Top Remote Engineering Manager Jobs in Madison, WI

Leads Samsara’s globally distributed Core Infrastructure team, combining people leadership with technical strategy across compute, networking, storage, cloud systems, reliability, and efficiency. The manager will develop engineers, establish ownership, improve operational health, lead modernization and disaster-recovery initiatives, build automation and self-service infrastructure, and coordinate with engineering and security leaders. The role requires 8+ years of software engineering experience, including at least two years managing software or infrastructure engineers.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Leads a managed services engineering team supporting mainframe environments. Oversees customer satisfaction, service-level agreement delivery, staffing, resource allocation, operational processes, continuous improvement, budgets, vendor relationships, and technical service optimization. Serves as product owner for assigned services, manages performance and development, coordinates strategic technology planning, and supports customer reviews and escalations. Requires mainframe expertise, consulting leadership, ITIL knowledge, process improvement skills, and the ability to manage complex customer and business priorities.

Leads people management, workforce planning, capability development, hiring, and delivery sustainability for a software engineering team building Revit add-ins, Blazor applications, integrations, installers, deployment services, and licensing tools. The role bridges software engineering with AEC and Revit workflows, supports productization and user readiness, develops technical leadership, and improves management systems for distributed teams.

Leads a remote engineering team building scalable Python and Golang microservices for Canonical’s software distribution marketplaces. Responsibilities include mentoring and developing engineers, managing delivery and expectations, shaping technical strategy and roadmaps, reviewing code, guiding architecture, maintaining engineering quality, and collaborating with product managers, architects, other teams, open-source contributors, and commercial partners.

Manage and mentor a backend engineering team while remaining hands-on with technical design and problem solving. Set backend architecture, service strategy, roadmaps, and engineering standards for scalable, secure systems. Partner with product, data, infrastructure, and frontend teams to deliver reliable customer-facing software, deploy models, improve platform tooling, and support incident response. Recruit engineers, guide team development, and foster ownership and continuous improvement.

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 the engineering team responsible for Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer deployments, and enterprise support. Partner across engineering, sales, field engineering, and support; prioritize roadmap tradeoffs; maintain operational health; and grow the team through hiring and onboarding. The role requires technical leadership across Kubernetes and AWS, customer-facing collaboration, production on-call experience, and software delivery in private cloud, on-premises, BYOC, or managed single-tenant environments.

Leads a hands-on product engineering team, owning hiring, development, delivery, architecture, code quality, reliability, and operational health. Partners with product and design to prioritize customer-focused work, manages milestones and dependencies, and contributes directly through code reviews, debugging, prototypes, and production fixes. Builds AI-native engineering workflows using agentic tools while maintaining security, correctness, human review, and strong engineering standards.

Leads an engineering team developing, maintaining, testing, and optimizing custom Linux kernel infrastructure at planetary scale. Responsibilities include feature development, performance tuning, vulnerability management, hardware support, low-level debugging, reliability and security strategy, mentoring, quality standards, and collaboration with technical teams and open-source communities. The role also requires hands-on technical contributions when needed.

Engineering Manager responsible for the health, delivery, people management, onboarding, staffing, and continuous improvement of a 6–8 person engineering pod. The role partners with Product and Technical Leads, manages execution and technical risk, supports hiring and growth, addresses performance issues, and maintains enough technical depth to evaluate software plans. The manager will work in an AI-native, remote-first environment building mortgage automation software.

Lead the technical vision, architecture, and development of Cadence’s AI-powered Clinical Intelligence platform. Build reliable clinical decision-support and medication recommendation systems using patient data, clinical protocols, safety rules, and clinician oversight. Hire, mentor, and grow AI, backend, and full-stack engineers while establishing engineering standards, testing, observability, validation, and regulatory-readiness practices. Partner with clinical, product, design, and AI stakeholders to deliver safe, scalable production systems.

Leads and manages an 8–10-person storage engineering team responsible for MongoDB’s transactional read/write path, durability, availability, performance, indexing, and storage architecture. Owns the roadmap, customer escalations, cross-team initiatives, engineering quality, hiring, coaching, and execution. Partners with Replication, Query, Sharding, Atlas, and other teams on distributed systems and workload-management improvements.

Lead engineering ownership of an acquired consumer VPN product from due diligence through integration, stabilization, and growth. Manage and coach engineers while remaining hands-on with Kotlin, Swift, Go, architecture, operations, security, and production incidents. Establish testing, CI/CD, infrastructure, documentation, and compliance practices; partner with product, corporate development, marketing, and operations; and create a repeatable engineering playbook for future acquisitions.

Lead a backend engineering team responsible for Benepass Core Services, including ledger, decisioning, authentication, integrations, and money movement systems. Manage and develop 4–6 engineers, oversee hiring and performance, guide project execution, and maintain delivery accountability. Provide technical leadership through design reviews, prototyping, debugging, and operational incident management. Partner cross-functionally, uphold reliability and correctness standards, and model effective daily use of AI in engineering and management workflows.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.

Lead and coach a team of 4–8 engineers while providing technical direction, architectural oversight, and hands-on coding support. Partner with Product and Design on roadmaps, technical strategy, and delivery improvements. Promote software quality, reliability, and stability; lead incident response and post-mortems; and collaborate with engineering managers and stakeholders to reduce dependencies and support customer success.

Lead and grow a team of engineers building account and transaction history infrastructure. Drive re-architecture for scale, own internal developer tools and dashboards, shape distributed systems and streaming pipeline architecture, coordinate roadmaps with product and finance, and own hiring, SLA accountability, incident response, and on-call practices.

Lead an engineering organization building secure enterprise container and Kubernetes platforms. Define technical strategy, improve platform resilience and operational excellence, embed security throughout the SDLC, balance feature delivery with stability, hire and develop engineering talent, and collaborate with product leaders, executives, and enterprise customers.

Manages and grows a software engineering team while remaining hands-on in architecture, development, integration, and troubleshooting. Leads cloud-native AWS services, microservices, APIs, Python backend systems, frontend components, secure access controls, CI/CD, and production support for satellite communications ground systems. Collaborates with systems engineering, MBSE, cybersecurity, testing, DevSecOps, and government stakeholders to deliver secure, scalable, traceable, and reliable mission software.

Leads software engineering teams, develops technical and people leaders, modernizes legacy customer-facing applications, and advances engineering practices. Partners with product, architecture, quality, DevOps, delivery, and business stakeholders to improve reliability, security, customer experience, adoption, and delivery speed. Drives CI/CD, automation, observability, resilience, cloud-native practices, and responsible adoption of AI-assisted software development while managing priorities, risks, dependencies, capacity, and organizational change.

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.

Manage and grow a Cloud Operations Engineering team to ensure fleet reliability and customer environment health across Azure, AWS, and GCP. Own operational outcomes (SLOs, error budgets, incidents), on-call rotations, audit/compliance contributions (FedRAMP, SOC2), cloud cost management, and cross-team coordination while partnering with architects and security. Hire, develop, and report on team performance and risk to engineering leadership.

Lead a global network engineering team to design, scale, and operate large-scale IP and optical backbone and hybrid cloud connectivity. Own technical roadmap, cloud connectivity strategy, automation, vendor relationships, hardware/software integration, testing, tooling, DDoS mitigation, operational excellence, and participate in 24x7 on-call rotations while ensuring compliance in regulated environments.

Leads a network engineering team responsible for resilient office, data center, and cloud infrastructure supporting critical investment and business applications. Owns network architecture, modernization roadmaps, automation, observability, incident response, change management, vendor relationships, and operational risk reduction. Provides technical direction, stakeholder communication, mentoring, prioritization, and performance management while ensuring secure, highly available, low-latency network services.