Top 22 Devops engineer Jobs in Kansas

DevOps Engineer II
Torch.AI —Leawood, KS
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Bachelor of Science
- Commuter assistance
- Health savings account
Quick Apply
11h
DevOps Engineer
Vytalize Health —Kansas
- Full-time
- Remote
- Computer science
- Computer Science
- Analysis skills
9d
DevOps Prime
GCH Technologies —Wichita, KS
- $165,000 - $205,000 a year
- Full-time
- Spanish
- 7 years
- Pass drug screening
- Paid parental leave
- Health savings account
Senior DevOps Engineer
TENEX.AI —Overland Park, KS
- Full-time
- Hybrid work
- Computer science
- Azure
- 6 years
DevOps Engineer
Alarm.com —Lawrence, KS
- Email
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid parental leave
- Health savings account
Quick Apply
13d
DevSecOps Engineer
Vytalize Health —Kansas
- Full-time
- Remote
- Computer science
- Computer Science
- HIPAA
Network & Infrastructure Engineer
Wilson Communications —Wilson, KS
- Full-time
- System design
- Mid-level
- Office
- Health insurance
- Paid time off
Quick Apply
5d
DevOps Architect
Koch —Wichita, KS
- Computer Science
- Pass drug screening
- Office
- Paid parental leave
- Health savings account
Lead Software Engineer (DevOps / Cloud Enablement)
Garmin International, Inc. —Olathe, KS
- Full-time
- Azure
- Computer Science
- Customer service
Supervisor - Analyst and DevOps
Koch —Wichita, KS
- DevOps
- Pass drug screening
- Mid-level
- Paid parental leave
- Health savings account
Senior QA Automation Consultant (Cypress, TypeScript, Azure DevOps)
Keyhole Software —Lenexa, KS
- Full-time
- Hybrid work
- Computer science
- Computer Science
- HIPAA
- Disability insurance
- Health insurance
13d
Senior AWS Cloud Architect
Pratt Industries —Park City, KS
- DevOps
- System design
- Senior level
Quick Apply
Infrastructure Engineer III
Jack Henry & Associates —United States
- Full-time
- Remote
- Azure
- AWS
- Bachelor's degree
8d
Azure DevOps Engineer - AI trainer
micro1 —United States
- $200,000 - $300,000 a year
- Full-time
- Remote
- Azure
- 5 years
- System design
- Paid time off
- 401(k) matching
9d
GCP DevOps Engineer - AI trainer
micro1 —United States
- $200,000 - $300,000 a year
- Contract
- Remote
- Azure
- AWS
- Analysis skills
- Paid time off
- 401(k) matching
9d

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Associate Data Engineer
Vytalize Health —Kansas
Perform exploratory data analysis to understand data patterns, support analytics requests, and help answer business questions about data availability and…
7d
Infrastructure Engineer
CBOE —Overland Park, KS
Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Certifications such as RHCE or LFCE.
$131,750 - $170,500 a year

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IQVentures —Dublin, OH
5+ years’ experience in infrastructure engineering, systems administration, or DevOps disciplines with a demonstrated focus on automation and code-based…
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Senior DevOps Software Engineer
Pointer Infotech L.L.C —Columbus, OH
Bachelor's degree in Computer Science, Information Technology, or a related field. We are seeking an experienced Senior DevOps Engineer to design, implement,…
$60 - $80 an hour
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2d

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devops engineer jobs near kansas

DevOps Engineer II

Torch.AI -
Leawood, KS

Quick Apply

Job Details

Full-time
11 hours ago

Benefits

Commuter assistance
Health savings account
Paid holidays
Disability insurance
Unlimited paid time off
Dental insurance
401(k)
Flexible spending account
Vision insurance
401(k) matching
Life insurance

Qualifications

Containerization systems
Linux support
Tooling
Infrastructure as Code (IaC)
Production systems
Bachelor's degree
Scripting
Cloud automation
DevOps automation
Linux administration

Full Job Description

The world’s most consequential systems need the world’s best builders.

A new era is taking shape. AI is no longer confined to models or interfaces. It is becoming the foundation of how decisions are made across governments, industries, and real-world environments. What matters now is not just access to capability, but how it is applied, controlled, and sustained over time.

Torch.AI builds a government-owned reasoning infrastructure which creates a Reasoning Layer to enable machine reasoning at scale, in environments where it is hardest to achieve and least tolerant of failure. This is not incremental software. It is long-term infrastructure designed to endure, integrate, and evolve alongside the systems it supports.

Not another dashboard. Not another workflow app. Not another black-box model glued to a PowerPoint.

The Reasoning Layer is a modular architecture where data is connected, governed, transformed, represented, fused, reasoned over, and delivered into mission applications and operational workflows. It does not replace systems of record. It enables them to function better together.

The Reasoning Layer is comprised of: ORCUS (ingestion, orchestration, governance), NEXUS (semantic representation, vectorization), HALO (graph-based fusion and reasoning) and various product and capability components deployed for specific customer use cases.

We are seeking candidates who approach problems creatively, are comfortable operating without full clarity, and take responsibility for outcomes, not just implementation.

If you’re driven to strengthen U.S. defense readiness and protect national interests, Torch.AI offers meaningful impact at national scale.

What Makes Torch.AI Different

Torch.AI was founded on a simple operational insight: better use of data leads to better decisions. As data volumes increased across commercial, enterprise, and national security environments, the limiting factor was not collection, storage, or user interface design. The missing layer was machine understanding. And an infrastructure that could operate and reason between layers, preserve context, reconcile meaning, and make data useful for decisions in real time.

We believe the government must own its data and decision environment. In mission and operational environments, the layer where data becomes context, context informs models, models support decisions, and decisions shape action cannot be controlled entirely by private technology vendors.

Ownership does not mean the government must build every component itself. It means the government maintains stewardship and authority over the mission and operational layer. Commercial software, models, and services can contribute to the environment, but they should not capture the mission.

We are craftsmen.
We build with intention.
We ship with discipline.

You’ll collaborate with engineers, data experts, veterans, and mission practitioners. You’ll own meaningful work, move quickly, and see your systems deployed in production, often within weeks.

We are fast-paced, entrepreneurial, and mission-driven. Every day is a new puzzle.

The Type of Candidates Who Thrive

People who do well here tend to approach problems similarly.

They are comfortable operating without full clarity.
They pay attention to what actually happens, not just what was intended.
They are willing to be wrong, adjust quickly, and improve based on real feedback.
They take responsibility for outcomes, not just implementation

This is not a good fit for someone who needs tightly defined problems or prefers distance from how their work is used.

Security Clearance

Some roles require an active Secret, Top Secret, or Top Secret/SCI clearance. Where required, candidates must be eligible to obtain and maintain the appropriate clearance level.

U.S. citizenship is required for all positions. Torch.AI does not sponsor employment visas.

If you do not currently hold a clearance but are eligible, sponsorship may be available depending on role and mission requirements.

Work Location

Most roles are based at our headquarters in Leawood, KS. Some hybrid/remote positions across the Arlington, VA, Washington, DC, and Maryland (DMV) region are available. Limited travel (<10%) may be required for some roles.

Compensation, Benefits, Incentives

We offer competitive, performance-aligned compensation tied to technical depth, clearance level, and mission impact.

Total Rewards Include:

Competitive base salary
Quarterly performance bonuses
Equity participation within the first 12 months
Unlimited PTO + 11 paid company holidays
Professional development in a high-growth, mission-driven environment
Weekly in-office catering at HQ

Benefits:

401(k) plan (no current employer match, but under consideration)
PPO, HSA, and TRICARE Supplement medical options
Above-market HSA contributions
HSA, FSA, and Dependent Care FSA options
Dental and vision plans above national averages
Employer-paid life insurance (1× salary)
Employer-paid Short-Term and Long-Term Disability
Voluntary Accident, Critical Illness, and Hospital Indemnity coverage
Up to $300/month in tax-advantaged commuter benefits

Torch.AI is an Equal Opportunity / Affirmative Action Employer committed to building a team that reflects the mission we serve.

If you want to build AI systems that move from ingestion to actionable insight and know exactly why they produced the answer they did, we should talk.

What You’ll Do

Own CI/CD pipeline execution and deployment workflows across multiple environments.
Build and maintain infrastructure-as-code for repeatable provisioning and environment promotion.
Containerize and deploy applications using Kubernetes, ECS, or equivalent orchestration systems.
Manage secure networking, TLS certificates, reverse proxies, and system-level hardening requirements.
Support deployments into secure and mission environments including cloud-isolated networks.
Troubleshoot infrastructure issues and lead root-cause resolution.
Build and maintain observability pipelines for logs, metrics, and alerting.
Support patching, vulnerability scanning, and compliance workflows.

Core Skills & Qualifications

B.S. in Computer Science, Engineering, or related field.
5+ years of DevOps, infrastructure engineering, or SRE experience.
Strong experience with CI/CD tooling (GitHub Actions, Jenkins, GitLab CI).
Production-level experience with Docker and Kubernetes/ECS.
Hands-on experience with Terraform or other IaC tooling.
Strong Linux administration and scripting ability.
Familiarity with secure deployment requirements and networking fundamentals.

Additional Valuable Experience

Experience with STIG hardening, SCAP scanning, or enclave constraints.
Familiarity with Kafka/NiFi/data pipelines.
Experience supporting ML infrastructure or MLOps tooling.
Prior experience supporting classified environments.

Quick Apply

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devops engineer jobs in kansas

DevOps Engineer II

DevOps Engineer

DevOps Prime

Senior DevOps Engineer

DevOps Engineer

DevSecOps Engineer

Network & Infrastructure Engineer

DevOps Architect

Lead Software Engineer (DevOps / Cloud Enablement)

Supervisor - Analyst and DevOps

Senior QA Automation Consultant (Cypress, TypeScript, Azure DevOps)

Senior AWS Cloud Architect

Infrastructure Engineer III

Azure DevOps Engineer - AI trainer

GCP DevOps Engineer - AI trainer

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