Top Software Engineer Jobs in Kansas City, MO

The Solutions Engineer will support the integration of Near Intents, assist developers, enhance product stability, and provide technical support to ecosystem partners.

Lead company-wide transformation of test automation and quality engineering: define vision and roadmap, architect scalable testing frameworks across server/web/mobile/desktop, integrate AI/LLM for test generation and flakiness management, establish observability and quality gates, mentor engineers, and partner with leadership to embed quality across the SDLC.

Build and ship production frontend features using modern web technologies (Vue.js/TypeScript). Collaborate with product in a cross-functional squad to iterate UX, deliver secure, stable code, and create reusable, testable components. Operate in an AI-first workflow using agentic tools, participate in Git-based development, and apply basic AWS services to solve business problems.

Design and implement backend APIs and performant database schemas (Postgres/SQL); build scalable, testable C# services; work in Agile cross-functional squads; incorporate AI-assisted development tools; and drive engineering maturity and efficiency.

Lead front-end-focused full‑stack development for a multi‑tenant SaaS online banking platform. Build reusable component libraries, migrate legacy UI, optimize UI performance, troubleshoot across front-end and service layers, participate in on‑call rotations, mentor junior engineers, and ensure API‑first integrations and cloud‑native deployments.

Design, develop, and optimize SuiteCommerce solutions and SCA extensions for financial services. Build SSP applications and backend logic with SuiteScript, JavaScript, HTML/CSS, Backbone.js. Integrate third-party systems via REST/SOAP, maintain payment gateway and compliance integrations, and collaborate with teams to enhance eCommerce and client portal capabilities while tracking NetSuite updates.

Lead full‑stack development of complex research platforms, set technical direction and architecture, integrate data pipelines and evaluation frameworks, mentor engineers, promote AI-assisted engineering practices (e.g., Claude Code), assist hiring/onboarding, and represent technical work across teams to deliver scalable, secure software for digital safety research.

Design, develop, and maintain scalable SaaS platform features using C#, PostgreSQL, React/TypeScript, and AWS. Lead architectural decisions, ensure code quality through testing and reviews, troubleshoot production issues, mentor engineers, collaborate with cross-functional teams, and participate in on-call incident response to maintain reliability and performance.

As a Staff Data Engineer, you'll architect and build data pipelines, champion small data strategies, mentor teams, and ensure operational excellence in data workflows.

Build polished, maintainable React-based front-end product experiences; evolve front-end architecture and component patterns; translate ambiguous product ideas into executable plans; collaborate with product and design; prioritize UX quality, testing, and pragmatic tradeoffs; mentor and raise team effectiveness at the Staff level.

Develop and maintain embedded firmware and kernel/user-mode device drivers for Ethernet-based networking devices. Design, implement, test, and integrate drivers into a Linux and AUTOSAR communication stack, build SDK components, and create debug/test utilities and automated unit/system tests for safety-critical automotive applications.

Design, build, and support scalable, stable web and mobile digital products. Communicate with stakeholders, estimate scope, lead and mentor engineers, produce extensible technical solutions, and use data-driven iterative development.

Lead platform strategy, architecture, and hands-on development. Design, build, deploy, and operate high-performance, fault-tolerant integrations and platform enhancements. Drive security/compliance, mentor engineers, recruit senior talent, align technology with business goals, and communicate technical vision to stakeholders.

Lead full-stack growth engineering efforts to optimize top-of-funnel and intake workflows. Ship reliable, observable, and scalable features; connect technical investments to product and business metrics; build tooling and automation; integrate external partners; leverage data, A/B testing, and AI to reduce friction and improve conversions while ensuring privacy, compliance, and high-quality engineering practices.

Design, implement, and own complex features and services for a large-scale CPM platform. Lead technical design, build modern UIs, design APIs and JSON/XML contracts, drive performance and reliability improvements, mentor engineers, lead code reviews, contribute to CI/CD and production support, and responsibly employ AI-assisted development tools.

Lead design and implementation of batch and stream loading systems to ingest terabytes daily. Provide technical leadership on the Streamloader team, collaborate with architects, engineers, product, sales, and customers, and develop high-performance distributed software in C++ and/or Java while ensuring system reliability and customer success.

Design and build secure, scalable cloud-native, AI-enabled applications and microservices for utilities. Lead architecture, translate requirements, develop APIs and data-driven solutions, mentor engineers, and ensure software quality and delivery.

Design, configure, and administer the Splunk observability platform for enterprise-scale log and event ingestion. Optimize pipelines for performance, cost, and retention; integrate Splunk with cloud platforms (AWS, Azure, Kubernetes), CI/CD and deployment tools (Puppet, Ansible), and enterprise systems (ServiceNow, PagerDuty). Implement automation using Python/Bash, manage Splunk apps/roles, and support observability and APM initiatives while collaborating within SAFe using Jira and Confluence.

Lead architecture and evolution of enterprise observability platforms (APM, infrastructure monitoring, session replay, log analytics). Define integration patterns, telemetry standards, and governance. Partner with Engineering, SRE, Product, and Infrastructure to embed observability best practices, evaluate new technologies (OpenTelemetry, distributed tracing, AI-driven observability), drive platform standardization, and manage vendor relationships to improve MTTD/MTTR and system reliability.

Design and build Alpaca's low-latency, high-throughput algo trading platform. Implement frontend and backend components, optimize performance, design distributed systems and data models, and develop/order and risk management systems for high availability.

Design, develop, and maintain backend platform services and APIs using Go/JS/Node/GraphQL. Lead architecture, CI/CD, and AWS-based deployments (Lambda, Fargate). Troubleshoot production issues, produce technical designs and estimates, mentor junior engineers, and drive scalable software best practices.

Lead engineering and develop API-focused full‑stack solutions for brokerage products. Design scalable architectures, build secure cloud-native applications (AWS), drive API strategy, implement CI/CD and DevOps practices, mentor team members, and ensure code quality via TDD/BDD and security/static analysis tools.

Design, implement, test, and maintain software; author technical designs; write unit and automated tests; participate in code reviews; break down stories and provide estimates; coordinate with Agile teams; own small deliverables and professional development; work with contractors and share best practices.

Design and build Java/J2EE Spring-based APIs and multi-layer applications; develop web services and database schemas (DB2/Oracle) with PL/SQL; participate in code reviews, unit/integration testing; coordinate technical deliveries across teams and support CI/CD and DevOps collaboration.

Design, develop, and maintain scalable full-stack applications for intermediary clearing and custody platforms. Collaborate with product, architecture, and engineering teams to modernize applications, implement cloud migrations, build APIs, automate workflows, and improve CI/CD, observability, security, and deployment practices in an Agile environment.