Top Engineering Manager Jobs in Jacksonville, FL

The Engineering Manager will lead and grow engineering teams working on core infrastructure, drive hiring, and ensure alignment in delivery between teams across disciplines.

The Technical Engineering Manager leads cross-functional teams to ensure high-quality software delivery, drives technical innovation, mentors engineers, and manages operational efficiency within the banking software sector.

Lead and develop a software engineering team building an AI-powered litigation product. Manage projects, resource allocation, SDLC and compliance (SOC2), mentor engineers, run hiring and interviews, triage incidents, collaborate cross-functionally, and drive continuous improvement.

The Engineering Manager will lead a team to develop scalable software solutions, ensuring technical excellence and driving product innovation. Responsibilities include mentoring, overseeing code quality, and collaborating with cross-functional teams.

Lead technical delivery and integration efforts for a SaaS platform: act as technical SME for APIs, support presales and customer onboarding, triage integration issues, create documentation, and align engineering with sales and operations to scale integrations and improve SLAs.

Lead a software engineering team supporting Unity on an Android-based device ecosystem. Own execution and technical strategy, optimize Unity runtime performance through benchmarking and analysis, collaborate with engine, platform, graphics, product, and external teams, and communicate progress and vision. Manage, mentor, and develop engineering talent while enabling AI-assisted development workflows and platform-specific experiences.

Leads Americas network engineering strategy, modernization, delivery, budget, vendor relationships, and distributed team development. Oversees SD-WAN, SASE, observability, WAN, data center, cloud, and wireless initiatives across North and Latin America. Serves as the senior escalation point for infrastructure issues, drives reliability improvements, aligns regional delivery with global standards, manages staffing and resourcing, and presents technology strategy, budgets, and program status to executive stakeholders.

Leads DevOps and Data Engineering teams supporting AWS infrastructure, CI/CD, observability, incident response, data platforms, and pipelines. Sets platform strategy, mentors engineers, guides architecture, and manages technical roadmaps. Owns SOC 2 audits and penetration testing, coordinates vendors and auditors, improves security and reliability, and coaches teams on validating AI-assisted development. This player-coach role requires hands-on technical contribution and cross-functional collaboration in a remote environment.

Leads software engineering teams delivering enterprise applications and SaaS products. Owns architecture, technical design, product lifecycle, roadmap execution, release quality, security, reliability, and operational readiness. Partners with Product, Architecture, Quality, Cloud, and Support teams, while driving engineering practices, AI-assisted development, process improvements, and customer issue resolution. Builds high-performing teams, coaches managers and engineers, and communicates technical direction, risks, and delivery outcomes to stakeholders.

Lead and grow a team building shared test systems, production-like environments, workload testing capabilities, failure-mode validation, and engineering test frameworks. Drive system-level coverage, cross-team alignment, measurable improvements in pre-production confidence, and integration of validations into continuous or release pipelines. The role requires strong distributed-systems expertise, internal platform delivery experience, organizational influence, and the ability to translate production incidents into preventative test coverage.

Leads a domain of GiveDirectly’s cash delivery platform, managing 5–7 senior engineers while owning technical outcomes, reliability, architecture, delivery, and operational excellence. Partners with product and organizational stakeholders on roadmaps, technical debt, infrastructure, incident response, and engineering culture. Recruits, coaches, and retains a high-performing team; sets technical quality standards; and scales payment, core platform, or offline-first data collection systems to support billions in annual cash delivery.

Lead and grow a Support Engineering team that resolves complex product issues, integrations, and data workflows. Define escalation and triage practices, build scalable diagnostics and internal tools, collaborate closely with Engineering and Product, mentor engineers on debugging, logs, and database querying, and create repeatable processes to improve customer outcomes and support efficiency.

Manages software engineers and integration specialists building, deploying, and operating Fastpath Access Governance services. Owns the technical roadmap, delivery, quality, architecture, and operational health of cloud-native services. Partners with product, UX, and architecture teams in Scrum, drives AI-assisted engineering practices, oversees ERP and business application integrations, and develops a supportive, high-performing engineering culture.

Lead engineering teams to develop AI-powered software for local governments, enhance user-facing features, and drive continuous process improvement.

Leads engineering design authority and integration for a major copper mining project through FEED, construction, and handover. Directs EPCM performance, establishes design standards, manages technical risks, approves key engineering deliverables, and leads constructability, operability, value engineering, process safety, stage-gate, change control, quality, and technical assurance activities. Builds the owner’s engineering team and ensures designs are safe, operable, maintainable, cost-effective, and ready for operations.

Manage and grow the Video Enablement engineering team, own core video pipeline (ingest, transcode, storage, playback), enable third-party device integrations, collaborate on video roadmap, ensure scalable resilient AWS infrastructure, mentor engineers, contribute technically when needed, and support production incidents and cross-team enablement.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

Lead and develop a remote team of Python engineers, ensuring their growth and satisfaction while driving high-quality software delivery.

As the Engineering Manager for Scribe's Platform team, you will lead the backend team, define technical strategy, collaborate on product outcomes, and foster engineering culture while ensuring reliability and compliance.

Lead a hands-on engineering team to improve kernel-centric reliability of large AI compute clusters. Own technical vision, build diagnostic and debug tooling, collaborate with SW and HW teams to reduce downtime, speed failure analysis, and mentor engineers to deliver scalable, reliable production systems.

As a Lead Front-End Engineer, you'll own UI architecture, mentor team members, manage technical initiatives, and drive AI-powered feature development.

The Engineering Manager will lead a team to ship features, collaborate with cross-functional teams, coach engineers, and manage project progress.

Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.

Lead a squad end-to-end to deliver customer value: set direction, drive execution, ensure scalable and secure architectures, stay close to technical work, coach and grow engineers, hire and manage performance, and apply AI-native practices to accelerate delivery.

Manage engineering projects and QA for a small, remote engineering team: track work, run bug pipeline, write and automate tests (Capybara when useful), coordinate engineers with product and internal stakeholders, and report status to leadership while using AI to streamline repetitive testing tasks.