Commission Backend Developer Python Jobs in Kansas

About the Role:

• Lead the design, development, and deployment of scalable, resilient, and high-performance software solutions with a focus onagenticAI/ML capabilities.

• Provide hands-on technical leadership throughout the entire software development lifecycle, from concept and design to testing, deployment, and operational support.

• Architect and build full-stack applications and services thatoperateon an internetscale, ensuring high availability and low latencyon modern cloud platforms (AWS, Azure, GCP).

• Drive the technical vision and strategy for AI/ML-powered features and products, translating business requirements into robust technical designswith rapid iteration and incremental delivery.

• Mentor and guide a team of software engineers, fostering a culture of technical excellence, innovation,collaboration, speed, and AI-augmentedproductivity.

• Collaborate closely with product managers, data scientists, researchers, and other engineering teams to deliver impactful solutionsaligned with business goals.

• Leverage AI-assisted development tools and practices to accelerate delivery (GitHub Copilot, Claude Code, LLM-powered workflows).

• Champion best practices in software engineering, including code quality, testing, CI/CD, and DevOpswith a pragmatic, outcome-drivenapproach.

• Stay current with emerging technologies and industry trends, particularly in AI/ML,agentic and LLM-based systems,multi-agent architectures,distributed systems, and cloud computing.

• Contribute tocode reviews, design discussions, and architectural decisionswith hands-on involvement in implementation.

• Troubleshoot and resolve complex technical issues in production environments.

About You:

• 10+ years of professional software development experience, witha significant portionina technical leadership role.

• Extensive hands-on experience in designing, building, andoperatinglarge-scale, distributed internet services.

• Proven experience in developing and deployingagentic AI systems andAI/ML models into production environments. This includes familiarity with the end-to-endMLOpslifecycleand modern LLM-based architectures.

• Strongproficiencyin multiple programming languages such as Python, Java, Go,Rust,C++or similar.

• Deep understanding of full-stack development, including front-end technologies (e.g., JavaScript, TypeScript, Dart, React, Flutter) and back-end technologies (gRPC,protobuf).

• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes)as a primary deployment model.

• Advanced Cloud & K8s Infrastructure: Deepexpertisein Kubernetes (Helm,ArgoCD), advanced cloud networking (Ingress, Calico), Zero Trust Security (OPA), Service Mesh (Istio/Linkerd), andeBPF(Cilium) for high-performance observability and traffic management.

• Solid understanding of database technologies (SQL and NoSQL).

• Demonstrated use of AI productivity tools (GitHub Copilot, Claude, ChatGPT, etc.) to accelerate software development.

• Bias for action: proventrack recordof fast, iterative, incremental delivery over analysis paralysis.

• Business outcome orientation: focus on delivering value and measurable results, not just technical outputs.

• Excellent problem-solving, analytical, and technical troubleshooting skills.

• Strong communication, interpersonal, and leadership abilities.

• Ability to thrive in a fast-paced, agile environmentwith a strong hands-on coding presence.

• Preferred:Contributions to open-source projects.

• Preferred:Experience workingat FAANG (Facebook, Amazon, Apple, Netflix, Google) or other leading Big Tech companies.

• Preferred:Experience with big data technologies (e.g., Data Bricks, Snowflake,Big Query,Spark, Hadoop, Kafka, etc.).

• Preferred:Experience in the cybersecurity domain.

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