Top Software Engineer Jobs in Kansas City, MO

Work across the full stack on Higharcs Estimate product: optimize queries, build React UI components and frontend state, write e2e tests, integrate external APIs, and occasionally work with CAD/geometry. Own projects end-to-end, maintain code quality through tests and reviews, and collaborate cross-functionally to deliver high-impact features.

The Senior Software Engineer will develop a new Managed Service Provider solution for mobile security, focusing on feature development and complex projects, guiding initiatives from design to deployment.

Design, implement, and maintain high-quality, highly available microservices for Azure Messaging and Fabric. Drive AI adoption to improve development practices, optimize system IO and performance, and lead innovation in product and engineering processes while following rigorous development and security screening practices.

Lead design and implementation of large-scale Pub/Sub and messaging services within Azure Event Grid/Microsoft Fabric. Define scalable, reliable architectures, drive testing and CI/CD automation, build developer tooling, mentor engineers, manage incident response and operational excellence, and collaborate with PMs, EMs, researchers, and customers to deliver production-ready cloud services.

Design, implement, and operate low-level components of Azure's distributed storage platform. Contribute to design documents, write production code (C/C++/Java), decompose work, participate as on-call DRI, and improve system reliability, performance, and observability at scale.

Lead design and implementation of a no-code/low-code marketing content platform. Own serving and hydration of billions of personalized marketing pieces, ensure system availability and quality, work across front-end, GraphQL API, and storage layers, use DevAI tools, improve usability, mentor engineers, and partner with product, design, and marketing stakeholders to drive revenue-impacting initiatives.

Lead technical strategy and hands-on engineering for Airbnb's AI-powered ads growth engine. Architect scalable systems for creative generation, bidding, budget optimization, and audience management across paid channels. Write and review code, set standards for availability and quality, collaborate with Marketing/Product/ML teams, roll out staged automation, and mentor engineers to advance platform autonomy while ensuring brand safety and human-in-the-loop controls.

Design, build, and maintain a secure cross-platform situational-awareness platform from a single codebase (Flutter client, Go backend). Work full-stack on real-time, offline-first, and resilient systems, integrate with defense systems, harden security (PKI, mTLS, token auth), and collaborate with cross-functional teams and government partners.

The Senior Salesforce Developer will lead the Salesforce platform's technical health, focusing on quote-to-cash workflows and revenue operations while managing integrations and system migrations.

Senior Node.js engineer responsible for building and maintaining scalable backend Node/TypeScript microservices, supporting UI work in React/Angular, designing APIs, implementing CI/testing, working with containerization and cloud infrastructure, and advising stakeholders on technical trade-offs and feature engineering.

Lead and own the technical systems and teams that run operations, redesign GTM architecture for AI, manage managers and ICs, drive company-wide AI-native capabilities, and personally deliver high-priority technical initiatives that improve business outcomes.

Build and evolve a large-scale search and reporting platform: design and implement streaming data pipelines, improve search relevancy and indexing, scale systems 10x, control costs, ensure production readiness (testing, monitoring, reliability), support escalations, and collaborate on architecture, code reviews, and hiring.

Design and document cloud-native solutions using .NET and Azure. Translate requirements into scalable, secure architectures, create ADRs and diagrams, guide engineering teams, enable CI/CD and IaC, incorporate Azure AI where appropriate, and ensure reliability, observability, and operational readiness.