Top Senior Software Engineer Jobs in Kansas City, MO

Design, build, and maintain large-scale, resilient systems; develop features and automated tests; mentor engineers; implement CI/CD and cloud-native infrastructure; integrate AI tools; lead projects, code reviews, and cross-team initiatives while improving engineering practices and documentation.

Architect, implement, and optimize cloud-based solutions; mentor junior engineers; design and deploy automated, production-grade systems; monitor cloud health and resolve incidents; apply cloud security best practices and healthcare compliance to ensure reliable, scalable infrastructure.

Lead design and delivery of platform capabilities that power a Federated GraphQL API and event-driven systems. Build and optimize gRPC endpoints, GraphQL APIs, and SQL for scale; own observability (DataDog, Bugsnag), mentor engineers, drive integrations, improve performance and reliability, and support customer-facing product teams across the organization.

Design, build, and operate secure, scalable cloud infrastructure and platform capabilities. Implement IaC, improve CI/CD, observability, and automation. Lead incident response, reliability, and DevSecOps practices. Mentor engineers, drive platform standardization, document runbooks, and participate in a 24/7 on-call rotation to support production systems and remediation of systemic infrastructure issues.

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Own and advance a core Helius backend system supporting Solana infrastructure. Design and release high-performance products, optimize latency and throughput, make architectural decisions, improve observability and incident response, and mentor engineers. The role requires end-to-end ownership of production systems at scale, with close collaboration with founders and engineering leadership. Relevant systems include data streaming, historical APIs, account indexing, and access control infrastructure.

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, write reusable code, document designs, estimate work, and support production services through on-call responsibilities. Improve reliability, performance, and scalability while mentoring engineers and establishing technical best practices across teams.

Design and build distributed storage systems optimized for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, scalability, performance, security, and efficiency initiatives for zettabyte-scale Azure storage. Collaborate with AI researchers and cloud infrastructure teams, mentor engineers, evaluate emerging technologies, and solve complex problems involving availability, durability, replication, high-performance I/O, metadata, indexing, caching, and data placement.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, GPUs, PCIe, firmware, drivers, and software. Develop automation, telemetry, diagnostics, playbooks, and escalation frameworks to improve observability, operational readiness, and mean time to mitigation for large-scale AI and HPC workloads.

Serve as the senior technical engineer on a delivery team, writing production code, shaping architecture, mentoring engineers, diagnosing complex issues, and owning software quality and reliability. Build TypeScript and JavaScript applications using Node.js, Express, React, PostgreSQL, REST APIs, testing, and observability. Modernize legacy systems, manage integrations and data synchronization, and use AI tools and automation to improve engineering workflows and delivery.

Seeking a Senior Software Engineer with 5+ years of experience to design and develop large-scale distributed systems, mentor junior engineers, and manage complex projects in a dynamic setting.

Design, build, and maintain backend services in TypeScript for millions of users; develop full‑stack features with React/React Native; participate in code reviews; provide technical leadership, mentorship, and architecture guidance; collaborate with PM and design; use monitoring/metrics and Agile practices to deliver scalable, user-focused products.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Design and develop software to onboard hardware accelerators and optimize storage datapaths for Azure Storage. Drive design, debugging, performance tuning, operations, and cross-team collaboration across research, compute, and storage to improve throughput, scale, reliability, and observability.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Design and deliver large-scale, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native, container orchestration solutions; integrate AI capabilities; participate in on-call rotations; mentor engineers and drive reliability, observability, and performance at scale.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Develop custom ServiceNow applications for work order management, scheduling, and dispatch. Collaborate with stakeholders and technical SMEs, enhance event rules and CMDB binding, build REST integrations and user interfaces, and configure Discovery, Service Mapping, MID Servers, Service Graph Connectors, and multisource CMDB. The role also involves creating discovery patterns, preventing duplicate CIs, configuring identification rules, migrating patterns across environments, and supporting multi-tier service discovery.

Lead design and implementation of backend services for payments, billing, ledgers, settlements, and reconciliation. Drive architecture, integrate with external payment and banking partners, ensure financial accuracy, security, compliance, scalability, and operate mission-critical production services.

Develop and independently execute backend features, build APIs, design data models, maintain infrastructure, and resolve customer issues. Write tested, scalable, reliable code and develop validation procedures. Support internal capabilities and ML systems while designing elegant solutions with strong observability, SLA, and scalability considerations. Collaborate with application and front-end engineers and own large backend-focused projects.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.