Top Engineering Manager Jobs in Charlotte, NC

Leads an enterprise PAM engineering organization responsible for credential vaulting, secrets management, session control, least-privilege enforcement, and privileged identity risk reduction. Oversees modernization, automation, DevSecOps integration, cloud-ready architectures, incident response, compliance, and platform roadmaps across hybrid environments. Manages engineers, resources, and investments while partnering with IAM, cloud, infrastructure, application, and security architecture teams. Develops talent and ensures responsible use of AI-assisted development tools.

Leads a team building device intelligence and reverse-engineering capabilities for xOT cybersecurity products. Sets technical strategy for device and protocol coverage, establishes documentation and testing standards, drives automation and AI-assisted development, collaborates cross-functionally, supports customer deployments and incident response, and remains hands-on with code reviews, design reviews, and production debugging. The role also owns hiring, mentoring, team growth, and engineering community development.

Leads Google Cloud AI and machine learning engineering teams and client workstreams. Oversees generative AI, LLM application, agent orchestration, retrieval-augmented generation, model evaluation, prompt engineering, guardrails, and LLMOps initiatives. Reviews architecture, code quality, testing, and solution delivery using Vertex AI, LangChain, LangGraph, Python, and LLM APIs. Coaches team members, improves reusable delivery assets, and manages client relationships, timelines, quality, and expectations.

Leads GitLab’s Dedicated Infrastructure team, combining technical leadership and people management. Responsibilities include guiding architecture, maintaining high availability and security, automating provisioning and operations, improving self-service platforms, managing incidents, recruiting and developing team members, using AI to improve productivity, and prioritizing work through data and risk analysis. The role requires expertise in distributed services, fleet management, Terraform, AWS, high-availability operations, remote team leadership, and complex project delivery.

Lead a team of software engineers building and scaling Spark’s broker productivity platform. Responsibilities include architecting full-stack solutions, guiding technical direction, reviewing code, managing infrastructure priorities, coordinating product planning, sequencing projects, coaching engineers, hiring, and ensuring reliable, high-quality delivery. The role balances hands-on engineering with people management and is fully remote within the United States.

Leads electrical engineering and virtual design teams through construction project preconstruction. Oversees electrical design coordination, code compliance, technical calculations, BIM documentation, schedules, budgets, training, and client collaboration. Reviews contracts and project specifications, develops installation and coordination drawings, supports value engineering, and ensures financial, quality, and performance standards across large nationwide projects.

Leads distributed software engineering teams supporting payments and fraud services. Oversees Java and Spring Boot development, application architecture, resiliency, availability, incident response, APIs, cloud platforms, security, technical debt, vendor performance, and end-to-end delivery. The role remains hands-on through code reviews, design reviews, proof-of-concept development, pair programming, and complex issue resolution while developing engineering talent and adopting responsible AI practices.

Lead Headway’s Infrastructure team, owning AWS cloud infrastructure, deployment pipelines, LLM platform capabilities, databases, observability, reliability, and incident response. Hire and develop engineers, establish self-service platform practices, reduce incident blast radius, define production readiness for AI workloads, and partner with Security and product engineering teams. The role combines technical leadership, people management, platform strategy, design reviews, and hands-on incident response.

Manage the Loans Lifecycle software engineering team at Affirm. Set technical strategy, lead delivery of business-critical projects, ensure system reliability and operational readiness, establish quality standards, collaborate with product and analytics teams, and coach engineers. The role focuses on highly available distributed financial systems and audit-grade ledger technology using backend technologies including Python, Kotlin, AWS, MySQL, Spark, and Kubernetes.

Leads a high-performing software engineering team responsible for customer activation, engagement, and expansion across a travel marketplace. Oversees end-to-end project delivery, promotes AI-driven engineering practices, improves agile processes, and partners with product, data, and design. Drives experimentation, scalability, security, technical excellence, and customer-focused product adoption while developing team talent and aligning engineering priorities with business goals.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead and manage end-to-end software engineering programs, coaching teams and coordinating cross-functional stakeholders. Oversee planning, budgeting, execution, and delivery of enterprise applications (including low-code platforms). Drive quality through ATDD, CI/CD, code review and architecture best practices (microservices/API management). Mentor staff, resolve technical and stakeholder conflicts, apply emerging AI technologies, and improve processes to meet engagement objectives and client expectations.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

Manages Customer Success Engineering for GitLab, an intelligent DevSecOps orchestration platform. The provided description contains no specific responsibilities or qualifications, but indicates a remote role supporting GitLab’s customer success and technical product environment. GitLab emphasizes AI-enabled workflows, collaboration, professional development, and employee benefits.

Lead Headway’s Web Platform team of five frontend engineers. Own frontend strategy, design systems, web architecture, accessibility, performance, testing, and agentic UI workflows. Hire and develop engineers, manage performance, align with Design and product teams, define roadmaps and metrics, and advocate for frontend standards company-wide. Remain hands-on with code and AI tools while evolving shared frameworks, tooling, documentation, and automated quality checks.

Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.

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 Motorsports Data Infrastructure and Data Science teams while owning the strategy, architecture, and delivery of data platforms supporting telemetry, simulation, trackside, analytics, and AI/ML use cases. Responsibilities include managing managers, designing streaming and batch pipelines, productionizing ML models, setting engineering standards, managing Azure and Databricks capacity, protecting sensitive data, and partnering with racing and executive stakeholders. The role remains hands-on in architecture, coding, code review, incident support, and technical problem-solving.

Leads the Body Main Systems team responsible for Body in White, frame, and closures development from concept through launch. Directs SET leaders and cross-functional partners across engineering, design, manufacturing, purchasing, finance, quality, and logistics. Owns technical integration, specifications, sourcing documentation, timing, issue resolution, cost, quality, weight, and milestone delivery. Requires strong automotive body engineering expertise, team leadership, and experience managing complex cross-functional programs.

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.

Leads and develops a software engineering team responsible for high-availability trading platform systems. Oversees hiring, coaching, team operations, delivery, reliability, incident response, on-call health, observability, and technical investment. Partners with Product, Engineering, infrastructure, and operations teams to guide architecture, manage trade-offs, and deliver resilient backend and distributed systems. The role requires strong people leadership, production operations experience, and technical credibility with .NET/C#, AWS, containers, and orchestration.

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.

Leads engineering teams delivering scalable AI and machine learning solutions on Google Cloud. Oversees generative AI architecture, Vertex AI, LangChain, LangGraph, LLM APIs, RAG, experimentation, evaluation, guardrails, and LLMOps. Guides technical strategy, client alignment, delivery execution, and team development while applying Python, data science, and machine learning methods to build reliable AI products.

Leads a team of solution engineers advising customers on cloud and AI adoption. Oversees solution architecture, technical strategy, demonstrations, proofs of concept, deal shaping, capacity planning, and customer engagements. Coaches technical experts, coordinates cross-workload specialists, supports strategic opportunities, and influences Microsoft cloud and AI strategies, partner models, and technical communities.

Leads and develops an Applications Engineering team responsible for accurate, competitive, and timely technical solutions. Oversees product selection, sizing, configuration, quotations, customer specifications, technical proposals, and application support. Partners with Sales, Engineering, Manufacturing, Supply Chain, Quality, and Operations to manage risks and ensure executable solutions. Establishes standards, monitors performance, improves processes, supports new product development, develops training, and contributes to budgeting, continuous improvement, and customer satisfaction.