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Streaming Software Engineer Jobs in Kansas (NOW HIRING)

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Minimum of 7 years in software or AI engineering, with at least 2 years in technical leadership or ... Demonstrated success managing end-to-end delivery for engineering teams or overseeing multi-stream ...

Textron

2027 Entry Level - Industrial Engineer

Wichita, KS · On-site

$69K - $93K/yr

... model Value stream mapping, network mapping and associated gap analysis Implement methods for ... Utilize Simulation modeling software to identify and alleviate capacity constraints and improve ...

Textron

2027 Entry Level - Industrial Engineer

Wichita, KS · On-site

$62K - $84K/yr

Value stream mapping, network mapping and associated gap analysis * Implement methods for improving ... Software Proficiency in SAP, AutoCad, Microsoft Office (Excel & Access), Simulation software

Equity Bank

Senior Solutions Architect

Wichita, KS · On-site

Define integration approaches (REST APIs, event streaming, ETL/iPaaS, ESB) and canonical data ... Computer Science, Information Technology, Software Engineering, Information Systems, Computer ...

Equity Bank

Senior Solutions Architect

Wichita, KS · On-site

Define integration approaches (REST APIs, event streaming, ETL/iPaaS, ESB) and canonical data ... Computer Science, Information Technology, Software Engineering, Information Systems, Computer ...

Equity Bank

Senior Solutions Architect

Wichita, KS · On-site

Define integration approaches (REST APIs, event streaming, ETL/iPaaS, ESB) and canonical data ... Computer Science, Information Technology, Software Engineering, Information Systems, Computer ...

Infosys

Full Stack Java Developer

Overland Park, KS · On-site

$52 - $67/hr

... Facilitate software application design discussions, and document design decisions to guide the ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

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Streaming Software Engineer information

What is a streaming software engineer?

Streaming Software Engineers are professionals who design, develop, and maintain software systems that enable the real-time delivery of audio, video, or data streams over networks. They work with technologies such as video encoding, adaptive bitrate streaming, real-time protocols, and distributed systems to ensure seamless and efficient content delivery. Their responsibilities often include optimizing streaming performance, ensuring low latency, and integrating with various platforms and devices. Streaming Software Engineers typically collaborate with product teams, operations, and other engineers to build scalable and robust streaming solutions.

What are the key skills and qualifications needed to thrive as a streaming software engineer?

A Streaming Software Engineer should have a solid background in computer science, programming (often in C++, Java, or Python), and real-time data processing, typically supported by a relevant degree or equivalent experience. Familiarity with streaming platforms and protocols (such as Kafka, Flink, or Spark Streaming), as well as cloud infrastructure and containerization tools, is commonly required. Strong problem-solving abilities, collaboration, and effective communication are essential soft skills for this role. These competencies ensure efficient development, deployment, and maintenance of reliable, high-performance streaming systems that handle large-scale real-time data.

What are some common challenges faced by streaming software engineers when optimizing real-time data delivery?

Streaming Software Engineers often encounter challenges related to latency, data consistency, and scalability when optimizing real-time data delivery. Maintaining low latency while handling large volumes of concurrent data streams requires careful architecture choices and efficient resource management. Additionally, ensuring data reliability and accuracy across distributed systems can be complex, especially as user demand grows. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges and deliver seamless streaming experiences.

What cities in Kansas are hiring for Streaming Software Engineer jobs?

Cities in Kansas with the most Streaming Software Engineer job openings:

Streaming Software Engineer jobs near you
Infographic showing various Streaming Software Engineer job openings in Kansas as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead AI Engineer

Kansas City, KS • On-site

Conflux Systems
IT Services • 11 - 50 employees
Learn more about Conflux Systemsexternal

$98K - $130K/yr

Full-time

Re-posted 27 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.

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