Top Software Engineer Jobs in Kansas City, MO

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Build and scale consumer-facing mobile and web applications and backend services. Own features end-to-end across frontend and backend, optimize databases and queries, integrate third-party APIs, implement algorithms for risk and transaction evaluation, improve reliability and CI/CD, and contribute to testing, monitoring, and internal tools to support customer operations.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Provide advanced technical support for large MongoDB customers across the full MongoDB ecosystem (server, drivers, Atlas, Cloud Manager). Troubleshoot performance, architecture, recovery, security and storage issues end-to-end, develop support tools, mentor new hires, and liaise with product and engineering teams. Work EST shifts with a weekend shift expectation after ramp and participate in occasional off-hours coverage or regional events.

Build and maintain the TypeScript-based Duo Client SDK, including Node.js core packages, public APIs, browser-compatible modules, Vue 3 client components, and platform adapters. Responsibilities include migrating consumers from the GitLab Language Server, managing versioning and deprecation paths, strengthening credential security, optimizing browser performance, writing tests, conducting code reviews, and participating in on-call support.

Build and maintain full-stack software across data models, APIs, user interfaces, workflows, and production systems. Develop accessible, form-driven applications using TypeScript, Node.js, NestJS, React, and Next.js. Design transactional and flexible databases, implement asynchronous processing, and write unit, integration, and end-to-end tests. Participate in code reviews and technical design discussions while improving scalability, security, reliability, and WCAG compliance. Own features end to end with growing autonomy and collaborate with senior engineers and technical leadership.

Leads a backend platform engineering team, overseeing hiring, coaching, delivery, roadmap planning, architecture, and cross-functional collaboration. Builds reusable services, APIs, tools, and self-service capabilities supporting multiple products. Drives scalability, reliability, developer experience, observability, security, automation, incident response, capacity planning, and operational excellence while contributing to technical decisions and troubleshooting.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Architect and deliver scalable, secure systems across teams; solve complex cross-team problems; lead large technical initiatives; evaluate emerging technologies; mentor engineers; align technical direction with product and business outcomes while balancing performance, maintainability, and cost.

Lead a new data engineering team to define standards, drive cross-functional AI-driven initiatives, and provide hands-on guidance in SQL optimization, data modeling, and the GCP data/streaming stack. Balance technical leadership with people management, coach engineers, promote AI-assisted workflows, and collaborate with Product and Architecture to build a standardized data ecosystem.