Top Software Engineer Jobs in Kansas City, MO

Develop and maintain scalable client-side and server-side applications using JavaScript and Python. Work across the software development lifecycle, including architecture, deployment, testing, and maintenance. Improve reliability, performance, code quality, and operational practices through code reviews, mentoring, observability, and monitoring. Build AI/ML infrastructure supporting LLMs and RAG systems, contribute to open-source projects, and develop secure, production-ready platforms and developer tools.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Design, develop, and modernize scalable front-end UI applications using Angular and TypeScript. Lead large UI projects, enforce coding standards, write technical specifications, optimize performance, mentor engineers, collaborate full-stack, and support CI/CD and Agile practices to deliver user-centric features.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.

Design, configure, develop, test, and support scalable Salesforce solutions for federal clients. Build Apex and Lightning Web Components functionality, configure Salesforce security and workflows, and integrate Salesforce with external systems and AWS services. Gather requirements, support release planning, troubleshoot technical issues, participate in CI/CD and DevOps, and ensure compliance with federal security and governance requirements. Collaborate with government stakeholders, cloud engineers, QA, and business analysts while producing technical documentation and briefings.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Develop and maintain secure full-stack web applications using React, C#, .NET, SQL Server, Azure, and related technologies. Design integrations through web APIs, analyze requirements, debug defects, conduct root-cause analysis, write unit tests, perform code reviews, and document implementations. Participate in Agile ceremonies, follow OWASP security practices, uphold coding standards, automate processes, and collaborate with technical and non-technical stakeholders. This is a full-time temporary role through the end of 2026.

Design, build, and scale resilient distributed payment systems handling 1,000+ transactions per second. Collaborate with Product, Revenue Operations, Cloud Platform, and Security teams to shape product requirements and roadmaps. Lead AI-augmented software delivery, code reviews, testing, observability, performance optimization, incident response, on-call rotations, and root cause analysis while maintaining strict security, reliability, and low-latency standards.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Lead design and delivery of enterprise Adobe Experience Platform solutions. Architect schemas, identity, ingestion, governance, personalization, and integrations with CRM/data lakes. Optimize CI/CD and deployment processes, mentor engineering teams, coordinate cross‑functional stakeholders, ensure security/privacy compliance, and produce architecture documentation and implementation roadmaps.