Top Software Engineer Jobs in Kansas City, MO

Designs and maintains Java and Spring Boot microservices for a secure, scalable AWS foundation platform. The role focuses on authentication, identity integrations, APIs, cloud infrastructure, fault tolerance, CI/CD, production support, and reliability. Responsibilities include architectural design, code reviews, mentorship, cross-team collaboration, and monthly on-call support. Required expertise includes SAML, OAuth 2.0, OIDC, JWT, RBAC, AWS services, distributed systems, and secure cloud-native development.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

Build and optimize highly performant backend systems, APIs, microservices, and real-time data-processing infrastructure in Go and Node.js. Design scalable distributed systems, integrate services, troubleshoot complex issues through experimentation, and improve reliability through performance tuning, debugging, and testing. Participate in on-call rotation, collaborate across functions, contribute to engineering best practices, and mentor junior developers in a fully remote global team.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster lifecycle services, reconciliation loops, reliability mechanisms, and interfaces for hardware and cluster health. The role requires Go, Kubernetes controller patterns, bare-metal provisioning, asynchronous systems, and experience with infrastructure technologies such as Metal3, Cluster API, and Temporal.

Own customer deployments for Cassi by mapping operating-company workflows, building integrations and ETL pipelines, developing custom automations, and ensuring reliable live operations. The role combines hands-on TypeScript and Node.js engineering with customer-facing implementation, debugging, data reconciliation, incident response, and product feedback. This founding engineer will define the forward-deployment function, determine which solutions should become core product capabilities, and potentially build the future team.

Designs, develops, and integrates ServiceNow solutions focused on CMDB, ITSM, ITOM, and SPM. Builds scripts, workflows, integrations, and service topology capabilities using external data sources. Troubleshoots complex integration issues, collaborates with stakeholders to define requirements, leads technical design, mentors developers, and supports documentation and data management planning for a DoD customer.

Build and maintain full-stack web applications, APIs, services, and internal tools supporting driver experiences, geospatial capabilities, cross-dock operations, and logistics platforms. Develop primarily with React, TypeScript, Go, and Ruby on Rails while contributing to scalable architecture, testing, reliability, performance, code reviews, and cross-functional delivery with Engineering, Product, and Operations teams.

Analyze and troubleshoot mainframe JCL batch workloads, schedules, CICS environments, and related configurations. Convert legacy batch jobs into PowerShell scripts for Azure, automate recurring cloud batch processing, optimize concurrency and performance, and maintain secure PowerShell modules. Document business requirements, collaborate with stakeholders and cross-functional technical teams, and support mainframe-to-cloud migration projects using Agile practices.

Build and operate an AI-native software development lifecycle across planning, coding, review, testing, deployment, and incident response. Develop internal AI agents, shared harnesses, CI/CD gates, automated QA, code reviewers, and developer workflows. Embed with engineering teams, ship on their backlogs, drive adoption, remove infrastructure and tooling blockers, and measure improvements in throughput, quality, cycle time, cost, and developer experience.

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.