Top Software Engineer Jobs in Kansas City, MO

Build, operate, and maintain scalable backend services and Kubernetes clusters across AWS and Azure. Contribute production code, Terraform IaC, CI/CD/GitOps workflows, observability, and testing while learning from senior engineers.

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.

The Senior Software Engineer will build user features using Golang and cloud technologies, lead tool implementation, and collaborate across teams to enhance productivity.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Build and scale full-stack customer and agent support experiences across React/TypeScript frontends and Go backend services. Own APIs, integrations, and AI/ML vendor integrations, drive CX outcomes through experimentation and metrics, improve reliability through on-call incident response, and collaborate with Product, Design, and Ops to deliver measurable product outcomes.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Lead the architecture and delivery of scalable compliance-platform capabilities for government vendors, federal agencies, and SLED organizations. Design new workflows, shared infrastructure, and tagging systems while partnering with engineering, product, go-to-market teams, and early design partners. Translate evolving requirements into durable solutions, lead complex cross-functional projects, and help shape engineering culture in a rapidly scaling environment.

Lead development of Elasticsearch vector similarity search capabilities, including designing algorithms and data structures, implementing features, fixing bugs, and improving code quality. Collaborate asynchronously with a globally distributed engineering team and open-source community. Serve as a subject-matter expert on vector search relevance and implementation while contributing modern Java code and guiding cross-functional initiatives autonomously.

Own the design and implementation of WISEcode’s automated quality engineering ecosystem. Build AI-augmented UI, API, integration, regression, database, performance, and reliability testing frameworks for ASP.NET and Blazor applications. Integrate testing into CI/CD, improve observability and release confidence, investigate failures and race conditions, validate AI/ML outputs, and establish scalable quality standards and metrics across engineering teams.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include architecture, modern C++ development, MPI/OpenMP query execution, SIMD and hardware optimization, distributed networking, database internals, in-database machine learning, vector indexing, performance tuning, code reviews, mentoring, and resolving scalability issues across large-scale clustered systems.

Design and develop massively parallel distributed database kernels for real-time analytics at terabyte and petabyte scale. Responsibilities include low-level C++ development, MPP query execution, SIMD and hardware optimization, distributed communication using MPI and RDMA technologies, database internals, vector indexing, in-database machine learning, performance tuning, architecture reviews, mentoring, and resolving scalability issues.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include query execution, columnar storage, transaction management, cluster coordination, hardware-aware optimization, SIMD vectorization, RDMA networking, in-database machine learning, vector indexing, performance tuning, architecture reviews, code reviews, mentoring, and resolving scalability issues.

Develop and maintain backend applications using .NET, C#, Redis, OpenSearch, AWS, and cloud-native technologies. Responsibilities include troubleshooting software issues, optimizing performance and reliability, conducting code reviews, supporting applications, and leading software and process improvements. The role also involves mentoring colleagues, collaborating independently or with teams, and ensuring high-quality software delivery.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, data structures, and bug fixes in modern Java. Improve search speed and relevance, contribute to Lucene, collaborate with a globally distributed engineering community, guide projects autonomously, review code, and work with technologies including Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra.

Translate design specs into pixel-perfect, responsive web interfaces using TypeScript, CSS3, and HTML. Follow design systems and accessibility (WCAG) standards, optimize frontend performance, resolve spec ambiguities, collaborate remotely via documentation and code reviews, and provide frontend expertise to support AI model evaluation.

Design, build, and maintain full‑stack features across frontend (TypeScript + React) and backend (Python, Node.js, or JVM languages). Own end-to-end development, testing, CI, databases, and cloud/distributed systems. Mentor engineers, participate in code reviews and pair programming, and work in an agile, remote team.

Senior full-stack engineer responsible for designing and building end-to-end features across frontend (TypeScript + React) and backend (JVM languages, Python/Node.js). Owns code quality, testing, CI, and collaborates in agile teams. Mentors junior engineers, participates in code reviews and pair-programming, and works with cloud, databases, and distributed systems. Remote role with occasional in-person meetups.

Lead Elasticsearch search relevance initiatives, designing and implementing search features, algorithms, data structures, and vector search capabilities. Improve performance, scalability, and relevance; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and provide technical direction. The role requires modern Java development, autonomous project ownership, code review, asynchronous communication, and expertise with search or vector databases at scale.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead development of Runware’s AI platform, including scalable backend APIs, SDKs, developer tools, and inference orchestration systems. Design high-performance distributed architectures, optimize image and video model integrations, improve reliability and observability, shape technical direction, and mentor engineers. Collaborate across platform, infrastructure, and product teams to deliver robust developer experiences and maintainable systems.

Leads application engineering for an AI-powered email product, owning backend, mobile, and desktop architecture. Designs reliable AI workflows with orchestration, state management, retries, fallbacks, and failure handling; builds APIs connecting AI capabilities to product experiences; and leads a senior engineering team through architectural decisions, reviews, mentorship, and production excellence. Partners with ML leadership to ship scalable, observable, secure, and reliable systems while balancing latency, cost, user experience, and maintainability.

Lead the architecture and development of reliable AI-powered email applications across backend, mobile, and desktop platforms. Design APIs and workflow systems supporting orchestration, state, tool use, retries, fallbacks, and failure handling. Lead a small senior engineering team, make architectural trade-offs, mentor engineers, and establish strong production practices including observability, monitoring, testing, scalability, security, and operational excellence. Partner with ML leadership to deliver robust, high-quality product experiences.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

The role involves leading initiatives for vector search in Elasticsearch, enhancing features, resolving bugs, and contributing to community engagements in a distributed team setting. A strong background in vector similarity and Java is crucial.

Lead technical direction and hands-on execution for major software products and systems. Design scalable architectures across backend, frontend, APIs, databases, and infrastructure; write code; drive architecture decisions; solve production issues; improve testing, security, observability, and development practices; lead critical initiatives; and mentor engineers across distributed international teams.