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Senior Detection Engineer Jobs in Tennessee (NOW HIRING)

Senior Controls Engineer

Memphis, TN · Hybrid

$125K - $141K/yr

Daniels Health is seeking an experienced Senior Controls Engineer to join our growing US ... Design, implement, and optimize machine vision systems for detection, classification, inspection ...

Sr. Mechanical Engineer

Oak Ridge, TN · On-site

$78K - $130K/yr

Reporting directly to the Engineering Manager, the Sr. Mechanical Engineer will be responsible for ... Helium leak detection equipment * Composite parts and assemblies * Machined parts and assemblies ...

Sr Software Engineer, DevOps

Nashville, TN · On-site +1

$51 - $69.75/hr

... detection, with no manual portal changes as the standard. * Environment pipeline: Build and ... Engineer. * Deep hands-on experience building and maintaining CI/CD pipelines, including ...

Senior AI Analytics Engineer Department: IT Work Location (s): * El Paso, TX * Plano, TX, * ... Support advanced analytics initiatives including forecasting, anomaly detection, marketing ...

For GNOC engineers, that mission translates into a broad, fast-moving role with real operational ... Manage fault detection, response, and escalation for OCI systems and networks, collaborating with ...

Senior Core Infrastructure Engineer

Nashville, TN · On-site

$104K - $142K/yr

Drive engineering excellence through software architecture reviews, design documentation, code ... Experience with rule engines, policy evaluation systems, threat detection platforms, or traffic ...

Showing results 41-60

Senior Detection Engineer information

What is a senior detection engineer?

A Senior Detection Engineer is a cybersecurity professional responsible for designing, implementing, and maintaining systems that detect threats and malicious activities within an organization's network. They create and refine detection rules, analyze security alerts, and work closely with incident response teams to mitigate risks. Senior Detection Engineers also lead efforts to improve detection capabilities by researching new attack techniques and developing advanced monitoring solutions. Their expertise helps organizations proactively defend against evolving cyber threats.

What are some common challenges a senior detection engineer faces when developing and tuning detection rules?

A Senior Detection Engineer often encounters challenges such as balancing detection accuracy with false positive rates, staying ahead of evolving threat landscapes, and ensuring detection rules adapt to new attack techniques. They must also collaborate closely with other security teams to understand operational impacts and validate the effectiveness of their rules in real-world scenarios. Regular communication, continuous learning, and iterative testing are crucial to overcoming these challenges and maintaining a robust security posture.

What are the key skills and qualifications needed to thrive as a senior detection engineer, and why are they important?

To excel as a Senior Detection Engineer, you need advanced knowledge of cybersecurity principles, threat detection methodologies, and experience with incident response, often supported by a degree in computer science or related certifications like CISSP or GIAC. Proficiency in SIEM platforms (such as Splunk or Sentinel), scripting languages (like Python), and EDR/XDR tools is typically required. Strong analytical thinking, problem-solving skills, and effective communication help you collaborate with teams and respond to evolving threats. These capabilities are crucial for proactively identifying and mitigating security risks to protect organizational assets.

What is the difference between Senior Detection Engineer vs Security Analyst?

AspectSenior Detection EngineerSecurity Analyst
Required CredentialsBachelor's in CS, Cybersecurity, or related; certifications like CISSP, GIACBachelor's in CS, Cybersecurity, or related; certifications like CompTIA Security+
Work EnvironmentDevelops detection tools, analyzes security data, creates detection rulesMonitors security alerts, investigates incidents, reports findings
Employer & Industry UsageTech companies, financial institutions, cybersecurity firmsIT departments, government agencies, large enterprises

While both roles focus on security, Senior Detection Engineers primarily develop and refine detection systems, whereas Security Analysts monitor and respond to security incidents. The Senior Detection Engineer role is more technical and development-oriented, while Security Analysts focus on incident response and analysis.

How much do detection engineers make?

Detection engineers typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and certifications. Senior detection engineers with specialized skills in cybersecurity tools and threat detection may earn higher salaries, often exceeding $150,000.

What are popular job titles related to Senior Detection Engineer jobs in Tennessee?

For Senior Detection Engineer jobs in Tennessee, the most frequently searched job titles are:

What cities in Tennessee are hiring for Senior Detection Engineer jobs?

Cities in Tennessee with the most Senior Detection Engineer job openings:

Cyber Identity - FDE Senior Consultant - Engineering and Product Engineer III

Deloitte

Nashville, TN

$100K - $138K/yr

Full-time

Posted 25 days ago


Key responsibilities

  • Design, build, and deliver cybersecurity and AI-enabled solutions in collaboration with client engagement teams.

  • Identify, troubleshoot, and resolve technical issues within the scope of projects.

  • Contribute to solution design, shape technical solutions during pursuits, and document delivery learnings for platform improvements.


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

46th of 152 rated financial services


Job description

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A 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 provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

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 $134,500 to $265,100.

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.


Qualifications:

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:

  • Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
  • Identifying, troubleshooting, and resolving technical issues within scope
  • Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
  • Contributing to solution design and aligning client needs with delivery feasibility
  • Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer

A 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 provide clear guidance to others

The team

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Qualifications

Required:

  • 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
  • Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
  • Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
  • Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience building and integrating REST APIs, microservices, and serverless architectures.
  • Experience deploying applications on AWS, Azure, or GCP.
  • Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
  • 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
  • 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
  • Understanding of AI system architectures and ability to align application pipelines to support them.
  • Ability to independently own defined scope end-to-end with consistent, high-quality output.
  • Experience working directly with business stakeholders to translate requirements into technical solutions.
  • Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
  • Strong accountability and ownership mindset in achieving client outcomes.
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:

  • Experience and/or certification with Anthropic is strongly preferred.
  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

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 $134,500 to $265,100.

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.


Education:Bachelor's DegreeEmployment Type:

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