Top Engineering Manager Jobs in Louisville, KY

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Leads the backend platform engineering team responsible for scalable, reliable, secure core systems. Owns platform strategy, roadmap, architecture, operational excellence, reliability metrics, incident response, and engineering quality standards. Manages, hires, and develops backend engineers while partnering with Product, Security, Customer Operations, and other engineering teams. Establishes guardrails for AI-assisted development and drives platform APIs, shared services, and infrastructure supporting company-wide product delivery.

Leads industrial engineering strategy across a multi-site logistics network, managing engineers and major continuous improvement, automation, and systems integration initiatives. Develops business cases, ROI analyses, engineering roadmaps, governance frameworks, and performance metrics. Partners with customers, operations, IT, automation providers, and senior leaders to improve safety, productivity, service, capacity, and standardization across distribution and contract packaging sites.

Lead a 15-person Container Product Engineering team building hardened container images, registry services, build systems, adoption tooling, and compliance features. Own team outcomes, hiring, coaching, roadmap execution, technical quality, delivery, planning, and cross-functional collaboration. Remain hands-on through code and design reviews while guiding AI-native engineering practices. The role partners with product and platform teams and offers a path toward broader Director-level scope.

Leads a team of 10 engineers building and maintaining NIBRS and compliance reporting capabilities for public safety records platforms. Oversees technical quality, validation, certification, delivery, incident follow-through, resource allocation, and team development. Partners with product, R&D, agencies, and regulators to implement federal and state reporting requirements, improve engineering operations, and define the roadmap for new states, report types, automation, and platform capabilities. The role is remote within the United States with travel of up to 25%.

Lead a developer productivity engineering team responsible for CI/CD, build systems, internal tooling, and AI-augmented development workflows. Improve developer experience, engineering velocity, and software quality through scalable infrastructure, productivity metrics, AI tool adoption, coaching, and governance. Partner cross-functionally, mentor engineers, evaluate AI technologies and costs, and establish standards for security, correctness, licensing, and data handling.

Lead and grow an engineering team building core VM and container platform capabilities for Azure. Drive technical strategy, execution, incident resolution, cross-team coordination, and scalable, secure platform innovations.

Leads a software engineering team building backend services, APIs, and product integrations. Responsibilities include people management, technical direction, architecture reviews, delivery planning, vendor coordination, API and integration standards, testing, observability, security, release readiness, and production support. The manager also recruits and develops engineers, manages dependencies and risks, and ensures reliable, maintainable solutions across internal teams, customers, and external technology partners.

Leads and develops a software engineering team building consumer-facing mobile and web experiences. Owns technical strategy, multi-quarter roadmaps, architecture, reliability, performance, incident response, and operational improvements. Partners with Product, Design, Analytics, and engineering teams to deliver large-scale redesigns and cross-functional initiatives while driving alignment, execution, and a high-trust team 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.

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.