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Senior Backend 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 Backend Developer information

See Kansas salary details

$57.1K

$124.7K

$169.9K

How much do senior backend developer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior backend 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 does a senior backend developer do?

A Senior Backend Developer is responsible for designing, building, and maintaining the server-side logic of web applications. They work with databases, APIs, and server infrastructure to ensure that applications run smoothly, securely, and efficiently. In addition to writing robust code, they often mentor junior developers, contribute to architectural decisions, and collaborate with frontend teams to deliver seamless user experiences. Their expertise is crucial for scaling applications and implementing best practices in software development.

What are the key skills and qualifications needed to thrive as a senior backend developer, and why are they important?

To thrive as a Senior Backend Developer, you need advanced proficiency in server-side programming languages (such as Java, Python, or Node.js), deep understanding of API design, and experience with database management, often supported by a degree in computer science or related field. Familiarity with version control systems (like Git), cloud platforms (such as AWS or Azure), and relevant certifications in backend technologies are commonly required. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with cross-functional teams and mentor junior developers. These competencies ensure robust, scalable backend systems and drive successful project delivery in complex technical environments.

What are common challenges senior backend developers face when leading complex projects, and how can they address them?

Senior Backend Developers often encounter challenges such as integrating legacy systems with new technologies, ensuring scalability under increased load, and coordinating cross-functional teams for seamless feature delivery. Addressing these challenges typically involves proactive architectural planning, clear communication with frontend and DevOps teams, and adopting best practices like code reviews and automated testing. Staying updated on emerging technologies and fostering a culture of knowledge sharing within the team also help in overcoming technical obstacles and driving successful project outcomes.

What is the difference between Senior Backend Developer vs Backend Developer?

AspectSenior Backend DeveloperBackend Developer
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesign architecture, mentor juniors, optimize systemsImplement features, fix bugs, write code
Skills & CertificationsAdvanced coding, system design, relevant certificationsBasic coding, database knowledge
Work EnvironmentCollaborates with cross-functional teams, often in larger projectsFocuses on individual tasks within projects

The main difference between a Senior Backend Developer and a Backend Developer lies in experience, responsibilities, and leadership. Senior Backend Developers typically have more years of experience, take on complex system design, and mentor junior staff, whereas Backend Developers focus on implementing features and fixing bugs. Both roles are essential in backend development teams, but the senior role involves more strategic and leadership duties.

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

The most popular types of Backend Developer jobs in Kansas are:

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

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

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

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

What cities in Kansas are hiring for Senior Backend Developer jobs?

Cities in Kansas with the most Senior Backend Developer job openings:

Senior Backend Developer jobs near you
Infographic showing various Senior Backend Developer job openings in Kansas as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% 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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