974 Application Security Engineer 27127 jobs in New York,NY

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Police Officer (Secret Service Police), $75,000 Recruitment Incentive

The United States Secret Service - Queens, NY

Police Officer (Secret Service Police), $75,000 Recruitment Incentive

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Immediate Opening: Laser Marking Machine Operator (Entry-Level)

Cambridge Security Seals

New York, NY

OnsitePaid Time OffRetirement Benefit

A high school diploma with an interest in manufacturing.
A performance-driven, team-oriented and customer-focused attitude/demeanor.
Good written/verbal communication skills and an impressive work ethic.
Strong attention to detail.
A strong mechanical/technical aptitude or background with a willingness to learn.
Ability to follow both written and verbal instructions in English.
Must be able to work in a production environment, and regularly lift up to 25 pounds.
Must be reliable and on time.
COVID-19 Vaccination is strongly encouraged.
This is a manufacturing facility-based position in Rockland County. You must presently live in or have a reasonable daily commute to the Rockland County area.
You must pass initial and random drug testing.

SmartExplore AI is experimental.

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Manual Machinist- 2nd Shift

L3 Harris

Carlstadt, NJ 07072

$18.50-$59.13/hr

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High school diploma or equivalent
2+ years of experience operating manual machining equipment
Ability to read and interpret technical drawings and blueprints
Strong mechanical aptitude and attention to detail

SmartExplore AI is experimental.

New, Posted 23 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.

SmartExplore AI is experimental.

New, Posted 23 hours ago

DiversityJobs

Quality Control Engineer III (Hybrid - New York, NY)

Energy Solutions

New York, NY 10279

New, Posted 1 hour ago

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Store Security Specialist

Wegmans

New York, NY 10003

$44.25/hr

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

1+ years full-time experience as a sworn police officer with arrest authority in a military, municipal, county, state, or federal police agency
Valid license to carry a firearm
Valid driver's license
Age Requirement: Must be 18 years or older

SmartExplore AI is experimental.

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Immediate Opening: Injection Molding Machine Operator (Entry-Level)

Cambridge Security Seals

New York, NY

OnsitePaid Time OffRetirement Benefit

A high school education, Diploma, with an interest in manufacturing.
A performance-driven, team-oriented and client-focused attitude/demeanor.
Good written/verbal communication skills and an impressive work ethic.
Strong attention to detail.
A strong mechanical/technical aptitude or background with a willingness to learn.
Ability to follow both written and verbal instructions in English.
Must be able to work standing for an entire shift with frequent lifting up to 25 pounds.
The ability to work productively and cooperatively in a team environment.
Must be reliable and on time.
Must pass our mandatory drug screening.
You must presently live in or have a reasonable daily commute to the Rockland County area.
In addition, you must pass initial and random drug testing.

SmartExplore AI is experimental.

New, Posted 2 hours ago

iHire

Senior Manager, AI Engineering (People Leader) (Gen AI Platform Services)

Capital One

New York, NY 10001

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Fan Fest Event Security - US Open

Best Crowd Management

Queens, NY 11368

$18/hr

New, Posted 23 hours ago

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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.