Top Engineering Manager Jobs in Philadelphia, PA

Lead and grow an engineering team that designs, builds, and operates hyperscale distributed systems and cloud-native platform services for Azure. Drive technical strategy, architecture, cross-team initiatives, operational excellence, and stakeholder collaboration to deliver scalable, reliable, secure, and observable infrastructure solutions.

Lead and grow a software engineering team to design, build, and operate high-performance, scalable, observable networking systems for Azure AI/HPC infrastructure. Drive architecture, reliability, testing, automation, and cross-team collaboration to support large-scale distributed training and inference workloads.

Lead and grow two Merchants engineering teams (Core and Growth). Own technical direction, architecture (billing, checkout, delivery promise), hiring, roadmap, sprint health, and cross-functional partnerships to deliver reliable merchant-facing product features.

Lead and mentor engineering teams in developing a SaaS solution for dental practice management, focusing on system architecture, code quality, and integrating AI tools.

The Engineering Manager will lead a team of engineers to develop and maintain software solutions, collaborate with various teams, and implement CI/CD practices. They will also mentor engineers and influence organizational technology strategies.

Lead and mentor the Activations engineering team to deliver integrations and workflows that get new banking clients to production. Balance hands-on coding, system design, code reviews, and product partnership while ensuring reliability, scalability, and high-quality backend services and APIs.

Lead and grow an engineering team building SELECT, a cloud cost management platform. Drive technical strategy, architecture, development practices, reliability, and cross-functional execution. Mentor engineers, manage performance and hiring, and improve delivery processes to scale the product and organization.

Lead and manage a team developing the Aerospike Cloud Platform, focusing on architecture, execution, and fostering a high-performance engineering culture.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a cross-functional agile engineering team while remaining hands-on in architecture and coding. Mentor engineers, coordinate with Product and QA, improve delivery practices, CI/CD, operational reliability, and cloud-based systems, and drive modernization and engineering standards.

Lead and grow a software engineering team to design, build, and operate large-scale distributed cloud services that automate infrastructure maintenance, improve reliability, and support GPU-based AI platforms. Drive technical vision, partner across engineering and operations, modernize platforms, and use data-driven decisions to improve availability, performance, and operational efficiency at global scale.

Lead and mentor a team of full‑stack/backend engineers building integrations, identity verification, SSO, account opening, funding/ACH pipelines, and a public API platform. Drive architecture and delivery, champion quality and reliability, partner with Product and Implementation on roadmap and escalations, and remain hands‑on to guide technical decisions and ship production software.

Lead and coach Quality Engineers and SDETs across product teams to implement risk-based exploratory testing and automation, align quality activities with delivery goals, partner on automation architecture and observability, manage workflows and incident response, report on risk and coverage, and mentor technical and strategic skills while promoting responsible AI-assisted testing practices.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Lead a ~10-engineer team to build and modernize cloud-native SaaS for marinas. Stay hands-on with Node.js/React/TypeScript code, drive architecture and migrations, enforce testing/observability/CI-CD, run incident response, recruit and coach engineers, and implement AI-assisted development practices aligned to product goals.

Lead and grow a ~10-engineer team building and modernizing cloud-native SaaS for RV and camping operators. Drive architecture, CI/CD, reliability, AI-assisted engineering practices, migrations from legacy to service-oriented systems, incident response, and measurable engineering KPIs while remaining technically hands-on.

Lead creation of a Site Reliability (SRE) function: hire a 4–6 person team, implement incident management and on-call programs, define SLOs/SLA and runbooks, select incident tooling, and drive observability and reliability initiatives. Balance incident response with a roadmap of reliability work, mentor and retain engineers, run blameless retrospectives and design/code review practices, and collaborate with product and engineering leaders to improve operational excellence.

Lead and grow a systems engineering team owning identity, device, and ITSM platforms. Deliver joiner/mover/leaver automation in Okta Workflows, device assurance for macOS/Windows, rationalize ITSM, govern SaaS procurement and the AI tooling stack, and partner with Security, GRC, Finance, and Engineering to enable safe self-service.

Lead a globally distributed QA team to define QA strategy, governance, and audit-ready processes for regulated banking clients. Drive test automation, CI/release gating, regression coverage, incident response, and partner with Professional Services for UAT and integration validation while reporting quality KPIs.

Lead and grow a software engineering team building Hatch and Unity platforms. Partner with product and business stakeholders to deliver high-quality web features on schedule, guide architecture and technical decisions, refine development and AI-assisted workflows, hire and mentor engineers, conduct code reviews, and remove blockers so the team can ship reliably.

Lead and mentor a team building Twilio's next-generation low-latency, high-throughput media processing stack. Drive architecture and technical decisions, balance reliability with feature delivery, own performance and reliability targets, collaborate across product and platform teams, reduce technical debt, and establish engineering excellence in testing, code quality, and operations for global real-time media services.

Lead and hands-on manage the Catalog engineering team, own sprint delivery and architecture, write and ship full‑stack production code using AI-assisted tooling, hire and grow engineers, and drive collaboration with product and design while shaping an AI-driven SDLC.

Lead and contribute to firmware development for safety-critical embedded products. Split time between hands-on C/C++ RTOS and Embedded Linux work, hardware bring-up and debugging, maintaining CI/CD and HIL tests, and managing the firmware team's delivery, quality, planning, hiring, and cross-team integration.

Lead and grow a Data Engineering organization to design, build, and operate scalable, governed data pipelines and enterprise data products. Define technical strategy and roadmap, improve data quality, reliability, observability and governance, partner with cross-functional teams, and drive platform evolution to enable analytics, ML, reporting, and self-service insights.

Lead engineering managers and senior engineers for Authentication services, owning roadmap, reliability, scalability, and operational excellence for cloud-native, low-latency API-based systems. Improve architecture, observability, CI/CD, incident response, and cross-team execution while partnering with Product, Research, Security, and Platform to operationalize AI/ML trust signals.