Top Software Engineer Jobs in Kansas City, MO

As a Founding Software Engineer, you'll architect and evolve core backend systems and streaming data pipelines, optimize performance and storage, and define data models to enhance AI deployment safety and performance in real-time environments.

The Software Engineer will develop a modern data platform, manage architecture, write reusable code, and ensure system integrations. Responsibilities include collaborating with teams, documenting processes, and enhancing applications.

Develop and maintain the Keycard Agent SDK, ensuring compatibility with various languages and frameworks, while engaging with the developer community to enhance agent applications.

As a Software Engineer at Keycard, you'll design, develop, and implement identity and access infrastructures for dynamic, agent-native systems. You'll work on innovative projects that enhance developer experience and security, collaborating closely with a distributed team.

The role involves developing APIs, building internal tools, and collaborating with teams to enhance system performance while solving engineering challenges.

As a Backend Engineer, you'll develop software for backend systems and APIs, ensuring high quality and performance. You'll collaborate with cross-functional teams, take ownership of your projects, and manage on-call duties.

The Software Engineer will design, implement, and maintain real-time services for Twilio's Voice Trust team, ensuring robust and high-throughput communication solutions. Responsibilities include gathering requirements, coding, testing, and on-call support in a distributed production environment using Agile methodologies.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

As a Software Engineer on the Edge team, you will own edge networking configuration, manage DNS, and improve observability while shaping the team's engineering practices.

Designs, develops, and deploys AI-driven, cloud-native applications on Azure. Builds RAG knowledge systems, AI agents, secure APIs, and orchestrated workflows using C#, .NET, Azure services, Docker, and CI/CD. Collaborates with stakeholders, ensures observability and security, supports production incidents, and provides documentation and knowledge transfer.

Build and maintain production-grade APIs, services, developer tooling (SDKs, CLIs, validators), and documentation. Implement CI/CD, infrastructure as code, cloud environments, and observability. Collaborate across disciplines, mentor teammates, troubleshoot production issues, and use AI tools responsibly to improve delivery.

You will develop and enhance the LivePerson Voice product, focusing on stability and innovation, and create new APIs and features while collaborating with teams to deliver quality software solutions.

Develops and operates Planet's large-scale distributed backend services to process satellite imagery workflows reliably 24x7. Builds cloud-native services (Go/Python) on Kubernetes/GCP, manages persistence (Spanner, Redis, Postgres, BigTable), improves scalability and reliability, implements monitoring/alerts/runbooks, and participates in on-call rotations and incident response.

Lead full‑stack development of cloud-based web applications, designing and implementing front-end and back-end components, CI/CD pipelines, and infrastructure (Terraform/AKS). Mentor developers, collaborate with product/design/architects, ensure performance, security (OAuth/JWT), testing, and integration with databases and third‑party services. Provide technical leadership and ownership across project lifecycle and production support.

Map and analyze Epic system tables and data to the Premier spec, develop data transformations and scripts, build SQL queries, stored procedures, and indexes, document mappings, act as SME with vendors/clients, and report project status via tools like JIRA.

Develop full-stack web applications and services using Angular and ASP.NET Core. Build responsive front-ends, business logic, and data access layers; design and implement robust APIs, follow SOA and event-driven patterns, participate in architecture decisions, code reviews, and the full development lifecycle in an Agile team.

Develop and deliver Salesforce solutions across configuration, customization, and third-party integrations. Write clean Apex and Lightning Web Components, use Git for source control, follow Salesforce development lifecycle and best practices, mentor junior teammates, and advise government healthcare clients on modernization and technology adoption while meeting vetting and Public Trust requirements.

The Senior Software Engineer will lead the development of payment systems, oversee key subsystems, mentor engineers, and ensure high-quality code and architectural standards while collaborating with cross-functional teams.

The Senior Software Engineer will design and develop scalable applications, enhance DevOps practices, and drive continuous improvement within infrastructure and systems.

This role involves leading web platform initiatives, mentoring senior engineers, architecting web applications, and implementing technical strategies for improved performance.

The Senior Software Engineer will lead and support a team in developing reliable and scalable backend systems, collaborating on product development, and improving infrastructure for secure communication between services.

Lead and build a new Trust & Safety engineering domain: design and implement systems to detect and mitigate fraud, billing anomalies, and credential abuse. Architect product and operational solutions, mentor engineers, define processes, and deliver scalable, auditable safety tooling across internal and external workflows.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.