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Azure Devops Cloud Engineering

New York,NY

934 Azure Devops Cloud Engineering jobs in New York,NY

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AI Systems Lab- Test Engineering Technician

Advanced Micro Devices

Secaucus, NJ 07094

~ 18 min OnsiteUrgently Hiring

  • Hands on experience testing and troubleshooting semiconductor GPUs, switches and CPUs in a semiconductor lab environment or reliability testing facility.
  • Previous experience working on server racks and datacenter.
  • Experience with MS Excel and PowerPoint
  • Demonstrated effective and collaborative communication and teamwork experience
  • Experience and ability to work autonomously and also collaboratively within a team environment to support Lab teams, Engineering, NPI, and Services
  • Work with lab tools (e.g.: diagnostics, tests, and standard semiconductor industry hardware and software)
  • Experience with Windows Server OS
  • Experience with Linux PXE services a plus
  • High attention to detail, and commitment to safety, quality, and continuous improvement
  • Associate's degree in Electronics, Information Technology or related, or an or equivalent combination of education and experience is preferred
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Project Engineer

Oerlikon Surface Solutions

Westbury, NY 11590

$75,000-$100,000/yr
~ 40 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in materials science or mechanical engineering
  • 3 years job experience in thermal spray or PVD coating technologies
  • Must be proficient in using business and communications software (preferably Word, Excel, PowerPoint, common Windows operating systems, and Outlook)
  • Ability to travel 30% travel may be required
  • Work Location: In person
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Director of Engineering

Marine Electric Systems

South Hackensack, NJ 07606

~ 26 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Electrical Engineering or a closely related engineering discipline.
  • Significant experience in electrical engineering, sustaining engineering, production engineering, test engineering, or engineering leadership in a manufacturing environment.
  • Strong hands-on technical knowledge of electrical and electromechanical systems.
  • Experience with PCB troubleshooting, electrical testing, components, assemblies, and production support.
  • Ability to read and interpret drawings, schematics, specifications, technical data packages, and test procedures.
  • Experience supporting manufacturing, production, repair, or sustainment work.
  • Ability to make practical engineering decisions with imperfect information.
  • Strong communication skills and ability to work cross-functionally with production, quality, procurement, sales, and leadership.
  • Demonstrated ability to mentor junior engineers or technical staff.
  • Strong organizational skills and ability to create structure in a fast-moving small-company environment.
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Manufacturing Engineer

Whippany Actuation Systems

Whippany, NJ 07981

$90,000-$110,000/yr
~ 50 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • A bachelor's degree in manufacturing, Aerospace, or Mechanical Engineering from an accredited university or college;
  • One year of experience in a manufacturing environment which includes interpreting blueprints and familiarity with GD&T;
  • Previous experience with CAD systems;
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Electronic Warfare, Systems Engineering Lead

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteUrgently HiringBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree and minimum 9 years of prior relevant experience.
  • Graduate Degree and a minimum of 7 years of prior related experience.
  • In lieu of a degree, minimum of 13 years of prior related experience.
  • 9 years of experience in systems engineering for radar, RF, or sensor systems
  • Ability to obtain secret clearance
  • Travel as needed to support program execution and customer engagement, including periodic travel to Amityville, NY - 25%
  • 10%-20% travel
  • Background checks
  • Pre-employment substance abuse testing
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Manager, SAP S4 Public Cloud P2R/EPPM Lead

KPMG

New York, NY 10025

OnsiteHealth InsuranceRetirement Benefit

  • Minimum of six years of recent external management consulting experience, including at least Two full lifecycle SAP S/4HANA Public Cloud implementation with core responsibility for Enterprise Portfolio and Project Management (EPPM)
  • Experience supporting at least two SAP implementations focused on Enterprise Portfolio and Project Management (EPPM) and Project to Result (P2R) capabilities
  • Strong delivery execution skills in SAP S/4HANA transformation programs, with experience supporting phases from planning and design through build, testing, cutover, and hypercare
  • Demonstrated ability to contribute to enterprise transformation initiatives by supporting process standardization, collaborating on high quality deliverables, and applying SAP S/4HANA Public Cloud digital tools for EPPM and project financial management
  • Bachelor's degree in business administration, Information Systems, Sales, Finance, or related field from an accredited college/university
  • Travel may be up to 50-80%
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future
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Chief Systems Engineer

L3 Harris

Clifton, NJ 07011

~ 30 min OnsiteUrgently HiringBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree with a minimum of 12 years of prior related experience.
  • Graduate Degree with a minimum of 10 years of prior related experience.
  • In lieu of a degree, minimum of 16 years of prior related experience.
  • 2 years of experience in Cameo and SysML v1
  • 3 years experience with Agile development and using JIRA
  • Active Secret Security Clearance- Ability to obtain and maintain any additional clearances as required.
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Principal Engineer - Python API Development

Fidelity Investments

Secaucus, NJ 07094

~ 18 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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Principal Engineer - Python API Development

Fidelity Investments

Weehawken, NJ 07086

~ 12 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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IT Infrastructure Architect, Staff

Curtiss-Wright

Parsippany, NJ 07054

RemoteUrgently HiringPaid Time OffRetirement Benefit

  • 5-12 years of experience in infrastructure, systems engineering, or related roles
  • Broad experience in enterprise IT environments (not limited to a single system or tool)
  • Exposure to core infrastructure areas such as: Identity and access management (e.g., Active Directory or similar)
  • Server environments (Windows and/or Linux)
  • Application or platform support
  • Experience participating in system upgrades, migrations, or integrations
  • Demonstrated ability to learn and adapt to new technologies quickly
  • Strong communication and interpersonal skills
  • Proven ability to produce clear documentation with attention to detail
  • Exposure to Microsoft environments (Active Directory, Windows Server, SQL Server, Exchange) preferred
  • Experience with virtualization (e.g., VMware) preferred
  • Familiarity with cloud platforms (e.g., Azure) preferred
  • Exposure to CMDB or service management tools preferred
  • Experience working alongside ERP or business systems teams preferred
  • Any experience with platform ownership or application support preferred
SmartExplore AI is experimental.
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