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Security In Jobs in Joliet, IL (NOW HIRING)

Deloitte

AI Security Engineer Manager

Chicago, IL · On-site

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high ...

Braze

Senior Security Engineer II

Chicago, IL · On-site

$118K - $161K/yr

Represent cloud security in architecture and design forums, translating complex attack paths and risk into clear, actionable guidance engineers will actually adopt Secure architecture & threat ...

Braze

Senior Security Engineer II

Chicago, IL · On-site

$118K - $161K/yr

Represent cloud security in architecture and design forums, translating complex attack paths and risk into clear, actionable guidance engineers will actually adopt Secure architecture & threat ...

Signal Security

Security Guard

Northlake, IL · On-site

$17 - $18/hr

Title: Security Officer Post Location:? Schedule: [Part Time and Full Time] Pay Rate: [$17-18 ... All duties listed below are minimum requirements - additional duties listed in the site's Post ...

Signal Security

Security Officer

Northlake, IL

$18/hr

Title: Security Patrol Officer Post Location:? Northlake, IL Schedule: 3p-12a Pay Rate: $18 ... All duties listed below are minimum requirements - additional duties listed in the site's Post ...

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Showing results 21-40

All JobsSecurity In JobsSecurity In Jobs in Joliet, IL

Security In information

See Joliet, IL salary details

$27.1K

$65.5K

$156.8K

How much do security in jobs pay per year?

As of Sep 6, 2026, the average yearly pay for security in in Joliet, IL is $65,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,600.00 and $78,900.00 per year, depending on experience, location, and employer.

What is a security engineer?

Security Engineers are professionals responsible for designing, implementing, and maintaining systems and measures to protect an organization's computer systems, networks, and data from cyber threats and attacks. They assess vulnerabilities, develop security protocols, monitor networks for suspicious activity, and respond to incidents. Security Engineers play a crucial role in safeguarding sensitive information and ensuring compliance with security policies and regulations.

What are some common challenges faced by security incident investigators, and how can they overcome them?

Security Incident Investigators often face challenges such as rapidly evolving cyber threats, managing multiple incidents simultaneously, and ensuring clear communication with technical and non-technical teams. Staying current with the latest attack vectors and security tools is crucial, as is developing strong organizational and analytical skills to prioritize and resolve incidents efficiently. Collaborating closely with IT, legal, and management teams helps streamline investigations and ensures comprehensive incident response. Building a strong foundation in security frameworks and maintaining continuous learning are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a security incident analyst, and why are they important?

To thrive as a Security Incident Analyst, you need a solid understanding of cybersecurity principles, incident response procedures, and often a degree in information security or related fields. Familiarity with SIEM tools (like Splunk), intrusion detection systems, and relevant certifications such as CompTIA Security+ or CISSP are typically required. Analytical thinking, attention to detail, and strong communication skills set outstanding analysts apart. These capabilities are crucial for quickly identifying, assessing, and mitigating security threats to protect organizational assets.

What is the difference between Security In vs Security Guard?

AspectSecurity InSecurity Guard
CertificationsSecurity In roles often require basic security certifications or trainingSecurity Guard positions typically require security guard licenses or certifications
Work EnvironmentSecurity In usually involves working indoors, such as in buildings or facilitiesSecurity Guard roles can be indoors or outdoors, patrolling premises
Employer & Industry UsageCommon in corporate, retail, or event settings for access controlFound in various settings including malls, events, and private properties
Search & Comparison IntentOften searched for as a specialized security role with specific dutiesMore general security position, frequently compared for entry-level security jobs

Security In and Security Guard roles share similarities in security certifications and work environments, but Security In often involves indoor access control and specialized duties, while Security Guard roles may include outdoor patrols. Both are essential security positions but serve different operational needs within the security industry.

What type of security in job pays the most?

In security jobs, executive security roles such as Chief Security Officer (CSO) or Security Director typically pay the highest salaries, often exceeding six figures annually. Specialized roles like cybersecurity managers, security consultants with advanced certifications, and those working in high-risk environments also tend to earn higher wages due to their expertise and responsibilities.

What cities near Joliet, IL are hiring for Security In jobs?

Cities near Joliet, IL with the most Security In job openings:

Infographic showing various Security In job openings in Joliet, IL as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $65,499 per year, or $31.5 per hour.

AI Security Engineer Manager

Deloitte

Chicago, IL • On-site

Full-time

Re-posted 29 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.

Recruiting for this role ends on 9/19/2026.

Work you'll do

You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.

Key Responsibilities

Secure, Outcome-Driven Delivery
Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.

Hands-On AI Security Engineering
Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.

AI Risk Identification and Mitigation
Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.

Technical Leadership and Advocacy
Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.

Engineering Excellence with Security Focus
Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.

Iterative and Responsible Innovation
Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.

Cross-Functional Collaboration
Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.

Standards and Best Practices
Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Communication and Influence
Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.

Impact

This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
  • Minimum 1 year of people and/or process management experience

Preferred:

  • Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
  • Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
  • Knowledge of data protection, identity/access management, and secure architecture patterns
  • Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
  • Strong communication skills with the ability to translate technical concepts into business-relevant insights

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118,700 to $243,700.  

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 

EA_ExpHire
RITM10427821

Qualifications:

As a Manager in AI Security Engineering, you will play a critical role in securing the development and deployment of AI/ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives, embedding security, trust, and resilience into AI systems while enabling rapid, responsible innovation.

Recruiting for this role ends on 9/19/2026.

Work you'll do

You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role requires a collaborative, execution-focused leader who can influence teams, mentor engineers, and ensure AI systems meet enterprise security, risk, and compliance expectations.

Key Responsibilities

Secure, Outcome-Driven Delivery
Design and deliver AI-enabled solutions that are secure by design, balancing business value with risk mitigation. Solve complex problems while ensuring protection of data, models, and systems.

Hands-On AI Security Engineering
Actively contribute to architecture, design, and development of AI/ML and GenAI systems with embedded security controls. Integrate security across the SSDLC, including code reviews, testing, and deployment. In this role you will be responsible for managing AI defensive technologies and the operations of those technologies which will evolve over time.

AI Risk Identification and Mitigation
Identify and address AI-specific vulnerabilities, including prompt injection, data leakage, model manipulation, and misuse. Implement practical safeguards to ensure system integrity and trustworthiness.

Technical Leadership and Advocacy
Serve as a trusted technical voice for secure AI engineering. Ensure solutions are feasible, secure, and aligned with business and customer objectives.

Engineering Excellence with Security Focus
Maintain high standards for code quality, scalability, and security. Contribute to secure coding practices, reusable patterns, and continuous improvement across engineering teams.

Iterative and Responsible Innovation
Support rapid experimentation while applying appropriate security guardrails. Enable teams to innovate safely through controlled, risk-aware development practices.

Cross-Functional Collaboration
Partner closely with product, engineering, cybersecurity, and risk teams to embed AI security into solutions. Balance usability, performance, and security in decision-making.

Standards and Best Practices
Apply and help evolve standards for AI security, including data protection, access control, model validation, and monitoring within DevSecOps and MLOps pipelines.

Communication and Influence
Clearly articulate technical risks, trade-offs, and solutions to both technical and non-technical stakeholders. Contribute to alignment and informed decision-making.

Impact

This role directly contributes to reducing enterprise risk and strengthening trust in AI systems. Your work will enable secure adoption of AI capabilities while protecting critical assets and maintaining compliance.

The successful candidate would possess these skills

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.

The ~3,000 professionals in DT - US deliver services including:

  • Cyber Security
  • Technology Support
  • Technology & Infrastructure
  • Applications
  • Relationship Management
  • Strategy & Communications
  • Project Management
  • Financials

Cyber Security

Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand.

Areas of focus include:

  • Risk & Compliance
  • Identity & Access Management
  • Data Protection
  • Cyber Design
  • Incident Response
  • Security Architecture
  • Business Partnership

Qualifications

Required:

  • Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration
  • Minimum 6 years of relevant experience in software engineering, cybersecurity, and/or including AI/ML, with hands-on delivery experience
  • Minimum 1 year of people and/or process management experience

Preferred:

  • Strong understanding of AI/GenAI technologies and associated security risks (e.g., prompt injection, data exposure, adversarial threats)
  • Experience building and securing applications using Python, JavaScript, or similar, along with ML frameworks (e.g., PyTorch, TensorFlow)
  • Familiarity with secure development practices (DevSecOps) and integrating security into CI/CD and MLOps pipelines
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native security principles
  • Knowledge of data protection, identity/access management, and secure architecture patterns
  • Ability to work across teams, mentor engineers, and contribute to a strong engineering culture
  • Strong communication skills with the ability to translate technical concepts into business-relevant insights

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A...

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