Top Senior Engineering Manager Jobs in Milwaukee, WI

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Lead a small team (2-4) as a hands-on engineering manager, owning sprint delivery, team health, performance management, and incident response. Contribute to a TypeScript codebase, partner with Product and Design, uphold operational and compliance standards for money-touching products, and champion AI-forward automation, IaC, CI/CD, and observability to ship reliable software.

Lead and develop an SRE team responsible for the reliability, availability, performance, automation, and observability of Linux-based digital commerce infrastructure. Set SRE and DevOps strategy, modernize Kubernetes and CI/CD practices, establish automation and infrastructure-as-code standards, oversee incident response, and drive SLIs, SLOs, and error budgets. Partner across engineering, architecture, infrastructure, security, networking, and product teams while recruiting, mentoring, and developing SRE talent.

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Leads and scales the MSP/MSSP engineering team responsible for multi-tenant SaaS platform capabilities, including account hierarchies, tenant isolation, delegated administration, dashboards, licensing, and white-labeling. Oversees architecture, engineering quality, roadmap execution, partner support, hiring, mentoring, and team development. Collaborates with Product, Partnerships, Customer Success, Sales, Finance, and engineering leadership while balancing strategic delivery with operational needs.

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.

Manage a controls engineering team responsible for project execution in material handling and logistics automation. Oversee project performance, budgets, forecasting, staffing, quality, schedules, risk management, customer engagement, and cross-functional alignment. Recruit, coach, mentor, and develop team members while driving continuous improvement, Lean initiatives, safety compliance, engineering standards, and strategic goals. Participate in technical presales reviews and maintain relationships across offices, departments, and customer organizations.

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.

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.

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 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.

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 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.

Lead a team of Technical Solutions Engineers to triage, diagnose, and resolve production issues across Bestow's platform. Own support queue, incident command, SLAs, runbooks, automation, observability, and partner escalation while contributing ~20% production-level code and converting recurring issues into funded roadmap work.

Leads backend engineering teams responsible for policy, billing, and financial ledger platforms. Provides technical architecture guidance, coaches engineers, manages performance, and drives scalable, secure, high-performing systems. Partners with Product and Program Management on delivery, improves engineering processes, oversees sprint and roadmap planning, models capacity, manages resources, and aligns technical execution with business goals.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.