Structural Engineering Explained Jobs in Massachusetts

About the Company

Our client is a well-established global insurance and financial services organization known for its strong reputation, financial stability, and long-term commitment to innovation. The company is investing heavily in modern technology and data platforms to transform how insurance products are delivered to professionals and small businesses.

Within this organization, a rapidly growing digital product team is focused on simplifying insurance through modern technology, data-driven decision making, and scalable cloud infrastructure. The team operates in a collaborative, fast-paced environment and places a strong emphasis on engineering excellence, ownership, and continuous improvement.

About the Role

Our client is seeking a Senior Data Engineer to join their Platform Engineering team in Boston. This role will play a key part in designing, building, and scaling a modern cloud-native data platform used to support analytics, business intelligence, and data-driven decision making across the organization.

This individual will work closely with engineering leaders, data teams, and business stakeholders to develop scalable data integration pipelines and build the foundation for enterprise analytics. The role is highly hands-on and ideal for someone who enjoys building data platforms, working with cloud technologies, and enabling self-service analytics.

The team operates in an Agile environment and values collaboration, ownership, and continuous improvement.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and SQL Server
• Build configuration-driven ingestion processes to support batch and near real-time data pipelines
• Integrate and transform data from multiple sources including APIs, JSON, CSV, XLS, and other structured and semi-structured formats
• Design and document data models, data flows, and data dictionaries to support enterprise analytics
• Implement Lakehouse architecture using Medallion data modeling patterns
• Develop datasets and reporting pipelines supporting Power BI and enterprise analytics
• Maintain the health, security, and scalability of the Azure-based data platform
• Implement best practices for data governance, metadata management, lineage, and access control
• Build and maintain CI/CD pipelines for data infrastructure using tools such as GitHub Actions or CircleCI
• Implement monitoring, alerting, and observability for data pipelines and platform performance
• Optimize data pipelines for performance, scalability, and cost efficiency
• Work cross-functionally with engineering, product, and business teams to define and deliver data products
• Participate in Agile ceremonies including sprint planning, backlog refinement, and delivery cycles
• Mentor junior engineers and contribute to the ongoing development of the data engineering team
• Stay current on emerging technologies and best practices in data engineering

Qualifications

• 7+ years of professional experience in data engineering or data platform development
• Strong experience working in Azure environments, particularly: Azure Data Factory, Databricks, SQL Server / T-SQL
• Experience building scalable ETL / ELT data pipelines
• Experience integrating data from multiple sources including APIs, JSON, XML, CSV, and other formats
• Strong understanding of data warehousing, dimensional modeling, and Lakehouse architecture
• Experience with Power BI, SSRS, or other reporting platforms
• Hands-on experience with CI/CD pipelines and DataOps practices
• Familiarity with data governance, data quality, metadata management, and MDM
• Experience working in Agile development environments
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Experience mentoring or guiding other engineers is a plus

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You'll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

Associate Director of Member Engagement & Enablement

Associate Director of Member Engagement Enablement

1) deeply understand our members

2) set our member engagement and experience strategy, including the measures of performance that drive value, both enterprise-wide and for key strategic initiatives

3) provide the support, guidance and insights to help the business achieve those levels of performance;

4) partner with enterprise technology to build and manage the next generation of member engagement capabilities and infrastructure; and

5) operationalize our member engagement programs by coordinating across clinical, service, analytics, marketing, enterprise technology to deliver seamless member engagement interventions that produce measurable impacts and resonate in the market.

Reporting to the Vice President of Member Engagement, Experience, and Advocacy, the Director of Member Engagement Enablement is responsible for supporting the team’s charter by delivering on the 4th pillar. This person will partner deeply with enterprise technology to help scope, design and build the next generation of our consumer engagement infrastructure, leveraging the insights and needs of the entire MEEA team – especially member engagement programs and consumer research and performance measurement – as well as those of the broader organization to helps us advance our core member engagement-driven strategic imperatives, which includes member navigation.

Key responsibilities include:

• Lead the consumer experience and engagement ‘enablement’ strategic portfolio project work project:
• Be the day-to-day business lead for the staged build of our core member engagement operational data platform
• E.g. ensure the phasing aligns with our strategic business needs and use cases, aware of interdependencies with other projects, vendors and partners in their own phases of development
• E.g. ensure all business use cases and needs across the organization are understood, represented and included for prioritization and then explaining the business rationale behind prioritization decisions to all stakeholders
• Be the day-to-day business lead for our email/SMS
• Design and advance future consumer engagement enablement strategic projects
• In support of our current and developing member engagement programs, and in partnership with the Associate Director of Member Engagement Programs, lead the work to ensure seamless data flow and integration across various engagement platforms including but not limited to CRM, omni-channel communication orchestration engines, and analytics platforms.
• Evaluate and consider emerging tools such as (AI, personalization engines, CRM/CMS innovations) for relevance and scalability
• For example, partner with the Associate Director of Member Engagement Programs and colleagues in Performance Measurement and Improvement (PMI) and Health and Medical Management to evaluate new machine learning and CenAI algorithms/tools that identify key points on members’ clinical journeys, the most impactful opportunities for navigation/guidance/intervention and how to prioritize across multiple clinical pathways when a member has multiple conditions, as well as factoring in other key interactions with BCBSMA to maximize relevance, strengthen our relationship with the member and increase the impact of engagement.
• Champion and prioritize AI, automation and self-service functions across all relevant domains and purviews above.

Qualifications:

• Bachelor’s degree required
• Minimum 10 years of experience in health-related technology roles, with a strong preference for health plan experience and the deep understanding of health plan core technologies, data structures, formats and uses (for BCBSMA this means working knowledge and/or use of: DAL/CAR, RTMS, EDI, EAH, MSST and Data warehouse
• Preferred areas of specialization include (but not limited to): consumer experience and/or digital and marketing technologies; health plan analytics and performance measurement (actuarial, consumer experience, provider performance)
• Deep understanding of the marketing, service and CX technology landscape, including CRM, and email/SMS tools, and customer data technologies.
• Familiarity with agile methodologies and experience embedding agile practices in business teams
• Experience with corporate strategy and portfolio processes
• Strong technical expertise and acumen, with a demonstrated ability to deliver business value through technology
• Proven track record of delivering business-focused results through cross-functional partnerships across a matrixed organization
• Ability to generate trust, influence, and build alliances with dependent stakeholders and business partners.
• Excellent leadership and staff management skills
• Experience communicating and visualizing complex and abstract concepts as well as story-tell to all levels/knowledge-levels in a way that resonates.

Granite delivers advanced communications and technology solutions to businesses and government agencies throughout the United States and Canada. We provide exceptional customized service with an emphasis on reliability and outstanding customer support and our customers include over 85 of the Fortune 100. Granite has over $1.85 Billion in revenue with more than 2,100 employees and is headquartered in Quincy, MA. Our mission is to be the leading telecommunications company wherever we offer services as well as provide an environment where the value of each individual is recognized and where each person has the opportunity to further their growth and achieve success.

Granite has been recognized by the Boston Business Journal as one of the "Healthiest Companies" in Massachusetts for the past 15 consecutive years.

Our offices have onsite fully equipped state of the art gyms for employees at zero cost.

Granite's philanthropy is unparalleled with over $300 million in donations to organizations such as Dana Farber Cancer Institute, The ALS Foundation and the Alzheimer's Association to name a few.

We have been consistently rated a "Fastest Growing Company" by Inc. Magazine.

Granite was named to Forbes List of America's Best Employers 2022, 2023 and 2024.

Granite was recently named One of Forbes Best Employers for Diversity.

Our company's insurance package includes health, dental, vision, life, disability coverage, 401K retirement with company match, childcare benefits, tuition assistance, and more.

If you are a highly motivated individual who wants to grow your career with a fast paced and progressive company, Granite has countless opportunities for you.

EOE/M/F/Vets/Disabled

General Summary of Position:

• 
  
• Prospecting, cold calling and selling our structured cabling products and services to national companies.
  
• Building and maintaining a sales funnel.
  
• Effectively communicate and demonstrate the features and values of our business.
  
• Identify prospect needs and develop action plans and proposals; Deliver in person and online presentations.
  
• Close the deal and maintain positive client relationships.
  
• Create additional revenue opportunities.
  
• Achieve and exceed sales goals.
  
• Develop a clear understanding of Granite's cabling products and services: Managed Services, Cabling Projects, Wi-Fi projects and Rollouts.
  
• You will be selling infrastructure engineering and network installations for voice, data, video, security, and wireless solutions.
  

Duties and Responsibilities:

• 
  
• Prospecting, cold calling and selling our structured cabling products and services to national companies.
  
• Building and maintaining a sales funnel.
  
• Effectively communicate and demonstrate the features and values of our business.
  
• Identify prospect needs and develop action plans and proposals; Deliver in person and online presentations.
  
• Close the deal and maintain positive client relationships.
  
• Create additional revenue opportunities.
  
• Achieve and exceed sales goals.
  
• Develop a clear understanding of Granite's cabling products and services: Managed Services, Cabling Projects, Wi-Fi projects and Rollouts.
  
• You will be selling infrastructure engineering and network installations for voice, data, video, security, and wireless solutions.
  
• Bachelor's Degree Preferred
  

#LI-GC1

Hi,

Akkodis is seeking a Project Manager III for our Contract position with a client. It is a remote position.

Position: Project Manager III

Location: Remote (Waltham, MA- Need to be onsite occasionally)

Duration: 6+ Months

Pay Range: $60/hr - $65/hour without benefits (Pay rate varies based on experience)

Job Description:

Summary:

We are looking for an experienced and detail-oriented Scoping & Project Development Manager to lead the early planning and development phases of facility and infrastructure projects. This role is critical in defining project scope, budget, and schedule, and ensuring successful execution from concept through completion.

As a key member of the Property Services team, you will act as the client-side Project Manager, coordinating with internal stakeholders and external contractors to deliver design, engineering, and construction projects aligned with business objectives.

Key Responsibilities:

• Lead cross-functional teams to deliver projects on time and within budget
• Define and manage project scope, requirements, and objectives
• Develop and maintain project schedules and budgets across all phases
• Collaborate with stakeholders to translate business needs into project plans
• Oversee design, engineering, and construction activities
• Manage risks and ensure compliance with safety, environmental, and building regulations
• Provide regular updates and presentations to leadership
• Ensure successful project close-out, including commissioning and punch list completion

Qualifications:

• Bachelor’s degree in Engineering, Construction Management, or related field
• 5+ years of experience in project development, construction, or facilities management
• Strong knowledge of building systems (HVAC, electrical, plumbing, fire/life safety)
• Experience in scoping, planning, and managing capital or infrastructure projects
• Proficiency with project management tools such as MS Project or Primavera
• Excellent communication and stakeholder management skills

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees with the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave, or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Job Summary

We are seeking a detail-oriented and experienced Electrical Design Engineer to join our growing project team in Boston, MA. The ideal candidate will be responsible for the design, development, and coordination of electrical systems for building and infrastructure projects, ensuring compliance with industry standards, client requirements, and local building codes.

This role requires strong experience in electrical design for commercial, institutional, or infrastructure projects, along with the ability to collaborate with multidisciplinary teams and support projects through design and construction phases.

Key Responsibilities

• Develop detailed electrical design drawings and layouts including power distribution, lighting systems, fire alarm systems, grounding, and communication systems using AutoCAD, Revit, or similar design software.
• Perform electrical load calculations, short circuit analysis, voltage drop calculations, and coordination studies.
• Ensure all electrical designs comply with NEC, NFPA, IEEE, and Massachusetts local building codes.
• Coordinate with civil, structural, and mechanical engineering teams to integrate electrical systems into overall building design.
• Review and approve shop drawings, submittals, and electrical equipment specifications.
• Provide technical support during construction, including responding to RFIs and assisting with site inspections.
• Prepare technical documentation, including electrical schematics, panel schedules, and design specifications.
• Participate in project meetings, design reviews, and site visits with clients, contractors, and vendors.
• Ensure electrical systems are cost-effective, energy-efficient, and compliant with project specifications.
• Support value engineering efforts and recommend design improvements to optimize project performance and cost.

Required Qualifications

• Bachelor’s Degree in Electrical Engineering (B.S. or equivalent).
• 7-8 years of experience in electrical design for construction, commercial buildings, infrastructure, or industrial projects.
• Proficiency with AutoCAD and Revit for electrical design and documentation.
• Experience with electrical analysis software such as ETAP, SKM PowerTools, or similar tools.
• Strong knowledge of NEC (National Electrical Code), NFPA standards, IEEE guidelines, and Massachusetts building codes.
• Experience preparing construction documents and coordinating with field teams.
• Strong problem-solving, communication, and collaboration skills.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Preferred Qualifications

• Engineer-in-Training (EIT) certification or Professional Engineer (PE) license (or working toward licensure).
• Experience with commercial, healthcare, institutional, or transportation infrastructure projects.
• Familiarity with energy-efficient design and sustainable building practices.
• Experience working with contractors, vendors, and construction teams during project execution.

Freelance Sales Director Global Technology Staffing & Remote Workforce

Location: Boston, Massachusetts, United States

Experience: 8+ Years

People Prime is a global talent solutions company specializing in helping organizations build high-performing technology teams through Remote hiring, Staff augmentation, and Offshore delivery models.

Headquartered in India, People Prime connects companies worldwide with highly skilled technology professionals across emerging and advanced digital domains. We enable organizations to scale faster by providing access to a curated network of experienced engineers, AI specialists, data professionals, and technology consultants who can work remotely or as part of distributed global teams.

People Prime focuses on enabling companies to hire high-quality remote technology talent from India, one of the world’s largest and fastest-growing technology talent markets. Through our strong recruitment ecosystem and technical screening process, we provide organizations with access to professionals across a wide range of digital and enterprise technologies.

1. Artificial Intelligence & Machine Learning: Machine Learning Engineers: Generative AI Engineers: Prompt Engineers: Natural Language Processing (NLP) Specialists: Computer Vision Engineers: AI Model Training & Fine-Tuning Experts
2. Data Engineering & Analytics: Data Engineers, Data Architects: Data Scientists: Big Data Specialists, Data Platform Engineers: Analytics & BI Professionals
3. Cloud & DevOps: Cloud Architects (AWS, Azure, GCP): DevOps Engineers: Platform Engineers, Kubernetes Specialists: Infrastructure Automation Experts
4. Software Engineering: Full Stack Developers: Backend Engineers: Frontend Engineers: Mobile Application Developers: Microservices & API Developers
5. Enterprise Platforms: SAP Consultants: Salesforce Experts: ServiceNow Professionals: ERP & Digital Transformation Specialists

Key Responsibilities:

• Identify and acquire new clients seeking technology staffing or remote engineering teams

• Generate opportunities for contract staffing, staff augmentation, and distributed engineering teams

• Develop relationships with technology companies, startups, and enterprise clients

• Present People Prime’s global talent and offshore delivery capabilities

• Build and manage a strong pipeline of staffing opportunities

• Collaborate with delivery and recruitment teams in India to fulfill client requirements

• Negotiate client contracts, rate cards, and service agreements

• Track hiring trends in AI, data engineering, cloud, and software development

Required Qualifications:

• 8+ years’ experience in IT staffing business development or recruitment sales

• Proven track record of generating staffing opportunities and closing new clients

• Strong network within technology companies, startups, or enterprise organizations

• Experience selling staff augmentation or contract staffing services

• Excellent communication, negotiation, and relationship management skills

Preferred Experience:

• Experience selling offshore technology talent or remote engineering teams

• Exposure to hiring in AI, data engineering, cloud, or software development domains

• Understanding of distributed workforce and remote hiring models

Success Metrics:

Success in this role will be measured by:

• New client acquisitions

• Remote staffing requirements generated

• Revenue from staffing engagements

• Successful onboarding of consultants

• Client retention and satisfaction

Performance expectation:

Minimum 4 Contract placements per month

Compensation:

USD 1500 Payable on Every AI/ Technology Contractor Successful onboarding ( Minimum 5 Onboards Expected Every Month )

6% of gross margin for the first 6 months of each engagement

Why Join People Prime:

• Sell high-demand global technology talent solutions

• Work with a scalable offshore delivery model with great cost advantage to clients

• High earning potential with strong commission structure

• Exposure to fast-growing sectors such as AI, cloud, and data engineering

• Opportunity to build long-term partnerships with global technology companies

Senior Software Engineer – Deployment & Reliability (Digital Pathology / Medical Imaging)

A fast-growing technology company operating in the digital pathology and medical imaging space is seeking a Senior Software Engineer to support the deployment, configuration, and long-term reliability of advanced imaging and AI-driven software systems.

This role sits at the intersection of software deployment, infrastructure engineering, and site reliability, ensuring complex software platforms are successfully installed, integrated with customer IT environments, and maintained at high levels of performance and stability.

You will work closely with engineering, customer support, and monitoring teams to ensure a smooth transition from system deployment to ongoing operational support while contributing to improvements that make deployments more scalable and reliable over time.

Key Responsibilities

Deployment & Configuration

• Lead end-to-end deployments of imaging, AI, and data management software systems at customer environments
• Configure and integrate servers, clusters, and storage systems within hospital or laboratory IT infrastructures
• Work with networking, authentication, storage, and security configurations to ensure successful installations
• Collaborate with field engineering teams during system installation and commissioning
• Develop standardized deployment playbooks, documentation, and validation checklists

System Reliability & Upgrades

• Manage software version rollouts, upgrades, and patching across deployed customer environments
• Work with monitoring and observability teams to track system performance and health
• Troubleshoot complex issues across multi-component systems including imaging software, AI inference pipelines, and storage layers
• Improve automation around upgrades, rollbacks, and maintenance processes

Engineering Collaboration & Continuous Improvement

• Identify recurring deployment or performance challenges and work with R&D teams to design long-term solutions
• Provide structured feedback from field deployments to improve product architecture and deployment workflows
• Validate new deployment tools, frameworks, and configuration approaches prior to wider rollout
• Contribute to improving the scalability and resilience of the overall platform

Customer IT & Cross-Functional Collaboration

• Serve as a technical liaison with customer IT teams regarding networking, infrastructure, security, and data access
• Ensure deployments comply with institutional IT policies and healthcare regulatory requirements
• Collaborate closely with support and monitoring teams to align escalation processes and root cause investigations
• Participate in post-deployment reviews to improve operational processes and reliability

Documentation & Knowledge Sharing

• Maintain detailed installation and configuration documentation
• Develop deployment guides, troubleshooting documentation, and internal knowledge resources
• Support and mentor field teams on standardized deployment and configuration practices

Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related discipline
• 5+ years of experience in software deployment, DevOps, infrastructure engineering, or systems engineering
• Strong Linux (Ubuntu) administration and scripting skills
• Experience with containerization and orchestration technologies (Docker, Kubernetes)
• Experience with database technologies such as PostgreSQL or MongoDB
• Familiarity with web service configuration (Nginx or Apache)
• Solid understanding of networking concepts including VPNs, firewalls, and authentication systems
• Ability to troubleshoot complex distributed systems across software, infrastructure, and data layers
• Strong communication and collaboration skills when working with cross-functional teams and customer IT stakeholders

Preferred Experience

• Exposure to medical imaging systems, digital pathology, or healthcare technology environments
• Familiarity with DICOM or PACS systems
• Experience deploying or supporting AI/ML models in production environments
• Experience with observability and monitoring tools (Prometheus, Grafana, ELK)
• Knowledge of regulated environments and healthcare compliance frameworks (HIPAA, GDPR, IVDR)
• Experience supporting hardware and software integrated systems

Why This Role

This position offers the opportunity to work on advanced digital pathology and imaging technologies that support clinical diagnostics and research globally. The role combines hands-on technical deployment with the chance to influence how complex systems are designed, automated, and scaled across a growing global customer base.

• Design and implement automated workflows and AI agents for supply chain tasks.
• Conduct iterative testing and user acceptance testing with supply chain teams.
• Configure workflow logic, decision trees, automation sequences, and integration points for AI functionality.
• Develop hybrid solutions integrating analytics dashboards with AI workflows for process automation.
• Document workflow configurations, prompt patterns, and decisions in detail for non-technical user maintenance.

• Expertise in prompt engineering and AI platform management
• Proficiency in no-code/low-code workflow automation tools
• Deep understanding of AI agent training, context windows, model limitations, and hallucination mitigation.
• Basic technical understanding (APIs, data structures, integrations)