Role Description The IT Operations Lead is responsible for the hands-on delivery, reliability, and security of Wifinity’s IT services and infrastructure. This is a deeply technical, player-manager role leading a small team of three, with significant personal involvement in: - M365 - Linux systems - Nutanix-hosted infrastructure - Cloud platforms - Monitoring - Incident management - Automation The role ensures that core IT platforms and services are robust, well-monitored, and operationally sound, supporting both corporate users and operational teams. While leadership and structure are important, this role is fundamentally hands-on, requiring strong individual technical contribution alongside team leadership. Qualifications - Strong, demonstrable hands-on Linux experience in production environments. - Strong, demonstrable experience of managing and optimising an M365 tenant, particularly within an E5 licence tier. - Broad IT operations background across infrastructure, service desk, and incidents. - Practical experience with cloud platforms, automation, and monitoring tools. - Comfortable acting as both technical lead and individual contributor. - Understanding of security, resilience, and operational risk. - Calm, methodical, and comfortable operating in live, operational environments. - Experience leading a small team/Line Management. Requirements - Own the end-to-end delivery of IT Service Desk services and act as a senior escalation point, frequently resolving issues hands-on. - Ensure clear prioritisation, SLAs, escalation paths, and accurate documentation. - Drive pragmatic improvements to tooling, self-service, and knowledge base content. - Manage endpoint device management including robust configuration of MDM, InTune, and Conditional Access alignment to InfoSec policies. - Hands-on ownership of on-premise infrastructure predominantly hosted on Nutanix. - Design, build, patch, harden, and troubleshoot Linux systems in production environments. - Manage compute, storage, networking, backups, and platform resilience within Nutanix. - Own capacity planning, lifecycle management, and platform upgrades in line with operational demand. - Operate cloud services using a Linux-first approach, aligned with on-premise standards. - Implement and maintain infrastructure as code, automation, and standardised builds. - Own identity, access management, and authentication, backups, disaster recovery, and cost optimisation. - Own monitoring tools across infrastructure and services. - Lead and actively participate in major and complex incident response. - Own root cause analysis (RCA) and follow-through of corrective actions. - Own software asset and license management across the estate. - Maintain accurate inventories and ensure license compliance. - Lead a small team of 3 through direct involvement, mentoring, and coaching. - Balance delivery discipline with pragmatism. - Maintain high standards of documentation, runbooks, and operational hygiene. - Collaborate closely with Business Systems, Network Operations, and Information Security. - Execute against the IT operational plan while remaining responsive to real-world issues. Benefits - Competitive salary and benefits package. - Annual Leave Buy & Sell Scheme. - Remote first working environment for better work/life balance.

• Responsible for the hands-on delivery, reliability, and security of Wifinity’s IT services and infrastructure. • Lead a small team of three, with significant personal involvement in M365, Linux systems, Nutanix-hosted infrastructure, cloud platforms, monitoring, incident management, and automation. • Ensure that core IT platforms and services are robust, well-monitored, and operationally sound, supporting both corporate users and operational teams. • Own the end-to-end delivery of IT Service Desk services and act as a senior escalation point. • Ensure clear prioritisation, SLAs, escalation paths, and accurate documentation. • Hands-on ownership of cloud infrastructure platforms (e.g. Azure / AWS). • Lead and actively participate in major and complex incident response, coordinating resolution across IT, Network Operations, and third parties. • Maintain accurate inventories and ensure license compliance.

Role Description We are seeking a senior MLOps Architect to design and scale a modern ML and Generative AI platform across AWS. This role will own the architecture for traditional ML and LLM/Generative AI pipelines, ensuring production reliability, governance, cost optimization (FinOps), and enterprise-grade security. The ideal candidate has deep expertise in AWS, SageMaker, Databricks, Atlan (data catalog/governance), and modern MLOps tooling, and understands how to operationalize LLMs, RAG systems, and foundation models within a governed, scalable MLOps stack. This is a strategic, hands-on architecture role responsible for integrating GenAI capabilities into an enterprise ML platform. What you’ll Do - MLOps & GenAI Platform Architecture - Design and implement scalable ML and LLM infrastructure on AWS (SageMaker, EKS, S3, IAM, Lambda, Step Functions, CloudWatch). - Architect end-to-end ML and Generative AI lifecycle workflows: - Data ingestion & preprocessing - Feature engineering / embedding generation - Model training & fine-tuning (traditional ML + foundation models) - Model evaluation & validation - Deployment (real-time, batch, streaming) - Monitoring & retraining - Integrate LLM pipelines (prompt workflows, RAG architectures, fine-tuning flows) into the enterprise MLOps stack. - Define standards for CI/CD/CT pipelines across ML and GenAI workloads. - Generative AI & LLM Operationalization - Architect Retrieval-Augmented Generation (RAG) pipelines including: - Embedding generation workflows - Vector database integration - Document ingestion and chunking strategies - Retrieval evaluation and monitoring - Design and deploy LLM-based services using: - Managed services (e.g., SageMaker endpoints, Bedrock-style APIs) - Containerized custom inference services - Establish prompt versioning, evaluation frameworks, and experiment tracking for LLM systems. - Implement guardrails for hallucination control, safety monitoring, bias detection, and usage logging. - Define architecture for LLM fine-tuning workflows (including data curation, evaluation, and cost controls). - Implement scalable orchestration of LLM pipelines using workflow engines and event-driven patterns. - Deployment, Monitoring & Reliability - Architect scalable inference patterns for: - Traditional ML models - LLM APIs - RAG systems - Implement model monitoring frameworks for: - Performance degradation - Drift detection - LLM output quality - Latency and token usage metrics - Define SLAs/SLOs for ML and GenAI systems. - Design safe deployment strategies (blue/green, canary, shadow testing). - Establish logging, observability, and traceability standards for GenAI systems. - FinOps & Cost Optimization - Implement cost tracking for: - Training workloads - Inference endpoints - Vector database storage - Optimize LLM workloads for cost-performance tradeoffs (model size, batching, caching strategies). - Design autoscaling and compute optimization strategies for GPU and CPU-based inference. - Partner with finance and engineering teams to forecast ML/GenAI infrastructure spend. - Platform Enablement & Standards - Define enterprise standards for: - Experiment tracking - Model registry - Prompt registry - Artifact management - Embedding versioning - Provide architectural guidance to data science, AI, and engineering teams. - Evaluate and recommend tooling across the ML/GenAI stack (MLflow, feature stores, vector databases, orchestration tools). - Drive documentation and reusable patterns for ML and GenAI development. Qualifications - 6+ years of experience in ML engineering, data engineering, or MLOps roles. - Proven experience architecting ML platforms in AWS. - Strong hands-on experience with SageMaker (training, pipelines, deployment). - Experience operationalizing LLM or Generative AI systems in production. - Experience building RAG pipelines and integrating vector databases. - Experience working with Databricks in production. - Experience implementing data governance and catalog systems (e.g., Atlan). - Strong understanding of CI/CD principles for ML and GenAI. - Experience with containerization (Docker) and orchestration (Kubernetes/EKS). - Deep knowledge of infrastructure-as-code (Terraform, CloudFormation). - Strong understanding of observability and monitoring for ML systems. - Experience implementing cloud cost optimization strategies (FinOps). - Strong Python proficiency. - Experience with foundation model fine-tuning and parameter-efficient methods. - Experience implementing model registries and experiment tracking tools. - Experience designing feature stores and embedding stores. - Familiarity with AI risk management, bias mitigation, and safety controls. - Experience supporting regulated or data-sensitive environments. - Platform-level architectural thinking. - Deep understanding of how to integrate GenAI into enterprise ML ecosystems. - Ability to balance scalability, governance, security, performance, and cost. - Strong technical leadership and cross-functional collaboration skills. - Hands-on ability to move from architecture design to implementation. Benefits - Competitive Base Salary Range of $117,800 – $189,000. - Annual Incentive Compensation Eligibility – Up to 10% annually. - Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC). - Flexible Spending Account: Set aside pre-tax dollars for qualified out-of-pocket expenses. - Lifestyle Spending Account: Employer-sponsored post-tax benefits for well-being expenses. - 100% Company Paid Insurances: Basic short-term and long-term disability insurance, as well as vision insurance. - Voluntary Insurance: Supplemental life insurance and enhanced short- and long-term disability coverage available. - Paid Maternity and Parental Leave: Company-paid leave beyond state-mandated policies. - Commuter Benefits: Pre-tax benefits on parking and commuter expenses. - LifeBalance Program: Discounts on outdoor activities, arts, health, and fitness. - Plum Benefits Discount Program: Exclusive discounts on shows, travel, car rentals, and more. - Tuition Reimbursement: Up to $5,000 annually for further education and career development. - Travel Reimbursement: Support for work-related travel expenses. - Paid Time Off and Sick Time. - Retirement Benefits: 401K plan with a 25% match on contributions, up to 6% of annual salary.

Role Description The FME Supervisor plays a critical role in ensuring safety, compliance, and efficiency by supervising Foreign Materials Exclusion (FME) programs across nuclear power facilities and other industrial sectors (energy, manufacturing, and specialty projects). This full-time role balances administrative responsibilities supporting company operations with direct project leadership in the field during outage seasons and specialized assignments. The Supervisor may, at times, also fulfill other FME monitoring roles, as well as consulting and coordination duties within FME role(s) to support clients’ needs and operational success. A Day in the Life and the Impact You’ll Make: What You’ll Do: - Actively contribute to a culture of safety and health by demonstrating accountability, communication, and oversight in key areas such as: - Strategic Alignment - Accountability - Performance Monitoring - Reports - Communication & Engagement - Incident Management - Corrective Actions - Support company operations between projects with planning, scheduling, and administrative oversight. - Drive continuous development and enhancement of the FME Program, ensuring procedures and practices evolve with industry standards and client needs. - Create and deliver job proposals for client opportunities. - Prepare and manage client timesheets, billing, and invoicing to ensure accuracy and timeliness. - Maintain and update FME procedures, documentation, and training records. - Participate in internal planning meetings, reporting, and program development. - Lead the recruitment, interviewing, and selection of new FME staff, building a strong and qualified workforce. - Train and mentor new employees in FME practices using the DEKRA FME Guidebook, Industrial Training procedures, and company standards. - Provide ongoing mentorship to FME Technicians and Leaders-in-Training. - Ability to create an effective interview environment to assess candidates' experience, navigate social media to post requisitions and fit for the DEKRA team. Project-Specific Responsibilities: - Lead on-site FME programs during nuclear outages, upgrades, and other project-specific assignments. - Support other industries beyond nuclear (energy, industrial, and manufacturing) with FME supervision as needed. - Supervise personnel to ensure strict adherence to FME protocols, DEKRA FME Guidebook requirements, Industrial Training procedures, and site/plant procedures. - Conduct job-site assessments, foreign material walkdowns, and readiness checks. - Step in to fulfill other FME Monitoring, Consulting, or Coordinating roles as necessary to maintain program effectiveness and meet client needs. - Coordinate with utility representatives, contractors, and site leadership to integrate FME controls into project activities. - Provide FME Consulting Services to clients, including program evaluations, best practice recommendations, and compliance improvements. - Perform coordination duties within FME role(s) through managing schedules, personnel, and resources to ensure seamless FME program execution. - Respond rapidly to emergent issues in the field and make critical decisions under pressure. - Travel extensively during outage seasons and project deployments (per diem provided or Company AMEX issued). - Attend Industry Working Groups as part of the DEKRA Leadership Team and network with the intent of building the business. - Attend FME Coordinator Training provided by external accredited party (e.g. FME Industry Working Group) and receive certification, if not already received. - Organize annual Leadership and Team Trainings. Qualifications - Minimum one year of experience in nuclear power, outage support, or industrial safety. - Prior FME experience strongly preferred. - Demonstrated leadership experience in a supervisory, consulting, or coordinating role. - Must be able to pass all testing and qualifications, including a background test to obtain unescorted access to a nuclear facility. - Strong organizational, communication, and problem-solving skills. - Ability to work in a high-stress, safety-sensitive environment. - Must be able to travel nationwide and work extended hours during projects. - Advanced proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). - Excellent interpersonal, verbal, written, and presentation skills. - Ability to maintain confidentiality and handle sensitive information. - Experience in delivering high-quality customer service. - Ability to work independently and collaboratively in a team environment. - Willingness to support a collaborative office environment and assist with various administrative tasks. - Must be a people-person with excellent communication skills, both verbal and written. Requirements - Must be able to work in a variety of client locations, environments, and conditions, including: - Climbing stairs and ladders - Working at heights - Walking long distances - Walking on rough and uneven terrain - Working in heat/cold conditions, indoors and outdoors - Must be able to accommodate working various shifts as client activities are scheduled. - Must be able to withstand the rigors of extensive travel. - Ability to move and conduct work with full range of motion. - Extended periods of computer-based work. - Extended periods of standing. - Ability to work independently and manage time dedicated to your role while being in your home office. - Ability to handle extended periods of computer-based work, including telephone. - Ability to work flexible and long hours, as needed. Travel Considerations - Domestic and/or international travel required, estimated up to 80%. - Ability to lift 25-50lbs (luggage). Benefits - Compensation: - The base pay for this position is $25.00/hour - $42.00/hour. Actual pay is based on several factors including market location and position-related duties, knowledge, skills, and experience. - Health & Well-being Benefits: - Health care benefits: medical & prescription, dental, vision (including Domestic Partners). - Critical Illness & Hospital Indemnity supplemental insurance. - Company Health Savings Account contribution. - Flexible Spending Account for eligible health care and dependent care expenses. - Paid time off such as vacation, sick leave, and floating holidays. - Mental and emotional support resources through our Employee Assistance Program. - Wellness Program to increase activity and health habits, with ability to earn participation rewards. - Paid Parental Leave. - Travel Assist (Domestic/International). - Financial Benefits: - Participation in a 401(k) plan, with an employer match. - Company paid Short- & Long-Term Disability benefits. - Group term life insurance with options to buy-up for self and others. - Working Advantage – DEKRA’s official corporate discount program. - Growth and Development Benefits: - Regional Advancement Program. - Education Assistance Program. - Student Loan Repayment Assistance. - Internal training and development resources to grow your career. - Annual Career Goal Setting and Performance Review cycle participation.