Top Senior Software Engineer Jobs in Kansas City, MO

Lead platform and infrastructure engineering to improve stability, developer productivity, CI/CD, observability, and shared libraries. Deliver platform projects, mentor engineers, own production availability and on-call, and drive platform decisions and best practices across the org.

As a Staff Software Engineer, you will develop backend architecture, collaborate with stakeholders, mentor juniors, and ensure software quality while leveraging various technologies and AWS platforms.

Lead the design and development of Pinecone's API and interfaces for AI agents, focusing on automation and observability while collaborating with cross-functional teams.

Serve as an embedded Linux expert on customer projects: design and refactor real-time architectures, develop Linux kernel drivers, debug low-level hardware/software issues, optimize kernel performance, collaborate with customers and internal teams, lead technical efforts, produce high-quality deliverables, and create technical proposals to support product lifecycle and certification.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.

Design and implement scalable web applications while raising engineering innovation standards. Communicate technical solutions to diverse stakeholders and collaborate with teams to deliver products.

Define and drive full-stack architecture and technical vision across teams, write high-quality production code, lead zero-to-one projects, productionize ML systems, own reliability and SLOs, mentor senior engineers, and align engineering roadmaps with product and company strategy.

Lead frontend engineering strategy, design and deliver accessible, performant government-facing web applications. Define frontend architecture, tooling, CI/CD, design systems, testing and accessibility practices; mentor engineers and collaborate with product to balance UX and implementation.

Lead backend and full-stack engineering strategy, design and deliver scalable, secure distributed systems and microservices for government customers. Drive architecture, data design, observability, CI/CD, cloud-native patterns, mentoring, and large modernization initiatives while collaborating with product and stakeholders.

As a Senior SDET, you will enhance testing practices, improve CI pipelines, mentor engineers, and ensure platform reliability through comprehensive testing strategies.

Build and evolve Nexus interfaces for Temporal SDKs across multiple languages. Design and implement runtime APIs and behaviors, integrate SDKs tightly with language runtimes for durable, deterministic execution, collaborate with OSS community, write technical documentation, and own end-to-end features with high reliability.

As a Senior Software Engineer, design, build, and maintain backend functionality for scalable multi-tenant services focused on data storage and retrieval. Lead technical initiatives, collaborate across teams, and ensure system reliability and performance.

The Staff Machine Learning Engineer will develop and maintain MLOps tools, optimize model performance, and collaborate on ML system architecture with a focus on enhancing developer experience.

Design, build, and optimize edge data-collection agents for Windows, Linux, and Mac. Collaborate with product, UX, and engineering to deliver backend features, own development lifecycle, create automated tests, support SaaS products, and participate in 24x7 on-call rotations.

Build and lead development of a customer-facing metric store for high-volume telemetry. Design scalable backend services, data models, ingestion pipelines, and query execution paths. Optimize query performance, storage efficiency, and system reliability. Collaborate with Product, Design, and Operations from architecture through production, mentor junior engineers, participate in on-call rotation, and help define testing, deployment, and operational practices.

Design, build, and operate high-scale Customer Care and Identity systems using React, TypeScript, Java/Node.js. Lead AI-first workflows, own end-to-end full-stack features, implement AI-driven efficiencies, ensure security and reliability, mentor peers, and collaborate cross-functionally on integrations and operational excellence.

Build and operate Go backend services for a non-custodial KMS powering embedded wallets. Implement key recovery, distributed key generation, TEE integrations, authentication and signing-provider flows, security review and hardening, and production operations on Kubernetes, including observability, secrets/certificate management, and compliance controls.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

Build and maintain large-scale batch and streaming data ingestion and ETL pipelines for global geospatial datasets. Implement, test, monitor, and optimize backend services on AWS; integrate data with APIs; mentor engineers; reduce technical debt; and participate in design, code reviews, and on-call support to ensure data quality and operational excellence.

As a Principal/Staff Software Engineer, you will design, implement, and lead embedded software for Optical DCI transport systems, ensuring performance and reliability.

The Senior Software Engineer will enhance Attentive's event streaming platform, architect high-throughput systems, improve tools for product teams, and tackle complex distributed challenges. Responsibilities include collaborating on messaging systems and modernizing the architecture.

Own and improve the end-to-end developer experience for AIMS ML teams: local/remote dev environments, build/test infrastructure, CI/CD, and internal platforms. Design, build, and operate large-scale build and CI systems, remove developer friction, instrument workflows, drive adoption, and set technical standards. Partner with ML researchers to prioritize productivity investments and evaluate/integrate GenAI-powered developer tooling with safety guardrails.

Own and scale the search, indexing, and data-scanning infrastructure for petabyte-scale data. Optimize hybrid lexical and vector retrieval for sub-second latency, design cost-effective hot/warm/cold data tiering and massive asynchronous scans, drive down latency and cost, and provide technical leadership for resilient, highly available indexing and retrieval systems.