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Detection Engineer Jobs in Kansas (NOW HIRING)

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

Lead the development + implementation of real-time feature detection and anomaly detection models ... A comprehensive understanding of systems programming (a strong proficiency in C would imply this)

GFT.

Senior Project Manager, Traffic Engineer

Wichita, KS · On-site +1

$88K - $115K/yr

Provide subject matter expertise in intelligent transportation systems, including detection ... Plan, conduct, and coordinate traffic engineering work through all phases of the project lifecycle ...

NinjaOne

Software Packaging Engineer

Kansas, KS · On-site +1

Automatically detect new software versions from vendor websites. * Develop endpoint‑side scripts ... Partner with Support and Engineering teams to resolve customer‑impacting issues quickly and ...

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Detection Engineer information

See Kansas salary details

$9.7K

$138.1K

$170K

How much do detection engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for detection engineer in Kansas is $138,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,262.00 and $152,309.00 per year, depending on experience, location, and employer.

What does a detection engineer do?

A Detection Engineer is responsible for identifying, analyzing, and mitigating security threats by developing detection rules, monitoring security systems, and responding to potential incidents. They work with security tools like SIEMs, EDRs, and IDS/IPS to detect malicious activity and improve threat detection capabilities. Additionally, they collaborate with security teams to enhance defensive strategies and automate detection processes.

What kind of projects or tasks does a detection engineer typically work on?

As a Detection Engineer, you can expect to work on designing, implementing, and refining security detection strategies to identify potential threats and vulnerabilities in company systems. Daily responsibilities often include developing detection logic, analyzing security alerts, conducting threat hunting exercises, and collaborating with incident response teams. You may also work closely with other cybersecurity professionals to evaluate the effectiveness of existing security measures and recommend improvements. This dynamic environment offers opportunities to work on complex technical challenges while directly contributing to the organization’s overall security posture.

What are the key skills and qualifications needed to thrive as a detection engineer?

To thrive as a Detection Engineer, you need strong analytical skills, a solid understanding of cybersecurity principles, and experience with threat detection and response, often supported by a degree in computer science or a related field. Proficiency with security information and event management (SIEM) tools, intrusion detection/prevention systems, and certifications like GIAC or CISSP are commonly required. Attention to detail, proactive problem-solving abilities, and effective communication enhance effectiveness in this role. These skills are crucial as Detection Engineers must accurately identify security threats, collaborate with teams, and minimize potential risks to the organization.

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

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

What job categories do people searching Detection Engineer jobs in Kansas look for?

The top searched job categories for Detection Engineer jobs in Kansas are:

Detection Engineer jobs near you
Infographic showing various Detection Engineer job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $138,094 per year, or $66.4 per hour.

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93K - $128K/yr

Full-time

Re-posted 6 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
The Machine Learning Engineer will build and integrate machine learning solutions into our next-generation space and critical infrastructure defense capabilities. They will leverage a variety of machine learning approaches to process very large streams of unstructured data in real time in scalable and secure cloud-native environments. As the first dedicated internal Machine Learning Engineer for this product, they will play a critical role in requirements generation, team leadership, and influencing the future of our products.
This is a demanding product development role, not a research position. Success on year one involves the design, training, optimization, validation and implementation of high-performance inference pipelines at scale.The role will play a key part in building and delivering initial machine learning capabilities for our MVP offering and may evolve over time to include involvement in hiring and mentorship as the team grows.
Duties and Responsibilities
  • Lead the development + implementation of real-time feature detection and anomaly detection models
  • Generate data characteristic requirements for real-time data processing pipelines
  • Prepare technical documentation, reports, and specifications
  • Collaborate with cross-functional teams including project managers, technicians, and other engineers
  • Perform testing, troubleshooting, and quality assurance on systems or products
  • Ensure compliance with safety regulations, industry standards, and company policies

Qualifications
  • 7-10 YoE as a SWE or ML engineer building applied research and/or production technologies
  • Expertise on building production training and inference pipelines in python
  • A strong familiarity and personal preference for one or more deep learning libraries (ex. pytorch)
  • A comprehensive understanding of systems programming (a strong proficiency in C would imply this)
  • An understanding of how ETL processing works and familiarity with some of the common tools (kafka, spark, etc.)
  • Experience building machine learning models for unstructured data types (text, imagery, RF, telemetry, etc.)
  • Experience with hardware acceleration (GPUs, CUDA) for training and inference workloads
  • Experience packaging and deploying trained inference models for use in production environments
  • Minimum education requirement: High school diploma
  • Eligible to obtain a U.S. Security Clearance - U.S. Citizenship required.

Bonus Qualifications
  • Experience integrating trained inference pipelines into scalable cloud-native infrastructure
  • Experience building backend services and implementing API endpoints for scalable infrastructure
  • Experience building technology for air-gapped production deployment environments
  • Knowledge and experience with OCI technologies (docker, kubernetes, helm etc.)
  • B.S. or M.S. in an area relevant to this role

Working conditions
  • Employees may be called upon to participate in in-person meetings, training, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Candidate should live within driving distance of the following areas: Waldorf, Md; Wichita, KS; Lawton OK; or Round Rock, TX
  • Estimated Travel: 0-10%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None

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