Top Senior Engineering Manager Jobs in Kansas City, MO

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead a small engineering team as a hands-on technical manager to design, develop, and deploy core product features. Hire, scale, and mentor engineers while ensuring high quality, security, and best practices. Collaborate with Product, Data, and Clinical partners and drive execution for a new health plans and systems vertical and Bend Health platform work.

Lead one or more engineering teams owning mission, execution, code quality, and morale. Partner with product managers on roadmaps, remove roadblocks, improve processes, coach and grow engineers, and drive innovation while delivering high-traffic full-stack or data applications at scale.

Lead and manage the development of the Landscape systems management solution for Ubuntu, guiding a team of engineers and setting strategic goals.

Lead and manage a software engineering team to deliver scalable, secure SaaS applications. Drive development best practices (code review, testing, CI/CD), align technical execution with business goals, mentor engineers, participate in architecture and design, monitor KPIs, and integrate generative AI tools to improve productivity. Oversee hiring, training, performance evaluations, and cross-functional collaboration in an Agile environment.

Hands-on engineering leader who writes and reviews production code while managing a small team. Architects scalable systems, drives engineering and product strategy, improves developer workflows, supports pre-sales and integrations, defines KPIs, and partners cross-functionally to deliver high-quality SaaS products with evolving AI capabilities.

Lead and grow a full-stack application engineering team delivering end-to-end product features (React frontend, Kotlin-backed services). Own hiring, coaching, delivery, architecture, technical debt, quality, and cross-team execution. Drive product-aligned priorities, unblock hard problems, improve processes, and ensure operational ownership and predictable delivery.

Lead and grow a small SRE/DevOps team to ensure reliability, scalability, and compliance of an AWS-hosted SaaS platform handling PHI. Accountable for SLOs/SIIs, incident response, IaC (CDK/Terraform), CI/CD (GitHub Actions), observability, cost and capacity planning, security/compliance (HIPAA/SOC2/HITRUST), DR planning, and cross-functional partnership with engineering, product, and security.

Lead and grow an engineering team building StrongDM's just-in-time proxy and control-plane platform. Manage delivery of distributed systems in Go across AWS/multi-cloud, oversee code/design reviews (security, TLS/mTLS, credential brokering), translate roadmaps into execution plans, hire and develop engineers, and collaborate with product, architects, and DevOps/SRE to ensure secure, reliable platform operations and compliance with policy-as-code standards.

Lead multiple Agile development teams to deliver enterprise software; own architecture and technical design; drive end-to-end delivery, mentor engineers, champion AI-first innovation, ensure release quality, partner with product, and improve operational excellence.

Lead a cross-functional engineering team to design and deliver SMART on FHIR applications embedded in EMR workflows. Champion AI-driven, agent-assisted development, collaborate with data engineering on Python/dbt/SQL pipelines, implement engineering best practices, and manage hiring, mentorship, and stakeholder communication while ensuring quality, reliability, and interoperability.

Manage a team of cloud engineers to govern and optimize a multi-cloud environment while implementing security frameworks and managing vendor relationships.

Lead a 4–7 engineer team owning delivery of consumer and enterprise restaurant applications. Manage capacity, hiring, budgets, launch execution, long-term architecture, AI tooling guidance, cross-functional collaboration, and stakeholder communication to ensure scalable, reliable product rollouts.