Lingaro

Chief Technology Officer

• Actively lead and contribute to high-impact data/AI projects that directly improve operations support outcomes — e.g., real-time incident enrichment, predictive alerting, automated root-cause analysis, change risk scoring, ticket clustering & autotriage, knowledge mining for support agents, and intelligent runbooks.
• Design and deliver scalable features embedded into operations support workflows and platforms (ServiceNow, Jira Service Management, monitoring tools, ITSM systems, etc.) in collaboration with multidisciplinary competency teams.
• Ensure solutions meet strict operations support SLAs for reliability, low latency, auditability, explainability, and zero-downtime deployment.
• Lead the architecture, development, and continuous enhancement of internal AIOps platforms and reusable components that power operations support teams — including integration with ITSM, observability (Prometheus/Grafana/ELK/Dynatrace/Splunk), ticketing, and automation tooling.
• Support MLOps/AlOps best practices specifically for production operations support Al systems: model monitoring in live ops environments, drift & performance degradation detection, rollback mechanisms, and cost control at operational scale.
• Serve as the lead Al technical authority and trusted advisor for all operations support programs, automation movements, and Al transformation efforts across service operations, NOC, support desks, infrastructure operations, and reliability engineering.
• Lead technical discussions, architecture reviews, PoCs, vendor evaluations, and solution selection whenever Al is being considered or applied to operations support challenges.
• Identify, prioritize, and drive the highest-ROI Al use cases in operations support — e.g., reducing MTTR/MTTD, automating Level 1 triage, predicting PI incidents, autogenerating post-mortems, optimizing shift handovers, and enabling proactive operations support.
• Build, mentor, and lead a high-performing squad of AIOps specialists focused on operations support outcomes.
• Foster a culture of rapid experimentation, production-first mindset, and relentless focus on operational impact (reduced toil, faster resolution, higher availability).
• Partner intensively with operations support leaders, incident managers, service owners, reliability engineers, ITSM/process teams, and infrastructure groups to align Al initiatives with operational priorities and pain points.

AI Operations Tech Leader

Backend Engineer

• Designing, developing, and maintaining the server-side logic of web applications. Implementing scalable and efficient server-side components and APIs.
• Working with relational and/or NoSQL databases to store and retrieve data efficiently. Designing and optimizing database schemas for performance and scalability.
• Integrating third-party APIs and web services to enhance application functionality. Developing custom APIs to facilitate communication between front-end and back-end systems.
• Implementing security best practices to protect against common web application vulnerabilities. Conducting regular security audits and implement necessary measures.
• Optimizing server-side code for maximum speed and scalability. Monitoring and troubleshooting performance issues.
• Collaborating with front-end developers, UI/UX designers, and other team members to ensure seamless integration of components.
• Using version control systems (e.g., Git) to manage and track changes to the codebase.
• Conducting thorough testing of server-side components to identify and fix bugs.
• Collaborating with QA engineers for comprehensive testing.
• Clear and comprehensive documentation for back-end systems and APIs.

Java Developer

Data Scientist

• Implementing end-to-end GenAI powered RAG & multi-agent systems:
• Providing guidance on system architecture & components
• Building TTD system components:
• LLM Agents
• LLM Agents setup & prompt engineering / prompting strategies
• Routing
• State management
• Vector stores and more generally context providing
• Rerankers
• Validation and assessment rules
• Supporting project delivery:
• Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Delivering high quality technical solution to the customer
• Drawing conclusions and recommendations- including expected benefits

Architect

• Act as the technical expert for Smart Factory / Edge architectures in a multi-site, multi-stakeholder environment.
• Review architectural designs (edge, network, cloud, security, data models) and confirm the feasibility of implementation plans.
• Align with Cloud Engineers and OT consultants to ensure ISA-95 compliant IT/OT integration and interoperability across layers (L0–L4/5).
• Validate that all required services are deployed and configured correctly (cloud resources, edge runtime, connectivity, identity, monitoring).
• Define and validate edge-to-cloud data flow requirements, including:
• Tag list/signals, payload schemas/formats, naming conventions
• Frequency, buffering, store-and-forward, latency/availability targets
• Data quality rules (units, timestamps, limits, gaps, duplicates)
• Create logical & conceptual models for contextualization
• Validate conceptual and logical modelling of the factory asset hierarchy (site/area/line/cell/equipment/component) and mapping to data streams.
• Support the implementation of industrial connectivity patterns (e.g., OPC UA, MQTT, Modbus, REST) and integration with OT data sources (historians, SCADA, MES, CMMS, LIMS when relevant).
• Drive architecture decisions for ingestion, storage, and analytics using services such as:
• Azure (IoT Hub, Event Hubs, Functions, AKS, Data Lake, Databricks/Synapse, Monitor, Key Vault, Private Link)
• AWS (IoT Core, Kinesis, Lambda, EKS, S3, Glue, CloudWatch, Secrets Manager, Greengrass)
• Snowflake (ingestion patterns, data modeling, governance, performance considerations)
• Ensure observability is in place: logging, metrics, tracing, alerting, and operational runbooks.
• Coordinate with site IT/networking to ensure:
• Connectivity readiness (routing, DNS, proxy, certificates)
• Firewall rules, ports, and secure connectivity patterns (VPN/ExpressRoute/Direct Connect where applicable)
• Ensure alignment with factory cybersecurity and Zero Trust principles, including segmentation, least privilege, secure remote access, and auditability.
• Own the go-live checklist and drive issue resolution during integration testing and cutover.
• Support test data ingestion and end-to-end validation, from OT signal extraction through cloud ingestion, storage, and consumption.
• Validate performance and reliability requirements (throughput, latency, resilience, recovery) and ensure operational handover readiness.
• Contribute to Digital Twin concepts built on IT/OT convergence (asset hierarchy + telemetry + context).
• Work hands-on with OT / Smart Factory platforms such as AVEVA, Sight Machine, and/or similar (e.g., Ignition, OSIsoft/PI, Tulip, PTC ThingWorx, depending on environment).

Smart Factory Architect

Consultant

• Connect to OT sources: PLCs, SCADA, DCS, industrial sensors, historians, and machine controllers.
• Configure and troubleshoot industrial connectivity using protocols such as OPC UA/DA, MQTT (Sparkplug B), Modbus TCP/RTU, EtherNet/IP, PROFINET, and REST APIs (where applicable).
• Implement tagging standards and support tag governance (naming conventions, units, sampling, quality flags, timestamps).
• Deploy and configure edge runtimes and gateways (on industrial PCs/VMs): Litmus Edge, Ignition Edge, Kepware/KEPServerEX, HiveMQ/Mosquitto, Azure IoT Edge / AWS Greengrass (as relevant).
• Build edge workflows for buffering, filtering, enrichment, and routing using Node-RED, Python, scripting, connectors, store-and-forward patterns.
• Ensure resilient edge operations: offline buffering, retry logic, local persistence, health monitoring.
• Configure and develop solutions within OT/IIoT platforms such as PTC ThingWorx (modeling, connectivity, mashups/services), Sight Machine (data onboarding, model alignment, analytics enablement), Inductive Automation Ignition (tags, gateways, OPC/MQTT modules, UIs), Litmus (connectors, pipelines, edge analytics), Mendix (lightweight apps/workflows on top of OT data).
• Implement end-to-end ingestion pipelines: From L0–L2 signals (machines) > edge > OT platform > cloud ingestion.
• Validate payload formats, schemas, batching, compression, and frequency to meet performance needs.
• Support cloud ingestion patterns using Azure (IoT Hub/Event Hubs, Functions, Data Lake, Databricks/Synapse), AWS (IoT Core/Kinesis, Lambda, S3/Glue), Integration into Snowflake (via streaming/batch connectors where relevant).
• Implement data quality checks: completeness, duplication, timestamp drift, unit consistency, gap detection.
• Work on-site (or remote to site edge systems) to support: Installation, configuration, commissioning, and integration testing, Firewall/network coordination with Site IT (ports, routes, certs, proxies).
• Troubleshoot connectivity and performance across the full chain (OT > edge > platform > cloud).
• Document configurations, runbooks, and handover packages for operations/support teams.

OT Manufacturing Consultant

Supply Chain

• Shape and execute the practice strategy: Define a clear roadmap for Supply Chain & Sustainability services, ensuring alignment with Lingaro’s global growth objectives.
• Expand client portfolio: Lead strategic account planning and develop new business opportunities with Fortune 500 clients, leveraging domain expertise and proven frameworks.
• Influence at CXO level: Act as a trusted advisor to senior executives, presenting innovative solutions and thought leadership in supply chain transformation.
• Deliver excellence in engagements: Oversee end-to-end delivery of complex consulting programs, ensuring adherence to timelines, budgets, and quality standards.
• Foster innovation: Introduce cutting-edge methodologies (AI-driven analytics, digital twins, ESG dashboards) to differentiate Lingaro’s offerings.
• Mentor and grow talent: Build a high-performing, diverse team; implement career development plans and succession strategies.
• Represent Lingaro externally: Publish thought leadership articles, speak at industry conferences, and strengthen the firm’s market positioning.
• Collaborate cross-functionally: Partner with other practices (Analytics, Technology, Consulting) to deliver integrated solutions for global clients.

Director of Supply Chain – Sustainability Practice

Customer Support

• Provide expert service support as L3 specialist for the service
• Identify, analyze, and develop solutions for complex incidents or problems raised by stakeholders and clients as needed.
• Analyze issues and develop tools and/or solutions that will help enable business continuity and mitigate business impact.
• Proactive and timely update assigned tasks, provide response and solution within agreed team's timelines.
• Problem corrective action plan proposals.
• Deploying bug-fixes in managed applications.
• Gather requirements, analyze, design and implement complex visualization solutions
• Participate in internal knowledge sharing, collaboration activities, and service improvement initiatives.
• Tasks may include monitoring, incident/problem resolution, documentations, automation, assessment and implementation/deployment of change requests.
• Provide technical feedback and mentoring to teammates