4 results for Engineer in Manchester, NH

Systems Engineer

Boston, MA
remote
Temporary
47.5 - 55 USD / Hourly
We are looking for a skilled Systems Engineer to join our team in Boston, Massachusetts. In this role, you will focus on managing and optimizing messaging and collaboration platforms, ensuring robust security measures, and providing technical expertise to support organizational goals. This is a long-term contract position within the banking industry, offering an excellent opportunity to work on cutting-edge solutions. Responsibilities: • Oversee the integration of Office 365 tenants to streamline collaboration and communication systems. • Manage migrations and updates related to hybrid Exchange infrastructure, ensuring seamless operations. • Perform administrative tasks for Microsoft Exchange and Cisco IronPort systems to optimize functionality. • Design, monitor, and enhance the performance of messaging and collaboration platforms. • Implement and refine security measures within Office 365 and Azure environments, including Conditional Access Policies and Data Loss Prevention strategies. • Coordinate with monitoring teams to achieve efficient oversight of messaging systems. • Collaborate with server, Azure, and help desk teams to resolve issues linked to Office 365 applications. • Develop and maintain documentation for system upgrades, integrations, and best practices. • Conduct capacity planning and performance tuning to ensure system reliability and scalability.
2026-03-13T00:00:00Z

Software Developer

Laconia, NH
onsite
Permanent
0 - 0 USD / Yearly
We are looking for a skilled Software Developer to join a growing team in Laconia, New Hampshire. In this role, you will be responsible for creating and maintaining internal business applications. This is an on-site position that offers the opportunity to collaborate closely with subject matter experts and contribute to the development of innovative solutions. Responsibilities:• Develop, test, and maintain multi-tier software applications using PHP, SQL, and MySQL.• Collaborate with stakeholders to analyze business needs and translate them into technical specifications.• Write and optimize complex queries and stored procedures to ensure efficient database operations.• Create user-friendly web applications using JavaScript, HTML5, CSS3, and other front-end technologies.• Implement robust application features and ensure seamless integration with existing systems.• Conduct thorough testing to identify and resolve software issues before deployment.• Document development processes and provide clear user instructions and training.• Work closely with team members to ensure project deadlines and quality standards are met.• Stay updated on emerging technologies and best practices to enhance application performance.• Build and maintain strong relationships with clients and internal teams to ensure project success.
2026-03-09T00:00:00Z

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

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