Top Senior Engineering Manager Jobs in Providence, RI

Manage a team of engineers building Docker's runtime for AI workloads, oversee technical direction, and ensure operational excellence in cross-platform environments.

Lead a team responsible for payments and finance development, focusing on API integrations, security compliance, and team productivity improvements.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

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

Lead and manage a team building airgap-native, UDS-compatible cloud-native software. Own delivery of scalable, highly available products, collaborate with Product and Delivery, mentor engineers, improve architecture and processes, and drive secure CI/CD and infrastructure automation.

Oversee a team of engineers while managing the technical strategy for web-based applications in a regulated medical device environment.

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.

The Senior Engineering Manager leads the Data Platform team, overseeing data engineers, managing data pipelines, and driving Root's data strategy across business functions.

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 the software and infrastructure teams for a UCaaS platform, driving delivery and operational excellence while coaching engineers and managing projects.

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

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 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 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 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 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 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 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 QA & Standards for an enterprise SaaS platform, owning manual QA, automation, and performance testing. Set org-wide test standards, define release quality gates, drive AI-first QA adoption, grow performance engineering, manage distributed teams, and partner with engineering leadership on automation strategy and quality transformation.

Lead and grow a compute engineering team building large-scale, multi-tenant compute platforms for AI workloads. Drive strategy, roadmap, architecture, operations, capacity planning, and reliability. Own on-call, incident response, and cost/utilization tradeoffs while partnering across product, security, and customers to deliver a predictable, efficient, and secure compute substrate.

Lead the Demo Engineering team, developing AI-powered demo environments and infrastructure while establishing standards and best practices to enhance customer engagement and operational excellence.