• You will be the technical anchor of the team building Clutch's real-time lending decisioning engine. • Set the technical vision for new projects, own the architecture of significant parts of the system, and take on the hardest, most ambiguous problems. • Make and document the key technical decisions on the initiatives you own and communicate progress, risks, and blockers proactively. • Actively help the rest of the team grow, through detailed peer reviews, mentorship, and pairing that raise the bar on code quality, design, and maintainability. • Within 3 months, ramp quickly on the decisioning engine, taking ownership of a meaningful feature or initiative end-to-end. • Debug and resolve complex issues independently, providing clear root-cause analysis and documenting learnings for the team. • Set the technical vision and lead the design and delivery of a significant new initiative or partner go-live within 6 months. • Drive predictable delivery by communicating progress, risks, and blockers without being prompted. • Identify architectural decisions with cross-team implications and influence how the broader engineering org solves comparable problems within 9 months.

• Design and build production-grade products end-to-end—back-end through UI—across consumer apps, developer-facing technologies and internal platform tooling. • Build the high-performance back-ends and services these products depend on. • Create developer technologies—SDKs, APIs, CLIs, libraries and starter kits—that make the platform easy to build on. • Build internal tooling and platform infrastructure that raises the velocity of the whole team. • Work self-directed: watch the ecosystem and the team's needs, spot gaps and propose and build what moves things forward. • Work with DevRel, Marketing and BD so what you build lands with users and developers and fits go-to-market.

Role Description As a Senior IoT Platform Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. We are looking for a skilled IIoT Platform Engineer to support the evolution of our IT/OT landscape, with a strong focus on implementing a Unified Namespace (UNS) across manufacturing environments. You will play a key role in designing and delivering modern industrial data solutions, enabling real-time connectivity, data orchestration, and scalable integration between shopfloor systems and digital platforms. Responsibilities - Design, develop, and maintain IIoT solutions using Ignition - Enable real-time industrial connectivity and UNS integration across manufacturing systems - Collaborate with OT stakeholders and production teams to connect machines and systems using MQTT, OPC UA, and Ignition - Configure and maintain containerized workloads and APIs - Support system setup, configuration, and troubleshooting - Contribute to cloud-based integrations and data pipelines - Create and maintain high-quality technical documentation Qualifications - Strong hands-on experience with the Ignition platform, including Perspective (SCADA design) - Solid understanding of IIoT architectures and industrial data flows - Experience with MQTT and OPC UA for industrial connectivity - Knowledge of Unified Namespace (UNS) principles - Proficiency with Linux and Windows environments - Experience with APIs, container technologies, and CI/CD pipelines - General understanding of IP networking - A self-driven and service-oriented engineer - Comfortable working across IT and OT domains - Strong communicator with the ability to collaborate across teams - Detail-oriented with a focus on quality and documentation Desirable - Experience working in OT / manufacturing environments - Familiarity with Ignition modules (MQTT Transmission, Gateway, etc.) - Exposure to cloud platforms and data platforms (e.g., Databricks) - Understanding of production processes and industrial workflows - Previous experience in large-scale enterprise environments Benefits - Strong community: Work alongside top professionals in a friendly, open-door environment - Growth focus: Take on large-scale projects with a global impact and expand your expertise - Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications - Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies - Flexibility: Enjoy flexibility – full remote working possibilities - Care: We’ve got you covered with company-paid medical insurance

• Defines, analyzes, and evaluates organizational needs relating to AI-enabled solutions, automation, and collaboration technologies. • Partners with stakeholders to gather requirements and design scalable, secure, and maintainable AI applications. • Leads development of modern solutions using C# and .NET Core/.NET 8. • Develops and deploys cloud-native applications on Azure using: Azure Web Apps / App Services, Azure Function Apps, Durable Functions for orchestrated AI workflows. • Implements event-driven and distributed system patterns leveraging: Azure Service Bus Asynchronous messaging and integration frameworks. • Builds AI-powered solutions using: Azure AI Foundry, Azure OpenAI (chat models, embeddings, vector search), Retrieval-Augmented Generation (RAG) architectures, AI agents and orchestration frameworks. • Develops intelligent copilots and assistants using Copilot Studio, integrating enterprise data and workflows. • Designs and maintains secure APIs and backend services integrating with: Azure SQL Database, Enterprise document repositories and business systems. • Builds containerized workloads using Docker and supports modern deployment strategies. • Implements observability, telemetry, and performance monitoring through: Azure Application Insights, Logging, tracing, and alerting best practices. • Develops and maintains CI/CD pipelines using Azure DevOps or GitHub Actions to ensure reliable automated deployments. • Supports Azure governance and security requirements, including identity, compliance, and networking controls. • Provides quality assurance, documentation, and knowledge transfer for developed AI systems. • Responds to escalated production issues and provides technical leadership in root cause resolution. • Other duties as assigned by IT leadership.