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8 results for Cybersecurity Engineer in Boston, MA

Hardware Engineer

Cambridge, MA
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
We are looking for a Hardware Engineer to join our team in Boston, Massachusetts and support the design and deployment of machine vision hardware solutions for industrial applications. This role is ideal for someone with a mechanical engineering foundation who enjoys translating real-world operating conditions into practical camera, lighting, and system configurations. You will work closely with internal teams and customers to improve imaging performance, document deployment standards, and help validate reliable hardware setups for both pilot programs and production environments. Responsibilities:• Assess customer environments by reviewing operating conditions such as motion, available space, lighting variability, and mounting limitations to determine effective vision system setups.• Develop hardware recommendations that align with application needs, including cameras, lenses, illumination components, compute platforms, and network connectivity equipment.• Refine camera placement, lighting approach, and viewing angles to improve defect detection and overall imaging quality across different use cases.• Create clear technical documentation such as configuration records, wiring layouts, setup instructions, and deployment diagrams to support repeatable installations.• Support hands-on testing and qualification activities to confirm hardware performance, durability, and reliability before broader rollout.• Visit customer sites as needed to assist with installation planning, validate hardware selections, and troubleshoot field performance issues.• Define hardware use cases for industrial automation environments, including scenarios that may involve integration with programmable logic controllers.• Partner with cross-functional teams to identify vision-related issues, propose corrective hardware changes, and optimize system designs for production demands.
2026-06-03T00:00:00Z

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

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

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

Senior Data Engineer

Boston, MA
remote
Permanent / Full Time
130000 - 160000 USD / Yearly
We are looking for a Senior Data Engineer to join a growing data team supporting an innovative healthcare-focused program in Boston, Massachusetts. In this role, you will design and optimize data solutions that transform complex patient, medical, financial, and marketing information into reliable assets for analytics and leadership reporting. This position offers the opportunity to work remotely while partnering closely with technical and business stakeholders to build scalable data pipelines in a modern Azure environment. Responsibilities: • Design, build, and maintain robust data pipelines that ingest, transform, and organize information from multiple sources for downstream analytics use. • Develop scalable data engineering solutions using Databricks, Azure Data Factory, SQL, and Python within a cloud-based architecture. • Integrate and prepare diverse datasets, including patient-related, clinical, financial, and marketing data, to support reporting and business insights. • Collaborate with business intelligence partners to deliver clean, dependable datasets that power dashboards, reporting, and decision-making for leadership teams. • Write efficient SQL and transformation logic to solve complex data challenges and improve the performance and reliability of existing workflows. • Partner with architects and cross-functional stakeholders to define data models, engineering standards, and best practices across the platform. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen data quality, accuracy, and operational stability. • Contribute as a senior member of a small engineering team by sharing technical guidance, communicating clearly, and supporting long-term platform growth.
2026-06-03T00:00:00Z

Senior Director of Engineering

Boston, MA
onsite
Permanent / Full Time
190000 - 250000 USD / Yearly
We are looking for a Senior Director of Engineering to lead platform innovation and guide the development of advanced software solutions in Boston, Massachusetts. This leader will shape engineering direction for AI- and automation-driven products, support high-performing managers and teams, and partner closely with product and technical stakeholders to turn strategy into scalable execution. The ideal candidate brings a strong software development foundation, excels in customer-facing environments, and is energized by mentoring teams while influencing architecture, delivery, and long-term platform growth. Responsibilities:• Define and lead the engineering strategy for a next-generation platform focused on AI and automation• Manage and develop engineering leaders, with direct oversight of two engineering managers and broader responsibility for a team of approximately 10 to 15 engineers.• Translate product vision and roadmap priorities into technical plans that support scalable, reliable, and secure platform delivery.• Guide architectural decisions, participate in design discussions, and contribute meaningful feedback during code reviews and technical evaluations.• Oversee the creation and validation of proof-of-concept solutions to assess emerging technologies and accelerate product innovation.• Partner with cross-functional leaders to advance AI adoption across products and bring new intelligent capabilities to market.• Strengthen team performance through effective people leadership, delivery planning, process improvement, and strong project execution practices.• Engage with customers and internal stakeholders to understand business needs, communicate technical direction, and align engineering outcomes with user impact.• Maintain an on-site leadership presence in Boston, Massachusetts one day per week to support collaboration with executive and engineering partners.
2026-06-03T00:00:00Z

Enterprise Data Analytics Engineer

Boston, MA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making. Responsibilities:• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.
2026-06-03T00:00:00Z

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