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Lead MLSecOps Security Engineer

Advanced Tech Placement

Roseland, New Jersey • Today

Easy Apply

Contract, Third Party

Depends on Experience

Data Security Lead

Cyber Sphere LLC

Newark, New Jersey • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior Azure Network/Security Engineer

Saicon Consultants Inc.

Hybrid in Livingston, New Jersey • 12d ago

Easy Apply

Third Party, Contract

Depends on Experience

Lead, Info Security Systems Engineer 1

Harris Corporation

Clifton, New Jersey • Today

Full-time

USD 125,000.00 - 232,000.00 per year

Lead Security Engineer

Suno

New York, New York • Today

Full-time

USD 275,000.00 - 395,000.00 per year

Senior Endpoint Security Engineer-Onsite role

StoneGate-Technologies LLC

New York, New York • 3d ago

Easy Apply

Contract

$60,000 - $120,000

Senior Lead Security Engineer

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Lead Security Test Engineer DevSecOps

Prudent Technologies and Consulting

Hybrid in Englewood Cliffs, New Jersey • Today

Easy Apply

Third Party, Contract

Depends on Experience

Lead Security Test Engineer ? DevSecOps

W3Global

Englewood Cliffs, New Jersey • Today

Contract

USD55.0/HOURLY - USD60.0/HOURLY

Data Security Lead-Hybrid @ Newark, NJ - Need Locals Only

Cyber Sphere LLC

Hybrid in Newark, New Jersey • 3d ago

Easy Apply

Contract

Depends on Experience

Engineering Lead, Security

Anchorage Digital

New York, New York • Yesterday

Full-time

Lead AWS IAM Security Engineer

EPAM Systems

Remote or New York, New York • Today

Full-time

Data Security Lead ( DLP/DSPM)

Zelis

Morristown, New Jersey • 14d ago

Full-time

USD 139,000.00 - 176,700.00 per year

Software Security Engineer

Randstad Digital

Remote or New York, New York • Today

Contract

USD48 - USD86

Software Security Engineer

Randstad Digital

Remote or New York, New York • Today

Contract

USD48 - USD86

Data Security Lead --- W2 Role

Cyber Sphere LLC

Hybrid in Newark, New Jersey • 3d ago

Easy Apply

Contract

Depends on Experience

Lead Software Engineer-Full Stack/Multi-Cloud Security

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Security Risk Management Lead

Affirm

New York, New York • Yesterday

Full-time

USD 165,000.00 - 225,000.00 per year

Security & Privileged Access, Java, Linux Lead Software Engineer - Security & Privileged Access

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Director, Security Portfolio, Transformation and Strategy Lead

CLS-Group

Woodbridge Township, New Jersey • 10d ago

Full-time

USD 220,000.00 - 240,000.00 per year

Security Engineer / OT Cybersecurity

IT Resonance Inc.

Great Neck, New York • 3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Data Security Lead in Newark, NJ - Hybrid- Must be local

Cyber Sphere LLC

Hybrid in Newark, New Jersey • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Google Cloud Platform Cloud Network & Security Engineer

SilverSearch, Inc.

Hybrid in Roseland, New Jersey • 11d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior Cloud Security Engineer

Arkhya Tech

Newark, New Jersey • Today

Easy Apply

Third Party

Senior Cloud Security Engineer

Med-Metrix

Parsippany-Troy Hills, New Jersey • Today

Full-time

Workday Security Lead SOX Compliance & Security Communications

TekDallas

Hybrid in Edison, New Jersey • Today

Easy Apply

Contract

Depends on Experience

Senior Cloud Network & Security Engineer- Hybrid in Roseland, NJ

V-CENTRIX-US LLC

Roseland, New Jersey • 5d ago

Easy Apply

Third Party, Contract

$55 - $60

Senior Security AI Engineer

AllSTEM Connections

Rahway, New Jersey • Today

Full-time

USD 177,900.00 - 183,000.00 per year

Senior Security Engineer

STEPS TALENT, LLC

Hybrid in New York, New York • 30+d ago

Easy Apply

Full-time

170,000 - 200,000

Senior AI Security Engineer

Vertex

New York, New York • 22d ago

Full-time

USD 120,700.00 - 156,900.00 per year

Job Details

Skills

MLOPS
KUBEFLOW
MLFLOW
SAGEMAKER
PYTHON
COPILOT
CURSOR
CLAUDE
WINDSURFOR GEMINI
AGENTIC ARCHITECTURES
RAG
RETRIEVAL AUGMENTED
RETRIEVAL-AUGMENTED
SECURITY
OWASP
PROMPT INJECTION
DATA POISONING
MODEL EXTRACTION
ADVERSARIAL EXAMPLE ATTACKS
CICD
CI/CD
CI / CD
CONTINUOUS DEPLOYMENT
CONTINUOUS INTEGRATION
RISK
VULNERABILITY
VULNERABILITIES

Summary

We are seeking a Lead MLSecOps Security Engineer.

What You’ll Do:

Design, implement, and maintain secure ML pipelines for AI/ML model evaluation, validation, deployment, and inference.
Assess and mitigate security risks throughout the ML lifecycle, including data ingestion, model storage, and deployment.
Evaluate, secure, and govern AI coding agents, autonomous agents, and agentic workflows used throughout the software development lifecycle.
Define and implement security guardrails for AI-assisted software development platforms, agent orchestration frameworks, and autonomous development pipelines.
Develop and operationalize an Agentic Development Lifecycle (ADLC) framework that incorporates security requirements, threat modeling, testing, deployment governance, and continuous security monitoring.
Evaluate AI Security Posture Management (AI-SPM) capabilities and establish processes for identifying, categorizing, prioritizing, and remediating risks associated with AI assets, agents, prompts, datasets, and AI-enabled applications.
Assess emerging threats against frontier AI models and agentic systems and recommend preventative and detective security controls to reduce enterprise risk.
Develop and maintain code for AI/ML pipelines using Python and CICD, ensuring robust security controls and compliance with best practices.
Institutionalize security scanning of AI/ML models in line with shift left strategy; interpret results and remediate identified issues.
Evaluate and optimize model inference deployment strategies, balancing security, performance, and resource utilization.
Stay current on top vulnerabilities affecting Machine Learning Models, Large Language Models (LLMs), and AI agents, such as prompt injection, data poisoning, model theft, and adversarial attacks.
Collaborate with data scientists, ML engineers, and security teams to drive adoption of secure ML practices.
Establish strong partnership with key stakeholders in technology and product organizations.
Perform other duties as required.

Experience You'll Need:

Hands-on experience with MLOps pipelines and model deployment tools (e.g., Kubeflow, MLflow, SageMaker).
Strong programming skills in Python and CICD for automation and pipeline development.
Hands-on experience with major AI coding assistants and coding agents such as GitHub Copilot, Microsoft Copilot, Cursor, Claude Code, Windsurf, or similar AI-assisted development platforms.
Experience using AI-driven development techniques across multiple programming languages including Python, Java, JavaScript, C#, .NET, Go, or similar technologies.
Strong understanding of agentic architectures, AI agents, autonomous workflows, Retrieval-Augmented Generation (RAG), and associated security considerations.
Experience assessing Agent Sandboxes, agent runtime environments, agent-to-tool communications, and agent execution workflows.
Understanding of security limitations and control mechanisms governing agent behavior, including permissions, approval workflows, runtime controls, and data protection guardrails.
Ability to identify, categorize, prioritize, and operationalize risks associated with AI assets, models, prompts, datasets, agents, and AI-enabled applications.
Deep understanding of Agentic Development Lifecycle (ADLC) principles and integration of security controls throughout planning, development, testing, deployment, and operations.
Knowledge of frontier AI model cybersecurity programs and the ability to reason about layered controls that mitigate AI-driven cyber attacks, adversarial ML threats, model and agent abuse.
Familiarity with structured (SQL, data warehouses) and unstructured (object storage, NoSQL) data systems.
Familiarity with Databricks
Experience with ML security tools for model scanning and vulnerability assessment.
Knowledge of top OWASP AI/ML vulnerabilities, including:

- Prompt injection
- Data and model poisoning
- Model extraction and inversion
- Adversarial example attacks
- Supply chain risks in ML components

Strong communication skills and ability to document and explain Cybersecurity and AI/ML security controls to technical and non-technical stakeholders.
Understanding of AL/ML model formats such as pickle, tensorflow, safetensors
Experience in rolling out model scanning solution as part of model development.
Understanding CI/CD pipelines covering source control, integration, and deployment (ex: Bitbucket, Jenkins, JIRA, Artifactory, Nexus, SonarQube, git, Snyk scanner).
Previous software engineering/architecture experience (Java, C#, .Net, JavaScript, Python) preferred.
Strong analytical/problem solving skills and cross functional knowledge across multiple development and security disciplines.
Experience with development of RESTful web services preferred.
Understanding of advanced iterative Agile, Cloud and Container Security, GenAI Security
Exceptional problem-solving skill
Excellent communication and presentation skills
Ability to be a good team player as part of remote teams
Self-motivated with positive attitude
Should be able to work independently.

Qualifications:

Bachelor's degree in computer science, Information / Cyber Security, Computer Systems Engineering, Computer Information Systems or equivalent education and experience required
Eight years or more experience in various IT or cybersecurity roles, with five or more years of experience specifically in software engineering roles.
Deep knowledge and understanding of AI/ML and Agentic Security and related risks
Candidate should be very thorough in internet technologies and highly versed with web development best practices.
Strong analytical/problem solving skills and cross functional knowledge across multiple development and security disciplines.
Ability to communicate security-related concepts to a broad range of technical and non-technical stakeholders.
Understanding of advanced iterative Agile and container & cloud security
Familiarity with micro-services architecture and Design Patterns
Excellent analytic skills, including qualitative and quantitative data analysis to support and defend data-driven decision-making regarding system threats, vulnerabilities, and risk
Any of the following are a plus but not necessary: CEH, CISSP, CSSLP, GCIA, GPEN, GWAPT

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132164
Position Id: 26-00293
Posted 8 hours ago

Fitment

Dice Job Match Score™

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Job Details

Skills

MLOPS
KUBEFLOW
MLFLOW
SAGEMAKER
PYTHON
COPILOT
CURSOR
CLAUDE
WINDSURFOR GEMINI
AGENTIC ARCHITECTURES
RAG
RETRIEVAL AUGMENTED
RETRIEVAL-AUGMENTED
SECURITY
OWASP
PROMPT INJECTION
DATA POISONING
MODEL EXTRACTION
ADVERSARIAL EXAMPLE ATTACKS
CICD
CI/CD
CI / CD
CONTINUOUS DEPLOYMENT
CONTINUOUS INTEGRATION
RISK
VULNERABILITY
VULNERABILITIES

Summary

We are seeking a Lead MLSecOps Security Engineer.

What You’ll Do:

Design, implement, and maintain secure ML pipelines for AI/ML model evaluation, validation, deployment, and inference.
Assess and mitigate security risks throughout the ML lifecycle, including data ingestion, model storage, and deployment.
Evaluate, secure, and govern AI coding agents, autonomous agents, and agentic workflows used throughout the software development lifecycle.
Define and implement security guardrails for AI-assisted software development platforms, agent orchestration frameworks, and autonomous development pipelines.
Develop and operationalize an Agentic Development Lifecycle (ADLC) framework that incorporates security requirements, threat modeling, testing, deployment governance, and continuous security monitoring.
Evaluate AI Security Posture Management (AI-SPM) capabilities and establish processes for identifying, categorizing, prioritizing, and remediating risks associated with AI assets, agents, prompts, datasets, and AI-enabled applications.
Assess emerging threats against frontier AI models and agentic systems and recommend preventative and detective security controls to reduce enterprise risk.
Develop and maintain code for AI/ML pipelines using Python and CICD, ensuring robust security controls and compliance with best practices.
Institutionalize security scanning of AI/ML models in line with shift left strategy; interpret results and remediate identified issues.
Evaluate and optimize model inference deployment strategies, balancing security, performance, and resource utilization.
Stay current on top vulnerabilities affecting Machine Learning Models, Large Language Models (LLMs), and AI agents, such as prompt injection, data poisoning, model theft, and adversarial attacks.
Collaborate with data scientists, ML engineers, and security teams to drive adoption of secure ML practices.
Establish strong partnership with key stakeholders in technology and product organizations.
Perform other duties as required.

Experience You'll Need:

Hands-on experience with MLOps pipelines and model deployment tools (e.g., Kubeflow, MLflow, SageMaker).
Strong programming skills in Python and CICD for automation and pipeline development.
Hands-on experience with major AI coding assistants and coding agents such as GitHub Copilot, Microsoft Copilot, Cursor, Claude Code, Windsurf, or similar AI-assisted development platforms.
Experience using AI-driven development techniques across multiple programming languages including Python, Java, JavaScript, C#, .NET, Go, or similar technologies.
Strong understanding of agentic architectures, AI agents, autonomous workflows, Retrieval-Augmented Generation (RAG), and associated security considerations.
Experience assessing Agent Sandboxes, agent runtime environments, agent-to-tool communications, and agent execution workflows.
Understanding of security limitations and control mechanisms governing agent behavior, including permissions, approval workflows, runtime controls, and data protection guardrails.
Ability to identify, categorize, prioritize, and operationalize risks associated with AI assets, models, prompts, datasets, agents, and AI-enabled applications.
Deep understanding of Agentic Development Lifecycle (ADLC) principles and integration of security controls throughout planning, development, testing, deployment, and operations.
Knowledge of frontier AI model cybersecurity programs and the ability to reason about layered controls that mitigate AI-driven cyber attacks, adversarial ML threats, model and agent abuse.
Familiarity with structured (SQL, data warehouses) and unstructured (object storage, NoSQL) data systems.
Familiarity with Databricks
Experience with ML security tools for model scanning and vulnerability assessment.
Knowledge of top OWASP AI/ML vulnerabilities, including:

- Prompt injection
- Data and model poisoning
- Model extraction and inversion
- Adversarial example attacks
- Supply chain risks in ML components

Strong communication skills and ability to document and explain Cybersecurity and AI/ML security controls to technical and non-technical stakeholders.
Understanding of AL/ML model formats such as pickle, tensorflow, safetensors
Experience in rolling out model scanning solution as part of model development.
Understanding CI/CD pipelines covering source control, integration, and deployment (ex: Bitbucket, Jenkins, JIRA, Artifactory, Nexus, SonarQube, git, Snyk scanner).
Previous software engineering/architecture experience (Java, C#, .Net, JavaScript, Python) preferred.
Strong analytical/problem solving skills and cross functional knowledge across multiple development and security disciplines.
Experience with development of RESTful web services preferred.
Understanding of advanced iterative Agile, Cloud and Container Security, GenAI Security
Exceptional problem-solving skill
Excellent communication and presentation skills
Ability to be a good team player as part of remote teams
Self-motivated with positive attitude
Should be able to work independently.

Qualifications:

Bachelor's degree in computer science, Information / Cyber Security, Computer Systems Engineering, Computer Information Systems or equivalent education and experience required
Eight years or more experience in various IT or cybersecurity roles, with five or more years of experience specifically in software engineering roles.
Deep knowledge and understanding of AI/ML and Agentic Security and related risks
Candidate should be very thorough in internet technologies and highly versed with web development best practices.
Strong analytical/problem solving skills and cross functional knowledge across multiple development and security disciplines.
Ability to communicate security-related concepts to a broad range of technical and non-technical stakeholders.
Understanding of advanced iterative Agile and container & cloud security
Familiarity with micro-services architecture and Design Patterns
Excellent analytic skills, including qualitative and quantitative data analysis to support and defend data-driven decision-making regarding system threats, vulnerabilities, and risk
Any of the following are a plus but not necessary: CEH, CISSP, CSSLP, GCIA, GPEN, GWAPT

Dice Id: 91132164
Position Id: 26-00293
Posted 8 hours ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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