825 Qa Integration Test Engineer jobs in New York,NY
New, Posted 20 hours ago
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Principal Engineer - Python API Development
Fidelity Investments
Hoboken, NJ 07030
~ 16 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.
New, Posted 20 hours ago
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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.
New, Posted 7 hours ago
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Project Manager - Healthmark QMS, Defined Term (Remote in EST)
Getinge
Wayne, NJ 07470
$120,160-$150,000/yr
Remote
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IT Infrastructure Architect, Staff
Curtiss-Wright
Parsippany, NJ 07054
RemotePaid 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
New, Posted 1 day ago
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Manager, HR Integration, M&A Strategy
KPMG
New York, NY 10025
OnsiteHealth InsuranceRetirement Benefit
- A minimum of five years actuarial experience in the design, and implementation of active health and welfare plans with a top accounting or benefits consulting firm. Experience in the design, and implementation of other compensation and benefit plans a plus
- Bachelor's degree from an accredited university/college
- Has either attained, or is on track to attain, FSA, EA, CEBS, CCP and/or CEP designations
- Significant experience in project management including planning, organizing, coordinating, and managing staff, clients, and/or partners towards the successful completion of a project
- Willingness and ability to travel
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
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Quality Assurance Specialist
the fedcap group
New York, NY 10017
$66,300-$75,000/yr
OnsiteBilingual Preferred
- A bachelor's degree in a related discipline required.
- 3-5 years' experience in Quality Assurance, monitoring, and/or Compliance experience in a similar role.
- Experience with Continuous Quality Improvement frameworks and instruments.
- Experience in accurate electronic data analysis and QA.
- Prior experience responding to external audit reports and preparing corrective action plans.
- Experience in developing and implementing processes for continual quality improvement.
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Quality Assurance Tech
Mercury Systems
Caldwell, NJ 07006
~ 43 min Onsite
- Typically requires a minimum of three years of quality assurance experience.
- High School diploma or General Education Degree (GED).
- Previous ISO 17025 experience.
- Previous AS9102 First article inspection experience.
- Previous AS9100 Quality Management Standard experience.
- Previous IPC-A-610 and IPC-J-STD-001 training and/or certification.
- Experience with electrical and mechanical inspection tools.
- Ability to work under a microscope as needed.
- Ability to work overtime as needed.
- Ability to travel between West Caldwell & Saddle River, NJ sites.
- Must currently have or be eligible to obtain a DoD Secret clearance.
- "This position requires you to have or obtain a government security clearance. Security clearances may only be granted to U.S. citizens."
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Project Engineer
Oerlikon Surface Solutions
Westbury, NY 11590
$75,000-$100,000/yr
~ 40 min OnsiteEducation 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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New Product Manufacturing Engineer
CACI International Inc
Florham Park, NJ 07932
~ 50 min Onsite
- Ability to work independently with minimal supervision and mentor lower-level professionals.
- Must be a US person.
- BA/BS degree in a technical discipline from an accredited college or university.
- Minimum of five (5) years of experience as a manufacturing engineer or in a related role.
- Percentage of Travel Required: Up to 10%
- Type of Travel: Local
Easy Apply
Benefits Specialist - Remote (Virtual)
Hire Standard Staffing
New York, NY
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
Engineering Operations Coordinator
ROW NYC
New York, NY 10036
What companies are hiring Qa Integration Test Engineer jobs in New York,NY?
- Fidelity Investments
- Getinge
- Curtiss-Wright
- KPMG
- the fedcap group
- Mercury Systems
- Oerlikon Surface Solutions
- CACI International Inc
- Hire Standard Staffing
- ROW NYC
- Fidelity Investments
- Getinge
- Curtiss-Wright
- KPMG
- the fedcap group
- Mercury Systems
- Oerlikon Surface Solutions
- CACI International Inc
- Hire Standard Staffing
- ROW NYC
What is the yearly salary range for Qa Integration Test Engineer jobs in New York,NY?
The yearly salary range is $66300 - $150000.
The yearly salary range is $66300 - $150000.
