in New York,NY

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Food Service Manager

ARAMARK

Mamaroneck, NY 10543

New, Posted 1 day ago
Recommended
Senior Software Developer - AWS / Platform

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$141,900-$190,300/yr
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Food Service Manager

ARAMARK

New Rochelle, NY 10804

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Buyer I

Crane Company

Saddle Brook, NJ 07663

~ 23 min OnsiteUrgently HiringEducation AssistancePaid Time OffRetirement Benefit

  • Bachelor's degree in Business, Supply Chain Management, or related field
  • Excellent analytical, problem solving/decision making skills; ability to make timely, effective, fact-based decisions
  • Knowledgeable in Microsoft office suite software (e.g. Word, Excel, etc.)
  • Strong interpersonal skills and demonstrated ability to perform and produce results in multifunctional teams in a dynamic work environment
  • Proven ability to develop collaborative relationships and influence up, down, and across organizational lines
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iHire
Retail Store Manager

Goodwill

Pompton Plains, NJ 07444

$22 bonus
Flexible Schedule
New, Posted 2 hours ago
Culinary Agents
Prepared Foods ATL

Whole Foods

Morristown, NJ 07960

$20.05-$35/hr
Flexible Schedule
New, Posted 2 hours ago
Culinary Agents
Prepared Foods Associate Team Leader (Culinary & Deli Assistant Department Manager)

Whole Foods Market - Manhasset

Manhasset, NY 11030

$20.05-$35/hr
Flexible Schedule
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Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ 07311

~ 22 min OnsiteEducation 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.
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New, Posted 1 day ago
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Software Development Engineer in Test II - iOS, Swift, Xcode

Disney Entertainment and ESPN Product & Technology Careers

New York, NY 10025

$102,100-$136,900/yr
Culinary Agents
Chef de Cuisine

Sant Ambroeus SoHo

New York, NY 10012

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