Top Senior Engineering Manager Jobs in Providence, RI

The Engineering Manager for IAM will lead a team developing secure identity and access management services using Go and Python, focusing on distributed systems.

Lead a team in developing Ceph-focused storage solutions, manage global engineers, foster quality and coaching culture, and facilitate technical delivery.

The Linux Engineering Manager leads a team optimizing Ubuntu for the latest hardware, engages with partners, manages projects, and develops a high-performing team.

Lead a team of Field engineers to solve customer problems with embedded Linux solutions. Coach and mentor team members while managing client engagements.

As an Engineering Manager, you will lead a team to optimize engineering and operations processes, ensuring quality managed services while collaborating with customers and stakeholders.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Lead and manage a team of engineers focusing on optimizing Ubuntu for public cloud performance. Ensure quality delivery and foster growth among team members.

Manage engineering teams and operations for the BootStack service, ensuring quality and timely delivery of managed services while collaborating with stakeholders and optimizing team performance.

As an Engineering Manager, you'll lead a remote team, manage MLOps projects, ensure high performance, and mentor engineers while driving product strategies.

Lead and mentor a team of engineers to enhance AppArmor security features, ensuring high quality results and collaboration with stakeholders.

The Senior Manager will lead the Network Security Engineering & Operations team, ensuring network infrastructure reliability, security, and operational support while driving strategic initiatives and mentoring staff.

Responsible for setting technical strategy, collaborating across teams, ensuring operational stability, fostering quality culture, and developing team talent in a remote fintech environment.

Lead a team of engineers to develop client applications, ensuring high-quality outcomes and mentoring team members in a scalable and secure environment.

Lead and support the engineering team in designing, implementing, and maintaining backend services and infrastructure while also contributing to coding and technical decisions.

Manage a team of senior engineers, oversee software delivery quality, lead product development using advanced technology, and collaborate with stakeholders.

Lead the Infrastructure team to enhance reliability, security, and scalability of systems, while collaborating cross-functionally and participating in hands-on technical tasks.

Manage and mentor engineers, contribute to product and infrastructure, drive projects, and collaborate cross-functionally to enhance AI platforms.

As an Engineering Manager, you'll lead a small team, contribute hands-on, scale backend systems, and ensure sound technical decisions while mentoring engineers and enhancing team processes.

As Engineering Manager, lead the Data Science Team in delivering impactful solutions through data analysis and machine learning, fostering collaboration, and mentoring team members.

Lead and mentor the core development team, drive technical strategy, manage performance, and ensure technical solutions align with business goals.

Looking for a Principal Functional Back End Engineer with expertise in Haskell and Nix to lead product development and provide strategic consulting.

Lead and develop a team of SRE engineers, overseeing platform tooling, infrastructure, deployment automation, and operational excellence for product teams.

As the founding ML Engineering Manager, you'll develop and execute ML strategies, lead engineers, prototype LLM-powered features, and enhance engineering practices within a diverse team.

The Engineering Manager - Data & ML will redesign and scale Underdog's data and ML platform, establishing best practices, leading a team, and collaborating with cross-functional teams to optimize data systems.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.