3 results for Rpa Engineer in Providence, RI

Lead MSP Engineer

Boston, MA
onsite
Permanent
160000 - 180000 USD / Yearly
Senior / Lead MSP EngineerBoston, MA (Hybrid) - onsite at client sites when necessary or WFH when onsite is not neededFull-Time | Managed Services Provider Are you a senior-level cloud & security engineer looking to take the lead in a fast‑moving MSP environment? We’re seeking a Senior / Lead MSP Engineer to own high‑impact cloud initiatives, guide technical strategy, and serve as the top‑level escalation point for our engineering team. This is a hands-on role focused on Microsoft cloud, modern security, and advanced infrastructure, with junior and mid-level engineers handling day-to-day tickets. What You’ll DoLead Cloud Engineering & Architecture<ul><li>Architect, deploy, and support solutions across Microsoft 365, Azure, and Azure AD (Entra ID)</li><li>Lead cloud migrations, modernization projects, identity/security enhancements</li><li>Optimize Azure resources including networking, compute, storage, and governance</li><li>Support and improve environments across Microsoft Public Cloud and AWS</li></ul>Security Engineering<ul><li>Configure and manage Intune, Defender, Sentinel, conditional access, MFA, and Zero Trust policies</li><li>Execute security assessments and implement best‑practice improvements</li><li>Develop secure configurations for identity, endpoint, and cloud environments</li></ul>Senior-Level Escalation & Leadership<ul><li>Serve as the highest-tier escalation for cloud, security, and infrastructure issues</li><li>Mentor junior and mid-level engineers; provide technical guidance and oversight</li><li>Participate in client strategy, technical roadmapping, and project scoping</li><li>Help refine and enhance internal processes, automation, and service delivery</li></ul>Advanced Infrastructure Support<ul><li>Oversee higher-level work in Windows Server, virtualization (VMware/Hyper‑V), and networking</li><li>Support firewall technologies (Fortinet, Meraki, Palo Alto, etc.) and modern network design</li><li>Ensure documentation, monitoring, and operational excellence across environments</li></ul>
2026-03-11T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent
120000 - 140000 USD / Yearly
M365 Implementation EngineerLocation: RemoteDepartment: Professional ServicesType: Full-Time About the RoleWe are seeking an experienced M365 Implementation Engineer to join our Professional Services team. This position combines hands-on engineering work with frequent client interaction. You will design, deploy, and optimize Microsoft 365 solutions while collaborating directly with customers through daily video calls, workshops, and project updates.This role is ideal for someone who enjoys both the technical side of M365 and the client-facing aspects of consulting. What You’ll Do<ul><li>Lead the deployment, configuration, and migration of Microsoft 365 services in client environments.</li><li>Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem.</li><li>Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance.</li><li>Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes.</li><li>Implement best practices around identity, governance, compliance, and security within the M365 tenant.</li><li>Troubleshoot escalated issues and support clients throughout project delivery.</li><li>Work closely with project managers and stakeholders to translate requirements into effective technical solutions.</li></ul>
2026-03-10T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent
180000 - 200000 USD / Yearly
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering. Responsibilities: • Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards. • Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving. • Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn. • Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools. • Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment. • Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems. • Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models. • Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor. • Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives. • Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
2026-03-10T00:00:00Z