Top Software Engineer Jobs in Kansas City, MO

Design, develop, and validate functionally safe software for robotic perception systems. Build safety-critical architecture across Linux and real-time operating systems, create testing and validation frameworks for edge cases, collaborate with machine learning, hardware, and core software teams, and mentor junior engineers on safety-critical coding practices.

Develop and optimize Oracle databases for high-volume government applications. Responsibilities include data modeling, database architecture, SQL and PL/SQL development, performance tuning, testing, production support, reusable database object development, technical design, code-quality standards, peer reviews, documentation, and CI/CD integration for database changes. The role may also contribute to Java Spring Boot microservices and Angular/TypeScript front-end applications while collaborating with development, DevSecOps, design, and analytics teams.

Develop, deploy, maintain, and customize Oracle E-Business Suite applications and EDI integrations. Responsibilities include PL/SQL development, Sterling B2B process and mapping, technical design, requirements analysis, testing, deployment, production support, troubleshooting, reporting, forms development, and integration issue resolution. The role supports finance and supply chain modules, participates in a 24/7 on-call rotation, and collaborates with business analysts and stakeholders.

Leads and develops a team of mobile software engineers building NPR applications. Responsibilities include coaching, hiring, Agile delivery, technical planning, code and design reviews, workflow automation, production incident response, vendor coordination, and cross-functional collaboration. The role requires prior hands-on mobile engineering experience, proficiency in native iOS or Android technologies, release infrastructure, Git, and Agile/Scrum practices.

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Design, develop, maintain, and support a large Salesforce environment across Sales Cloud and Service Cloud. Build Apex, Aura, and LWC solutions; implement Data Cloud and AgentForce capabilities; maintain integrations and data flows; troubleshoot production issues; create reports and dashboards; recommend automation; participate in architecture, testing, deployment, documentation, and code reviews; and enforce scalable Salesforce development practices.

Leads the day-to-day management and delivery of internal and partner engineering teams. Responsibilities include assigning work, unblocking engineers, maintaining scoped tickets in Linear, coordinating shared workstreams, shaping technical direction with product and engineering teams, managing performance and growth, and supporting hiring and team structure. The role also champions spec-driven development and AI-assisted engineering practices while managing distributed engineers across time zones.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.