Top Remote Engineering Manager Jobs in Raleigh, NC

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Lead a hands-on engineering team building and shipping features for a modern trucking transportation management system. Partner with Product and Design to shape roadmaps, contribute to Ruby on Rails and React development, mentor engineers, maintain engineering quality, understand customer workflows, and deliver improvements quickly in a fully remote environment.

Leads cloud operations engineering teams supporting secure FedRAMP services. Oversees hybrid cloud and data center infrastructure, incident response, reliability, automation, infrastructure as code, deployments, and operational workflows. Partners with platform, security, compliance, and application teams to maintain availability and regulatory alignment. Mentors engineers, manages performance, establishes incident communications, and improves operational readiness, monitoring, runbooks, on-call processes, and continuous improvement practices.

Lead and grow a full-stack engineering team building Mural’s AI-native Compose product. Own end-to-end delivery, architecture, code quality, reliability, experimentation, and roadmap execution in partnership with Product and Design. Hire, coach, and manage engineers while maintaining a hands-on technical role through code reviews and architecture decisions. Guide production LLM feature development, including evaluation, quality monitoring, and cost management, within a remote-first culture.

Leads software engineering teams developing the Health100 consumer health platform. Responsibilities include architectural leadership for distributed systems, APIs, and AI-enabled capabilities; recruiting and mentoring engineers; managing initiatives through delivery and production operations; establishing performance, risk, and governance practices; and partnering across product, design, security, analytics, and business teams. The role emphasizes Java, cloud-native development, microservices, Generative AI, intelligent automation, and scalable platform solutions.

Lead and develop the SRE team responsible for reliable, secure deployments across on-premises DoD and AWS environments. Own capacity planning, prioritization, reliability roadmaps, operational readiness, incident response, observability, and toil reduction. Coordinate delivery across engineering, security, and customer success teams while guiding infrastructure, automation, Kubernetes, CI/CD, networking, and application reliability decisions. Manage team performance, hiring, career development, on-call practices, postmortems, and stakeholder communication.

Lead a senior engineering team building Fingerprint’s Automation Intelligence product from beta through commercial launch. Own product readiness, service reliability, detection accuracy, testing, rollout quality, API contracts, observability, team growth, and AI-native engineering practices. Partner with product, research, and customer-facing teams while establishing autonomous ownership, quality metrics, and contract-first APIs for detecting and classifying bots, AI agents, and other automation.

Lead the Methods and Insights engineering teams, overseeing hiring, coaching, performance management, delivery, operational health, architecture, and developer experience. Partner with product leaders and founders to sequence work, manage risk, improve engineering processes, and ship reliable systems. Build AI-agent development practices, shared components, CI gates, conventions, and harnesses that help engineers move quickly while maintaining quality.

Leads a global Site Reliability Engineering team responsible for reliability, scalability, security, and operational excellence across Azure-based SaaS platforms. Establishes SRE standards, develops team capabilities, improves automation and observability, leads incident and disaster recovery efforts, and partners cross-functionally on platform resilience, governance, capacity, and cloud optimization. Requires strong technical leadership, experience with large-scale SaaS environments, and expertise in reliability engineering, DevOps, infrastructure, and operational maturity.

Leads software engineering delivery for a healthcare plan sponsor domain, overseeing 2–3 Scrum teams, technical roadmaps, architecture, risk management, production issues, dependencies, and monthly deployments. Manages direct reports, partners with product and business stakeholders, drives modernization and AI adoption, and ensures secure, high-quality delivery using cloud, DevSecOps, and modern application technologies.

Lead and mentor a product engineering team while remaining hands-on with coding, code reviews, architecture, and technical direction. Partner with product and cross-functional teams to deliver the roadmap, improve engineering quality, and build a culture of ownership. Requires strong software engineering experience, people leadership, React, TypeScript, Python, startup experience, customer-facing product experience, and regular coding. The role is remote in the US or Canada with occasional customer visits.

Leads and develops an electrical engineering team while remaining hands-on with switchgear, switchboard, and power distribution design. Reviews drawing packages and BOMs, assigns project ownership, manages delivery commitments, provides technical direction, supports customer and Sales communication, and ensures compliance with electrical standards. The role also contributes to design standards, manages capacity and technical risks, and collaborates with Project Management, Production, Procurement, Quality, Sales, and Test teams.

Leads and mentors software engineering teams while remaining 20–30% hands-on with coding, debugging, APIs, architecture, and scalable platform services. Coordinates engineering, product, quality, SRE, security, and operations teams to deliver reliable SaaS software. Owns technical direction, roadmap influence, incident management, operational excellence, KPIs, resource allocation, hiring, performance management, and continuous improvement across globally distributed teams.

Engineering Manager leading multiple software development teams and owning people management, staffing, project delivery, timelines, dependencies, risk mitigation, deployment readiness, and process improvement. The role partners closely with Product Management and Tech Leads to define scope, manage tradeoffs, ensure delivery commitments, develop engineering talent, and maintain engineering quality and predictability. This is a remote, nationwide position requiring 8–10% travel.

Leads architectural decisions, web roadmap delivery, and API acquisition efforts. Partners with leadership on engineering roadmaps and technical feasibility, mentors engineers, promotes best practices, and guides scalable application development and project planning. The role requires engineering team management, Ruby on Rails experience, cloud application development, strong communication, and effective mentorship.

Leads a managed services engineering team responsible for AIX, Unix, and Linux service delivery. Oversees customer satisfaction, SLA performance, staffing, workload allocation, process improvement, operational procedures, budgets, vendor relationships, and technical service optimization. Manages customer reviews, support escalations, performance management, hiring, on-call schedules, and continuous service improvement while coordinating strategic and tactical technology plans across internal teams and partners.

Leads engineering enablement for large-scale AI/HPC clusters, managing a support team, training and documentation, request intake and prioritization, specialist debugging coordination, and user community development. Partners across architecture, software, firmware, networking, storage, datacenter operations, performance, and program teams. Uses service metrics and user feedback to improve workflows, self-service guidance, resource allocation, and support quality.

Leads engineering teams developing platform software for GPU-accelerated applications using Kubernetes, container runtimes, Kata Containers, and Confidential Containers. Responsibilities include enabling GPUs as Kubernetes resources, integrating software across NVIDIA’s technology stack, managing priorities, and delivering secure, reliable distributed systems. The role requires deep systems software expertise, engineering management experience, and hands-on knowledge of containers, Linux, cloud computing, virtualization, and confidential computing technologies.

Leads a 2–4 person engineering team while remaining hands-on in a TypeScript codebase. Owns delivery planning, performance management, career development, technical contributions, incident response, team health, quality, and compliance. Partners with Product, Design, and engineering teams to translate strategy into reliable software, manage risks and dependencies, remove blockers, and improve productivity through AI-enabled engineering practices.

Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.

Leads the Customer Studio engineering team across product development, technical roadmap execution, reliability, recruiting, delivery pace, and people development. The role combines hands-on technical leadership with people management while addressing data warehouse performance, analytics and experimentation, real-time audience syncing, and generative AI initiatives.

Lead engineering for Hightouch’s Agentic Marketing Platform, overseeing product development, technical execution, recruiting, reliability, and people management. The role focuses on AI-powered content generation, customer context management, campaign insights, and orchestration across advertising and lifecycle platforms. The manager will guide roadmap execution, improve team delivery speed, maintain high technical standards, strengthen incident management, and develop team members in a rapidly scaling environment.

Leads Kent’s Process Safety Engineering team, serving as a technical subject matter expert across onshore and offshore oil and gas projects. Responsibilities include managing engineers, overseeing quality and regulatory compliance, guiding risk assessments and consequence analyses, developing proposals and budgets, supporting business development, mentoring staff, recruiting, and coordinating multidisciplinary engineering work. The role requires client engagement, commercial awareness, professional engineering licensure, and expertise in process safety methodologies, industry standards, and specialized software.

Lead and grow an engineering team building scalable AI-native insurance products. Responsibilities include hiring, mentoring, performance management, technical direction, architecture guidance, design reviews, and delivery of reliable production systems. Partner with Product, Design, Data Science, and customer-facing teams to execute ambiguous initiatives. Use AI-native development workflows to increase velocity while maintaining high standards for security, correctness, reliability, and production readiness.

Leads GDIT’s digital engineering strategy, delivery, and growth across data platforms, cloud, applications, automation, and AI-enabled systems. Oversees engineering teams, architecture standards, DevSecOps practices, capability development, delivery governance, technical escalations, and talent development. Serves as a technical solution lead for customer engagements, captures, proposals, and enterprise-scale architectures while building reusable technical assets and evaluating emerging technologies.