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Entry Level Cloud Security Engineer Jobs in Kansas

Knowmadics

Senior Machine Learning Engineer

Wichita, KS · On-site

$93K - $128K/yr

... cloud-native environments. As the first dedicated internal Machine Learning Engineer for this ... Security Clearance - U.S. Citizenship required. Bonus Qualifications * Experience integrating ...

Fortinet, Inc.

Sales Engineer SLED

Kansas City, KS · On-site

As an SLED Sales Engineer, you will: * Pre-sales: Assist in qualifying sales leads from a technical ... security challenges, whether in networked, application, cloud or mobile environments. Fortinet ...

Fortinet, Inc.

Sales Engineer SLED

Kansas City, KS · On-site

As an SLED Sales Engineer, you will: * Pre-sales: Assist in qualifying sales leads from a technical ... security challenges, whether in networked, application, cloud or mobile environments. Fortinet ...

Fortinet

Sales Engineer SLED

Kansas City, KS · On-site

As an SLED Sales Engineer, you will: * Pre-sales: Assist in qualifying sales leads from a technical ... security challenges, whether in networked, application, cloud or mobile environments. Fortinet ...

University of Kansas

IT Engineer

Lawrence, KS · On-site

Work within the KU IT security framework to manage user groups, roles, and access controls ... premise and cloud-based systems. * Implement automation technologies to streamline system ...

Accenture

Google Data Specialist

Overland Park, KS · On-site

$70K - $196K/yr

Follow best practices for security, identity management, and compliance. * Support operational ... Hands-on experience with CI/CD, Git, or cloud-native engineering practices. * Google Cloud ...

NinjaOne

Junior Software Packaging Engineer

Kansas, KS · On-site +1

Your work will directly influence the reliability and security of thousands of organizations around ... a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous ...

Global Partners

Salesforce Developer

Newton, KS

$136K - $204K/yr

Ensure data integrity, compliance, and security within Salesforce and related systems. * Create and ... Hands-on experience with Salesforce (Sales Cloud, Service Cloud, or Experience Cloud). * Salesforce ...

StackAdapt

Ensure AI agent development security, scalability, and reliability through ongoing monitoring and ... Demonstrable experience with AI services from major cloud providers (e.g., OpenAI, Google Vertex AI ...

Lightedge

Sr. AI Integration Engineer

Lenexa, KS · Hybrid

... cloud platforms, and the top global security and compliance measures. Our owned and operated facilities, integrated DR solutions, and premium compliant cloud choices make up a true Hybrid Cloud ...

Agelix Consulting

Flutter Developer

Overland Park, KS · On-site

Ensure applications meet performance, security, and accessibility requirements. * Deploy and ... Experience with Firebase or other cloud-based mobile platforms. * Contributions to open-source ...

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Showing results 21-40

All JobsCloud Security Engineer JobsEntry Level Cloud Security Engineer JobsEntry Level Cloud Security Engineer Jobs in Kansas

Entry Level Cloud Security Engineer information

See Kansas salary details

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How much do entry level cloud security engineer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for entry level cloud security engineer in Kansas is $56.08, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $63.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level cloud security engineer, and why are they important?

To thrive as an Entry Level Cloud Security Engineer, you need a foundational understanding of cloud computing, cybersecurity principles, and networking, often supported by a relevant degree or certifications like CompTIA Security+ or AWS Certified Cloud Practitioner. Familiarity with cloud platforms (AWS, Azure, or Google Cloud), security tools, and basic scripting or automation is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you identify vulnerabilities and collaborate with team members. These skills and qualities are essential for protecting cloud environments, ensuring compliance, and supporting secure organizational growth.

What is the difference between Entry Level Cloud Security Engineer vs Cloud Security Analyst?

AspectEntry Level Cloud Security EngineerCloud Security Analyst
CertificationsCompTIA Security+, AWS Certified Security – Specialty (preferred)CompTIA Security+, CISSP (entry-level roles may not require CISSP)
Work EnvironmentHands-on cloud security implementation, configuring security tools, and monitoring cloud environmentsMonitoring, analyzing security data, and assessing cloud security risks
Employer & Industry UsageCloud service providers, tech companies, organizations adopting cloud infrastructureIT security firms, enterprise IT departments, cloud service providers

While both roles focus on cloud security, the Entry Level Cloud Security Engineer is more involved in implementing and configuring security measures within cloud environments. In contrast, the Cloud Security Analyst primarily monitors and analyzes security data to identify vulnerabilities. Both roles often require similar certifications and are found in similar industries, but their day-to-day tasks differ slightly, with engineers focusing on deployment and analysts on analysis and reporting.

What does an entry level cloud security engineer do?

An Entry Level Cloud Security Engineer is responsible for helping to secure cloud-based systems and data. Their tasks often include monitoring cloud environments for security threats, assisting in the implementation of security controls, and responding to security incidents. They work with more senior engineers to ensure that cloud platforms like AWS, Azure, or Google Cloud are configured securely according to best practices. Additionally, they may help with conducting risk assessments, auditing cloud infrastructure, and keeping up-to-date with the latest security trends and vulnerabilities.

What are some common challenges faced by entry level cloud security engineers, and how can they overcome them?

Entry level cloud security engineers often face challenges such as staying updated with rapidly evolving cloud technologies, understanding complex security protocols across multiple cloud platforms, and balancing security needs with business requirements. To overcome these challenges, it's helpful to engage in continuous learning through certifications and hands-on labs, actively participate in team knowledge-sharing sessions, and seek mentorship from senior engineers. Proactively collaborating with cross-functional teams like DevOps, IT, and compliance can also provide broader context and accelerate skill development.
What are popular job titles related to Entry Level Cloud Security Engineer jobs in Kansas? For Entry Level Cloud Security Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Entry Level Cloud Security Engineer jobs in Kansas look for? The top searched job categories for Entry Level Cloud Security Engineer jobs in Kansas are:
Entry Level Cloud Security Engineer jobs near you
Infographic showing various Entry Level Cloud Security Engineer job openings in Kansas as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $116,656 per year, or $56.1 per hour.

Senior Machine Learning Engineer

Knowmadics

Wichita, KS • On-site

$93K - $128K/yr

Full-time

Re-posted 27 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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