Infrastructure Engineer

• Develop and maintain enterprise architecture roadmaps, standards, reference architectures, and design patterns for multi cloud, infrastructure, data, and AI-enabling platforms.
• Design secure, scalable, resilient, and cost-optimized multi cloud and hybrid-cloud infrastructure to support enterprise applications, advanced analytics, artificial intelligence, machine learning, and large language model workloads.
• Architect secure landing zones, compute foundations, and integration approaches that ensure reliable AI and data platform capabilities.
• Translate business, technical, security, compliance, and operational requirements into practical architecture decisions, solution designs, and implementation guidance.
• Work with peer architects to help establish architectural governance, design review, lifecycle management, and service management practices that align with enterprise architecture and ITIL-based operating models.
• Working with Information Security architects, help to define cloud security, identity and access management, data isolation, monitoring, compliance, and multi-tenant guardrails for enterprise infrastructure and AI-enabled environments.
• Evaluate latest technologies, cloud services, AI platform capabilities, vendor solutions, and infrastructure standards to support business outcomes and reduce operational risk.
• Partner with project teams, engineers, architects, security teams, data teams, vendors, and partners to guide solution delivery and ensure successful transition to operation.
• Work with Cloud Engineers to mature existing cloud financial management and FinOps practices to forecast, monitor, and optimize infrastructure, storage, compute, data movement, and AI workload costs.
• Create clear architecture documentation, decision records, recommendations, and presentations for technical, operational, and leadership audiences.
• Provide mentorship for peers and engineers as prescribed by leadership.

Senior ITS Infrastructure Architect

• The Infrastructure Engineer is a technical specialist role responsible for maintaining, supporting, and improving the global infrastructure platform across on-premises and cloud environments.
• This role provides deep technical expertise across servers, storage, networking (LAN, WAN and Wifi), virtualisation, backup + DR, and monitoring systems.
• The role ensures the stability, resilience, performance, and security across infrastructure services that underpin business operations.
• Engineers deliver hands-on technical work, support incidents, participate in project delivery, implement change, and contribute to global standardisation and modernisation initiatives.

• Lead the delivery of advanced solutions in Application Development, Platform Engineering, Data Engineering, Analytics, and Machine Learning.
• Experience in workload migration from on-premise datacenter environments to AWS.
• Enable clients to leverage the full potential of cloud capabilities.
• Collaborate with cross-functional teams to deliver high-quality solutions.

Cloud Infrastructure Architect

• Lead architecture for the Prism Mapping platform's foundational software — runtime, IPC, device communication, system services, and the operational backbone of a medical device.
• Define multi-release direction for how the platform scales with new clinical capabilities, new hardware, and evolving regulatory expectations.
• Set the engineering bar for infrastructure code on reliability, observability, performance, and safety.
• Lead the design and delivery of major subsystems, cross-cutting architecture, or large technical initiatives.
• Exercise broad technical judgment in defining approaches to complex system and architectural problems with limited oversight.
• Drive technical alignment across software, systems, quality, product, and other cross-functional teams.
• Establish and promote software design patterns, engineering standards, and development best practices.
• Provide technical leadership across teams through mentoring, design reviews, and guidance on critical engineering decisions.
• Identify and drive improvements in architecture, development processes, and system design.
• Shape the technical roadmap and architectural direction for major subsystems or product capabilities.
• Communicate complex technical tradeoffs, risks, and recommendations to stakeholders across functions.

Principal Software Engineer – Core Infrastructure, Python/C++

• contribute individually as well as lead GenAI /Agentic AI projects through your full-stack development and architecture expertise
• work closely across business and IT, strong communication skills are necessary
• lead Development projects independently and work with Business, IT and Infrastructure teams
• drive rollout & deployment of “self-service” technology platforms
• create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML
• work with project management facilitating development, managing sprints
• work with Enterprise Architecture to present and review solution designs conforming to EA standards
• create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc)
• develop an in-depth understanding of business processes, functions, teams, incumbent technology
• identify what’s standard vs. bespoke, and what drives value for clients
• design an end-state that relies on the latest automation offerings

Senior AI Infrastructure Platform Engineer

• Implement and support infrastructure technologies such as Microsoft Azure, VMware and networking technologies
• Execute migrations of on-premises platforms to cloud infrastructure
• Manage enterprise support requests from clients subscribing to Kraft Kennedy’s enterprise managed services
• Execute planned evening and weekend maintenance tasks in support of Kraft Kennedy’s enterprise managed services clients, when necessary
• Participate in weekly on-call rotation for evening and weekend support assistance, as requested by enterprise managed services clients
• Escalate to internal and, when necessary, external resources in an appropriate time frame to manage the resolution of complex client issues
• Provide on-site support, as necessary

Cloud Support Infrastructure Engineer

• Respond to incoming requests made via web, email, or phone within agreed-upon levels
• Identify and organize tickets and internal initiatives according to priority
• Update and maintain internal process documentation
• Configure, maintain and troubleshoot corporate environments and applications
• Provide technical support and training for colleagues
• Collaborate with engineering, leadership, and cross-functional team members
• Participate in on-call rotation and ensure uptime of services

Senior Infrastructure Engineer

• Own the daily management, monitoring, and optimization of Access Control and Video Management Systems (VMS) across client environments
• Manage service tickets end-to-end, from intake through resolution and quality inspection with a relentless focus on client satisfaction
• Prepare and deliver clear, actionable reports on system health and performance trends for client leadership
• Collaborate with ADRM teams, client IT departments, end users, and systems integrators to drive successful implementations and upgrades
• Proactively identify risks and improvement opportunities across client security platforms before they become problems
• Represent ADRM in client meetings and calls with technical credibility and strong professional communication
• Support project management activities during system deployments and technology transitions
• Participate in client on-call rotation as needed to ensure continuity of service
• Travel to client sites as needed to support implementations, system commissioning, and relationship-building
• Partner with peers and leadership to maintain client priority lists and track critical path items

Security Infrastructure Engineer

• Design, build, and maintain scalable ETL/ELT pipelines that ingest and process large volumes of operational and machine-generated data
• Architect and manage the company’s data warehouse and overall data infrastructure strategy
• Develop reliable systems for data collection, transformation, storage, and retrieval
• Create scalable data models that support analytics, business intelligence, operational monitoring, and future machine learning applications
• Partner closely with software, robotics, product, and operations teams to define data requirements and improve data accessibility
• Implement data quality, governance, observability, and monitoring processes to ensure data integrity and reliability
• Optimize database and warehouse performance, scalability, and cost efficiency
• Build tools and infrastructure to support reporting, dashboards, and internal analytics workflows
• Help establish best practices around data architecture, pipeline reliability, documentation, and engineering standards
• Support future real-time and streaming data initiatives across connected robotic systems

Infrastructure Engineer jobs in Massachusetts

See all jobs on JobTailor