742 Application Security Engineer jobs in New York,NY

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Senior Distinguished Engineer, AI Compute (Remote Eligible)

Capital One

New York, NY 10001

Remote

New, Posted 17 hours ago

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Director, Google Cloud Security, Solution Architect

KPMG

New York, NY 10025

Minimum eight years of recent experience in security architecture
At least four years of hands-on experience designing and implementing security solutions on Google Cloud Platform
Bachelor's degree from an accredited college/university or a minimum of ten years of equivalent experience
Google Cloud Professional Cloud Security Engineer, Professional Cloud Architect, or other relevant Google Cloud certifications are highly preferred
Certifications like CISSP are a plus
Deep technical expertise in Google Cloud security services, including core Google Cloud Platform services, Google SecOps SIEM/SOAR, Security Command Center, and other native security controls
Hands-on experience with Google AI technologies such as Vertex AI and Gemini Enterprise, and their integration with enterprise security solutions
Exceptional client-facing and presentation skills with a demonstrated ability to lead technical sales discussions, build client relationships, and align solutions with business needs
Experience in collaborating with cross-functional teams such as system administrators, data scientists, architects, and cybersecurity engineers to customize solutions
Ability and willingness to travel as needed for client support
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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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.

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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

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Head of AlphaGen - Investor Research Product Engineering, Director

Blackrock

New York, NY 10025

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
An advanced degree is a plus
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
API-first platform design and developer experience best practices
AI/ML applications for workflow automation, data validation, and operational excellence
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology
Demonstrated strength in partnership-building and cross-functional collaboration
Able to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Ability to operate in complex market and organizational contexts, translating strategic objectives into actionable plans
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits
BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance
4 days in the office per week, with the flexibility to work from home 1 day a week

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New, Posted 1 day ago

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Lead / Supervisory Transportation Security Officer - No Experience Required forEntry-Level TSA Careers

Airport Security Careers

Tenafly, NJ 07670

No Experience

New, Posted 1 day ago

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Licensed Overnight Security - US Open

Best Crowd Management

Queens, NY 11368

$19/hr

Flexible Schedule

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Quality Technician

BAE Systems

Wayne, NJ 07470

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or equivalent and 1 year work experience
Soldering experience or solder inspection experience stronlgy preferred
Ability to read, understand, and follow process instructions, design drawings, and other related documentation used for the inspection of components, assemblies and subassemblies.
Ability to utilize various tools such as calipers, microscopes, gauges, etc.
Proven track record of employing customer-first strategy in achieving objectives
Demonstrated composure under fast-paced manufacturing environment
Demonstrated ability to work both independently and amongst dynamic, cross-functional teams
Strong communication skills (both oral and written) and interpersonal skills

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Line Aircraft Technician

Alaska Airlines

Jamaica, NY 11430

$44.16/hr

~ 25 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Strong knowledge of aircraft systems.
Ability to troubleshoot and problem solve technical issues.
Ability to consistently lift 70 lbs.
Must be able to bend, stoop, squat, reach and grasp.
Knowledge of Federal Aviation Administration (FAA) regulations and company procedures.
Valid Airframe & Powerplant (A&P) license.
Must have a valid unexpired driver's license issued by a US state, a US territory or the District of Columbia.
SIDA Badge Requirements: Important notification for employees working at an airport or maintenance hangar: Employees will be required to obtain a SIDA badge provided by the airport authority and maintain good standing in order to keep their SIDA badge.
Post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position.
Ability to communicate in English.
High school diploma or equivalent.
Minimum age of 18.
Must be authorized to work in the U.S.

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