Top Senior Engineering Manager Jobs in Raleigh, NC

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

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 globally distributed IT engineering team building enterprise integrations, workflow automation, orchestration, and AI-native workflows. Set technical direction, establish roadmaps, manage delivery metrics, and partner with business and service operations leaders to eliminate manual work. Guide engineers on architecture, CI/CD, testing, and development practices while evaluating emerging automation and AI tools. Build integrations across identity, ITSM, SaaS, and enterprise systems, and grow team capabilities across US and India time zones.

Lead Apollo’s Rep Experience engineering team building prospecting, account management, task orchestration, dashboards, and AI-driven recommendations. Responsibilities include technical decision-making, architecture, planning, coding mentorship, hiring, people management, on-call sustainability, estimation, process improvement, and cross-functional collaboration with Product, Design, GTM, and engineering leadership.

Leads full-stack and data engineering teams delivering cloud-based healthcare analytics solutions and enterprise web applications. Establishes technical roadmaps, architectures, release plans, and AI-enabled development workflows. Oversees data engineering, testing, cloud deployment, CI/CD, governance, security, and compliance. Provides technical mentorship, supports hiring and skills development, and partners with stakeholders to deliver scalable, secure, ethically designed software products.

Leads a team of 5–10 engineers building real-time market data and analytics infrastructure for trading systems. Owns technical strategy and roadmap, drives delivery, ensures data accuracy, reliability, low latency, and scalability, and partners with Product and engineering teams. Responsibilities include hiring, coaching, developing senior engineers, maintaining engineering standards, and delivering index pricing, market data ingestion and distribution, and funding rate computation systems.

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 the Analog and Mixed Signal Integrated Circuit engineering section across Baltimore and partner sites. Manages 40–100 employees, including group managers and senior technical staff, while providing direct engineering leadership on programs. Responsibilities include staffing, talent development, performance management, engineering process improvement, proposal support, program execution, workload forecasting, and technical leadership. The role requires at least 60% direct program charging and collaboration across engineering and business teams.

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.

Manages the Digital Hardware engineering section of 40–100 employees while providing direct engineering leadership on defense programs. Responsibilities include developing hardware strategies and technology roadmaps, staffing programs, improving engineering processes, supporting proposals and design reviews, leading technical teams, mentoring managers, hiring, forecasting workloads, and conducting performance and compensation reviews. The role requires at least 60% direct program work and focuses on radar, electronic warfare, sensor systems, and related digital hardware.

Leads manufacturing engineering for new power electronics products from development through pilot and early production. Manages engineers and technicians, develops assembly and test processes, coordinates internal and contract manufacturing builds, drives DFM/DFA/DFT, and ensures production readiness, quality, safety, and scalability. Partners with product development, quality, supply chain, operations, customers, and suppliers while tracking manufacturing KPIs and resolving deployment issues.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.

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.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Lead and grow a compiler, kernel, and runtime engineering team responsible for accelerator bring-up across the Modular stack. Drive technical direction, architecture, coding, roadmap delivery, vendor partnerships, SOWs, milestones, cross-team dependencies, hiring, and production-quality model deployment across diverse hardware platforms.

Lead technical vision and system design for the Marketplace team while managing and coaching 3–5 engineers. Build scalable systems serving personalized offers, establish team processes, support onboarding, and improve collaboration across engineering, product, design, and data. The role combines engineering management with hands-on technical leadership in a remote-first startup environment.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

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.

Leads a Managed Services Engineering team delivering cloud, hybrid infrastructure, automation, observability, security, and managed operations services. Owns service delivery, SLAs, operational performance, resource allocation, customer satisfaction, governance, continuous improvement, automation, reliability, and escalation practices for government customer environments. Develops teams, manages service quality and financial performance, and serves as product owner for assigned managed services offerings.

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 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.