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5 results for Hardware Engineer in Cambridge, MA

Systems Engineer

Nashua, NH
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Systems Engineer to support a Contract engagement focused on modern endpoint management in New Hampshire. This position will drive the planning and delivery of Microsoft Intune and Windows Autopilot solutions, helping move device administration toward a cloud-based model for security, compliance, provisioning, and application control. The role is well suited for someone who can combine technical expertise with strong communication, documentation, and coordination across stakeholders. Responsibilities: • Architect and deploy Microsoft Intune and Windows Autopilot solutions to improve endpoint provisioning and lifecycle management. • Translate existing Group Policy settings into modern Intune configuration profiles and compliance rules aligned with organizational needs. • Configure core Microsoft 365 and Azure components, including Entra ID connectivity, device enrollment, Conditional Access, BitLocker policies, update management, and software distribution. • Build, validate, and refine Windows device enrollment and provisioning workflows to support a consistent end-user experience. • Implement mobile device and application management capabilities using Intune, including app protection controls and related security settings. • Produce clear technical documentation such as deployment procedures, configuration standards, and policy mapping references. • Lead pilot activities, diagnose technical issues, and recommend adjustments to support successful broader rollout efforts. • Partner with internal stakeholders to gather requirements, track project progress, and help ensure effective delivery of endpoint management initiatives.
2026-07-06T00:00:00Z

Network Engineer

Lawrence, MA
onsite
Temporary / Contract
63.3365 - 73.337 USD / Hourly
We are looking for an experienced Network Engineer to support and enhance complex enterprise network environments. This Long-term Contract position is ideal for a detail-oriented individual who can combine deep technical expertise with strong project coordination and stakeholder communication. The role will focus on maintaining secure, high-performing connectivity across corporate, retail, cloud, and data center networks while contributing to infrastructure improvements and scalable solution design. Responsibilities: • Deliver advanced Tier 2 and Tier 3 network support by diagnosing escalated issues, resolving service disruptions, and identifying underlying causes across enterprise environments. • Deploy and improve network infrastructure solutions, including security-focused changes involving firewalls, access segmentation, trust boundaries, and external partner connectivity. • Meet with business and technical stakeholders to collect project requirements, understand application traffic patterns, and translate operational needs into network solutions. • Create structured rollout plans that clearly outline implementation steps, milestones, dependencies, and communication points for assigned initiatives. • Assess opportunities to strengthen global network performance, resiliency, and security through informed recommendations based on routing, switching, and traffic flow analysis. • Perform technical planning for new and evolving technologies by applying architectural guidance, supporting deployment strategies, and contributing to network standards. • Develop solution designs and proposals that align business needs with established engineering practices and support application connectivity requirements. • Produce clear project and operational documentation, including technical diagrams, implementation records, budget inputs, workflow details, and transition materials for support teams. • Lead assigned network projects through completion by coordinating tasks, tracking progress, and maintaining regular communication with stakeholders and delivery partners. • Provide direction to entry-level engineers and external vendors during configuration, implementation, testing, and ongoing operational activities.
2026-06-17T00:00:00Z

M365 Implementation Engineer

Seekonk, MA
remote
Permanent / Full Time
120000 - 140000 USD / Yearly
M365 Implementation Engineer Location: Remote Department: Professional Services Type: permanent About the Role We 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 Lead the deployment, configuration, and migration of Microsoft 365 services in client environments. Deliver solutions across collaboration, communication, and cloud productivity platforms within the M365 ecosystem. Meet with clients regularly through video calls to gather requirements, present progress, and provide technical guidance. Develop automated workflows, apps, and dashboards using the Power Platform to streamline business processes. Implement best practices around identity, governance, compliance, and security within the M365 tenant. Troubleshoot escalated issues and support clients throughout project delivery. Work closely with project managers and stakeholders to translate requirements into effective technical solutions.
2026-06-09T00:00:00Z

Microsoft Systems Engineer

Franklin, MA
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
Onsite in MA 3x per week, non-negotiable We are looking for a Systems Engineer to join our team in Massachusetts and provide senior-level expertise across Microsoft 365 environments. This position is suited for someone who excels at solving complex technical challenges, guiding enterprise integration efforts, and partnering with cross-functional teams to deliver secure, well-structured outcomes. The role offers the opportunity to influence architecture decisions while remaining deeply involved in hands-on engineering work. Responsibilities:• Direct Microsoft 365 integration efforts related to organizational consolidation, including planning, coordination, and execution across multiple environments.• Develop identity integration approaches using Azure AD and Entra ID, covering synchronization, domain alignment, and access control design.• Oversee the migration and integration of Exchange Online, including mailbox transitions, mail routing, retention configuration, and discovery requirements.• Manage SharePoint Online and OneDrive integration activities, including content structure, permissions alignment, and data movement planning.• Build and use PowerShell-based scripts and automation processes to improve consistency, accuracy, and repeatability throughout migration work.• Collaborate with security, compliance, and legal stakeholders to align access policies, governance standards, retention practices, and eDiscovery needs.• Provide technical direction during cutover windows and deliver support to stabilize services following implementation.• Act as the primary technical advisor for Microsoft 365 architecture, integration strategy, and risk reduction best practices.
2026-06-17T00:00:00Z

Senior Machine Learning Engineer

Boston, MA
remote
Permanent / Full Time
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.
2026-06-09T00:00:00Z