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Senior Back End Developer Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Are well aware of architecture (backend) and integrations * Taking Applications to production (so ... Senior Managers to deliver scalable, reliable, and innovative AI applications that transform ...

StackAdapt

$105K - $138K/yr

Foster operational excellence across engineering and backend teams by cultivating a culture of trust, transparency and technical excellence * Clearly articulate development ideas and hypotheses ...

Workiva

$40/hr

Implement developer tools or product features under the direction of a senior developer * Contribute as either a backend or frontend engineer depending on project needs * Build and maintain user ...

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Senior Back End Developer information

See Kansas salary details

$57.1K

$124.7K

$169.9K

How much do senior back end developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior back end developer in Kansas is $124,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a senior back end developer?

Senior Back End Developers are experienced software engineers who specialize in building and maintaining the server-side logic, databases, and APIs that power web and mobile applications. They collaborate with front end developers and other team members to ensure seamless integration and optimal performance of applications. Their responsibilities often include designing system architecture, optimizing code for scalability, implementing security best practices, and mentoring junior developers. Senior Back End Developers typically have several years of experience and a deep understanding of programming languages such as Java, Python, Ruby, or Node.js.

What are the key skills and qualifications needed to thrive as a senior back end developer?

To thrive as a Senior Back End Developer, you need advanced programming skills (such as in Python, Java, or Node.js), a deep understanding of server-side architecture, and experience with databases, often backed by a degree in computer science or related fields. Familiarity with frameworks (like Django or Spring), RESTful APIs, cloud platforms (AWS, Azure, or GCP), and version control systems (such as Git) is typically required, along with relevant certifications. Strong problem-solving, collaboration, and communication skills help you deliver robust solutions and mentor junior developers. These skills ensure scalable, secure, and maintainable back-end systems that are vital for reliable business operations.

What are some common challenges senior back end developers face when working on large-scale systems?

Senior Back End Developers often encounter challenges such as ensuring system scalability, maintaining high performance under increased load, and designing robust APIs that can evolve over time. They must also address complex data consistency issues and integrate with multiple third-party services or legacy systems. Collaborating closely with front end, DevOps, and QA teams is crucial to align on architecture decisions and streamline deployment processes, making strong communication and problem-solving skills essential.

What is the difference between Senior Back End Developer vs Backend Engineer?

AspectSenior Back End DeveloperBackend Engineer
Required CredentialsBachelor's in CS or related field, experience in backend developmentBachelor's in CS or related field, experience in backend systems
Work EnvironmentCollaborates with front-end developers, product managers, and QA teamsWorks on server-side logic, database integration, and API development
Industry UsageCommon in tech companies, startups, and enterprise software firmsUsed across similar industries, often interchangeably with Senior Back End Developer

Both roles require similar technical skills and educational backgrounds, focusing on server-side development. The main difference lies in the seniority level and scope of responsibilities, with Senior Back End Developers typically taking on more leadership and complex project tasks compared to Backend Engineers.

What are the most commonly searched types of Back End Developer jobs in Kansas?

The most popular types of Back End Developer jobs in Kansas are:

What are popular job titles related to Senior Back End Developer jobs in Kansas?

For Senior Back End Developer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Senior Back End Developer jobs in Kansas look for?

The top searched job categories for Senior Back End Developer jobs in Kansas are:

Senior Back End Developer jobs near you
Infographic showing various Senior Back End Developer job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 72% In-person, 2% Hybrid, and 26% Remote job distribution, with an average salary of $124,715 per year, or $60 per hour.

Lead AI Engineer

Conflux Systems

Kansas City, KS • On-site

$98K - $130K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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.

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