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Contract Reliability Engineer Jobs in Kansas (NOW HIRING)

Lead AI Engineer

Kansas City, KS ยท On-site

$98K - $130K/yr

Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker ... Set engineering standards for quality, reliability, and maintainability. AI Solution Design ...

Azure Engineer

Leawood, KS ยท On-site

$54.25 - $72.50/hr

Duration: 6-Month Contract-to-Hire Overview You''ll be one of the go-to engineers for Azure and ... reliability. This position offers the opportunity to work across Azure, VMware, automation, cloud ...

Investigate production test issues and implement corrective actions to improve reliability and ... Familiarity with contract manufacturing environments and production system deployment. Job Type ...

New

... in high-reliability, mission-critical environments, interested in working on fast paced EPC ... Conduct quality checks to ensure deliverables meet contract and project requirements. * Support ...

... in high-reliability, mission-critical environments, interested in working on fast paced EPC ... Conduct quality checks to ensure deliverables meet contract and project requirements. * Support ...

... high-reliability, mission-critical environments that is interested in working on fast paced EPC ... Conduct quality checks to ensure deliverables meet contract and project requirements. * Support ...

Support procurement and contract negotiations. * Coordinate third-party inspections and specialized ... Reliability engineering experience. * Aerospace, manufacturing, shipbuilding, steel, automotive, or ...

Support procurement and contract negotiations. * Coordinate third-party inspections and specialized ... Reliability engineering experience. * Aerospace, manufacturing, shipbuilding, steel, automotive, or ...

Mid-Level Systems Engineer

Wichita, KS ยท On-site

$95K - $146K/yr

... and usage experience to contract requirements. * Identify, plan, define and manage product ... Reliability and Maintainability experience * System Safety experience * Experience with 3D modeling ...

Senior Plant Engineer

Shawnee, KS ยท On-site

$86K - $117K/yr

We are the world's only combined contract research and contract development and manufacturing ... reliability. Key Responsibilities: * Makes independent decisions within defined areas of ...

Senior Plant Engineer

Shawnee, KS ยท On-site

$86K - $117K/yr

We are the world's only combined contract research and contract development and manufacturing ... reliability. Key Responsibilities: * Makes independent decisions within defined areas of ...

Senior Plant Engineer

Shawnee, KS ยท On-site

$86K - $117K/yr

We are the world's only combined contract research and contract development and manufacturing ... reliability. Key Responsibilities: * Makes independent decisions within defined areas of ...

Manager, Product & Engineering

Overland Park, KS ยท On-site

$165K - $170K/yr

Success in this role is measured through delivery of business outcomes, platform reliability ... Recruit and hire qualified team members to strengthen product and project teams, including contract ...

As a foundational member of our engineering team, you won't just write code--you will architect the ... You understand API contracts , webhook reliability , and data consistency across services. Nice to ...

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Contract Reliability Engineer information

See Kansas salary details

$54.4K

$105.2K

$125.8K

How much do contract reliability engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for contract reliability engineer in Kansas is $105,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a Contract Reliability Engineer job?

A Contract Reliability Engineer is a professional hired on a temporary or project basis to ensure the reliability, availability, and maintainability of systems, equipment, or processes. They analyze failure data, perform root cause analysis, and implement strategies to improve system performance. This role often involves collaborating with maintenance teams, design engineers, and operations personnel to optimize asset life and reduce downtime. Contract roles may vary in duration and scope, depending on the project's needs.

What are the key skills and qualifications needed to thrive in the Contract Reliability Engineer position, and why are they important?

To thrive as a Contract Reliability Engineer, you need a strong background in reliability engineering principles, statistical analysis, and mechanical or electrical systems, often supported by an engineering degree and relevant project experience. Familiarity with reliability software (such as Weibull analysis tools), FMEA, and certifications like Certified Reliability Engineer (CRE) are highly valued. Exceptional communication, problem-solving, and project management skills are important for collaborating with cross-functional teams and clearly conveying technical findings. These abilities are essential for ensuring equipment reliability, minimizing downtime, and delivering measurable value to clients on a contractual basis.

What are the typical projects or responsibilities for a Contract Reliability Engineer?

As a Contract Reliability Engineer, your responsibilities usually revolve around conducting reliability assessments, analyzing failure data, and implementing preventative maintenance strategies for client equipment or systems. You might be tasked with performing root cause analysis, recommending design improvements, and supporting maintenance teams in optimizing asset performance. Projects can vary widely by industry but often involve collaborating with operations, quality, and engineering teams to identify reliability risks and drive continuous improvement. This dynamic role provides the opportunity to work on diverse assignments, enhance problem-solving skills, and make a tangible impact on client operations.

What are the most commonly searched types of Reliability Engineer jobs in Kansas? The most popular types of Reliability Engineer jobs in Kansas are:
What are popular job titles related to Contract Reliability Engineer jobs in Kansas? For Contract Reliability Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Contract Reliability Engineer jobs in Kansas look for? The top searched job categories for Contract Reliability Engineer jobs in Kansas are:
What cities in Kansas are hiring for Contract Reliability Engineer jobs? Cities in Kansas with the most Contract Reliability Engineer job openings:
Lead AI Engineer

Lead AI Engineer

Conflux Systems

Kansas City, KS โ€ข On-site

$98K - $130K/yr

Full-time

Re-posted 2 days ago


Job description

Title: Lead Data Engineer (with AI. ML, Python, Java, Kafka)
Location: Leawood, KS
Description
  • Led App Development teams and are aware of working with distributed systems
  • Are well aware of architecture (backend) and integrations
  • Taking Applications to production (so awareness of end to end working of systems)
  • Preferably know Kafka
  • Preferably worked as Data Engineering Leads
  • Are tech savvy, have tried out building Gen AI apps.

Role Overview
  • Ascend Learning is seeking a Lead AI Engineer (Contract) who is a driver, not an order taker - someone who leads from the front, manages delivery across the AI team, and ensures successful execution of complex, high-impact AI initiatives.
  • You will architect and deliver applied AI solutions powered by Large Language Models (LLMs) and Small Language Models (SMLs) within a distributed, production-grade ecosystem.
  • This is a hands-on technical leadership and delivery management role that combines engineering excellence, team guidance, and cross-functional collaboration. You will work closely with Technical Product Owners (TPOs), Technical Program Managers (TPMs), Platform Engineering, and Senior Managers to deliver scalable, reliable, and innovative AI applications that transform digital learning experiences.

Roles and Responsibilities
Delivery Management & Leadership: Manage delivery of AI engineering initiatives, ensuring projects are executed on time, within scope, and to high quality standards. Coordinate engineers and workstreams, resolve dependencies, and drive accountability.
Technical Leadership & Team Guidance: Lead and mentor AI engineers in architecture, design, and implementation of best practices. Set engineering standards for quality, reliability, and maintainability.
AI Solution Design & Development: Architect and develop Agentic AI applications using LLMs and SMLs for automation, reasoning, and content generation. Build distributed backend systems with Python, Fast API, Azure, Kafka, and Kubernetes.
Cross-Functional Collaboration: Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to define scope, success metrics, and optimize infrastructure and performance.
Innovation & Strategic Thinking: Stay current on advancements in LLMs, SMLs, RAG, and Agentic AI frameworks. Experiment with OpenAI and Azure AI tools and promote technical innovation balanced with predictable delivery.
Productionization & Lifecycle Management: Lead productionization of AI application, ensuring reliability, observability, and lifecycle management of deployed solutions.
Qualifications
Education & Experience: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a closely related field-or equivalent practical experience. Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or architectural roles, demonstrating a proven track record of delivering complex solutions.
Delivery Management Expertise: Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream technical projects, ensuring timely execution, high standards, and effective coordination across stakeholders.
Technical Proficiency: Deep expertise in designing and implementing distributed systems, microservices architectures, and event-driven solutions. Hands-on experience with production-grade AI systems leveraging Large Language Models (LLMs) and Small Language Models (SMLs).
Technology Stack Mastery: Advanced proficiency in Python, FastAPI, and Azure Cloud. Skilled in deploying and orchestrating solutions with Docker and Kubernetes. Familiarity with LangChain, LangGraph, vector databases, and Retrieval-Augmented Generation (RAG) pipelines.
DevOps & Observability: Strong understanding of CI/CD pipelines, monitoring, logging, and tracing using tools like Datadog. Experienced with modern DevOps best practices to ensure system reliability and maintainability.
Additional Competencies: Working knowledge of OpenAI APIs and the Azure ecosystem, including Cosmos DB, AI Search, and Cognitive Services. Familiarity with front-end frameworks (Angular, React) and principles of UI/UX design, enabling seamless integration of intelligent backends with web applications. Exceptional communication, collaboration, and leadership abilities, with a passion for mentoring teams and driving impactful results.