Top Engineering Manager Jobs in Wichita, KS

Leads the engineering team building Webflow’s code-native platform, including high-fidelity visual-to-code workflows and coding-agent integration. Sets technical and product direction, shapes architecture, owns developer experience, sequences platform and customer-facing work, and partners across product, design, and engineering. This player-coach role includes architecture reviews, prototyping, hands-on contributions, hiring, coaching, and developing a high-performing technical culture.

Lead and develop the AgentControl Evaluations engineering team while providing technical leadership for offline evaluations, playgrounds, LLM-as-judges, and annotated datasets. Partner with Product and Design on roadmap planning, own feature delivery, improve reliability and incident response, coordinate shared infrastructure, communicate progress and risks, foster collaborative team norms, and participate in hiring and career development.

Lead two engineering teams of 8–10 engineers, owning delivery, quality, capacity planning, sprint execution, OKRs, hiring, retention, and professional development. Establish scalable engineering processes, quality gates, testing standards, observability, and continuous improvement practices. Partner with Product Managers on roadmap execution while providing technical guidance on architecture, APIs, backend systems, infrastructure, and frontend platforms.

Leads two distributed frontend engineering squads responsible for platform foundations, navigation, search, and resource organization. Oversees hiring, team development, technical direction, delivery, customer discovery, roadmap prioritization, and operational excellence. Partners with Product and Design, drives AI and automation adoption, maintains engineering standards, participates in management on-call, and improves productivity, reliability, accessibility, and customer outcomes across Grafana’s open-source and cloud products.

Leads ABB’s U.S. Electrification Services Application Engineering organization supporting commercial operations and sales. Responsibilities include developing technical teams, engaging customers, conducting site assessments, creating solutions, overseeing statements of work and job cost estimates, improving proposal processes, managing KPIs, standardizing engineering practices, and implementing digital tools, automation, and technical training to improve quality, responsiveness, and customer satisfaction.

Lead and develop mobile engineering teams building Ford’s customer-facing app. Provide technical direction across product development and production, review architectures and designs, establish engineering standards for documentation, code quality, testing, and operational excellence, evaluate mobile technologies, and partner with product, design, and engineering leaders to deliver reliable, scalable experiences.

The Engineering Manager will lead and mentor engineering teams, define technical strategies, collaborate with cross-functional teams, and drive project success with a focus on high-quality software delivery.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.

Leads and mentors cross-functional engineering teams building and operating distributed, API-driven, cloud-native platforms. Owns technical strategy, architecture, delivery outcomes, engineering excellence, operational reliability, and API lifecycle governance. Drives Agile, DevOps, cloud migration, observability, and incident management practices. Establishes responsible AI adoption across software development and guides delivery of AI-enabled products, including agentic solutions, with appropriate evaluation and controls.

Leads multiple engineering teams developing customer-facing web applications, APIs, and services for DNS and IP Acceleration products. Responsibilities include people development, technical direction, delivery planning, dependency and risk management, architecture oversight, operational readiness, cross-functional collaboration, and continuous improvement. The role requires balancing technical leadership with accountability for product outcomes across established products and new capabilities.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Leads a distributed frontend engineering team responsible for Firefox Desktop user interface improvements. The manager drives technical decisions, project delivery, quality, monitoring, maintainability, engineering processes, hiring, mentoring, feedback, and team development. They collaborate with Product, UX, QA, Operations, and Data Science, manage risks and trade-offs, communicate with senior leadership, and deliver user-facing experiences across concurrent initiatives.

Leads and mentors a team of 4–6 engineers while contributing code and providing technical direction. Owns agile rituals, production feature delivery, technical architecture, performance, scalability, reliability, observability, and technical debt reduction. Partners with product and design teams, supports enterprise customers, and drives adoption of AI throughout software development. The role focuses on healthcare software, patient data collection, regulatory compliance, benchmarking, and integrations using HL7 and FHIR.

Leads DevOps engineering teams and manages cloud infrastructure and foundational services across AWS, GCP, and Azure. Oversees infrastructure as code, Kubernetes, CI/CD pipelines, scalability, reliability, cost optimization, monitoring, troubleshooting, and cloud security. Partners with product, engineering, and security stakeholders while mentoring engineers and driving continuous improvement and modern DevOps practices.

Leads a quality engineering team while remaining hands-on with AI-powered test automation across API, UI, integration, and end-to-end workflows. Evaluates AI tools, improves test frameworks and regression efficiency, supports release readiness, analyzes defects, tracks quality metrics, and partners with Engineering, Product, DevOps, and Release teams. Coaches employees on AI-native quality practices, prompt engineering, responsible AI use, and evaluating AI-generated tests.

Lead multiple teams in building production quality AI systems, ensuring reliable delivery and effective people management while establishing standards and practices.

Lead and grow a high-performing engineering team, partner with stakeholders to ensure the right problems are solved, guide technical decisions and architecture, improve processes and remove bottlenecks, balance long-term investments with near-term delivery, and foster ownership and continuous improvement in a remote, distributed environment.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Lead and scale the engineering team, hire engineers, set technical direction, ensure engineering excellence, and foster a high-performance culture.

As an Engineering Manager, you'll lead and develop an engineering team, ensuring technical quality, fostering growth, and guiding product initiatives, while utilizing AI effectively.

Lead and grow a platform engineering team to build and operate reliable, scalable cloud platforms and developer infrastructure. Hire and develop engineers, drive technical vision, participate in product strategy, and contribute to cross-engineering initiatives. Ensure operational excellence across Kubernetes, IaC, CI/CD, observability, networking, identity, compute, and storage at scale.

Lead and grow a backend/infrastructure engineering team building the Experimentation product. Partner with PM and Design to plan and deliver features, collaborate with adjacent teams on shared infrastructure, improve reliability and observability, drive incident response and operational excellence, and participate in hiring and career development for engineers.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Leads engineering teams responsible for Twilio’s Porting, Hosting, and A2P Messaging products. Owns roadmap delivery, architecture collaboration, reliability, incident response, security, AI-assisted development, stakeholder alignment, and operational tooling. Recruits, develops, and retains a high-performing engineering organization while balancing customer commitments, platform needs, and operational investments.