Top Software Engineer Jobs in Kansas City, MO

Build and maintain cloud-native ETL pipelines, data analysis applications, and scalable microservices for investment analytics. Collaborate with product owners, architects, and teams to design solutions, automate processes, support portfolio management, and provide on-call support within an Agile environment using AWS and Python-based tooling.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Design and build scalable full-stack applications, develop front-end and back-end features, implement REST APIs, work with SQL/NoSQL databases and CI/CD pipelines, follow testing and Git workflows, and collaborate with cross-functional teams.

Seeking a Software Engineer responsible for designing and developing scalable software solutions, participating in Agile processes, and collaborating with teams.

Develop, test, and maintain web applications across the full application lifecycle. Write clean object-oriented code, implement REST APIs, work with relational and NoSQL databases, deploy to cloud-native infrastructure, participate in Agile teams, support production systems (on-call), and create automated tests for reliability and performance.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

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.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.

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

The role involves optimizing hardware support within a software stack for AI model deployment, collaborating with teams and hardware vendors to enhance performance and portability across platforms.

The Software Engineer (Fullstack) at Sumble will develop and optimize software applications, manage data integration, enhance security, and ensure a high-quality user experience.

Lead technical direction and execution for Code Plane products (Batch Changes, Agentic Batch Changes, Code Monitors, Code Insights, src CLI). Translate customer feedback into roadmap, ship agent-focused features, mentor engineers, own architecture and quality, participate in on-call, and partner with Product, Design, and Customer teams to deliver scalable AI-agent developer tools.

Design and build scalable log ingestion pipelines, ensure system reliability, and optimize performance in a high-throughput environment.

The Software Engineer will develop AI agents for Sazabi, focusing on anomaly detection, root cause analysis, and improving workflow reliability. Responsibilities include prototyping, system design, and working with LLMs.

Develop the interface for an AI-native observability platform. Responsibilities include building features, debugging, and working on real-time streaming functionalities.

Own and improve cloud infrastructure and CI/CD for a production platform: design IaC (Terraform/CloudFormation), operate AWS services (EKS/ECS/Lambda), implement security and observability, automate operations, lead incident response, and contribute to QA automation and application reliability.

Build and operate backend and platform services for the Wikidata Query Service and related data pipelines. Improve reliability, scalability, observability, and automation; respond to incidents; support migrations and deployments; integrate with other Wikimedia systems; participate in design, code review, documentation, and knowledge sharing.

As a Full Stack Engineer, you will design, develop, and deploy backend services and user-friendly frontend applications while collaborating with the team to implement new features and improve processes.

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.

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.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Lead quality assurance and test strategy across Agile teams, drive automation for testing, mentor QA teams, and ensure high-quality software delivery.

Lead architecture and technical direction for an AI-first SaaS product (Growth Studio). Define scalable services, APIs, data flows, and AI-enabled workflows; guide integrations, run architecture/code reviews and POCs; mentor engineers; produce technical documentation; and partner with product, UX, QA, and ops to deliver reliable, secure, and maintainable platform capabilities for GovCon customers.

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.