Software Developer – .Net, C#

Stiamo ricercando un/a Software Engineer da inserire presso l'Ufficio Automazione per azienda leader nel mondo delle macchine automatiche per la lavorazione di materiali, in prov. di Pesaro e Urbino. La risorsa sarà coinvolta nella progettazione, sviluppo e integrazione di soluzioni software per sistemi di automazione industriale avanzata, contribuendo alla realizzazione di progetti complessi e innovativi. Responsabilità principali Progettazione e sviluppo di software in ambienti industriali, utilizzando i linguaggi Structured Text (Beckhoff) e C# come strumenti principali. Implementazione di algoritmi di controllo e integrazione di sistemi SCADA/PLC. Esecuzione di test e prove di validazione (Proof-of-Concept) in reparto. Analisi e risoluzione di anomalie software, supporto alla messa in servizio presso clienti e in sede. Partecipazione a progetti internazionali, con disponibilità a trasferte secondo le esigenze di progetto. Requisiti Laurea in Informatica , Ingegneria dell’Automazione o Elettronica; in alternativa, diploma tecnico (Perito Informatico – ITIS). Solida conoscenza della programmazione Object Oriented. Buona conoscenza dei linguaggi: C#, Structured Text (ST), gradita conoscenza di C++ Python e SQL. Buona conoscenza della lingua inglese, sia parlata che scritta. Esperienza pregressa in settori industriali o impiantistici (gradita). Spiccate capacità di problem solving, lavoro in team e affidabilità. RAL compresa tra 45.000€ e 50.000€ Inviare il cv a: [email protected]

Role Overview As the Product Manager for Distribution, you are the "Full-Stack" owner of the value stream connecting our suppliers to our customers. You will move beyond tactical ticket-writing to drive the "Why" and "What" for both customer sales and supplier purchasing capabilities. This role is part of our Functional Product Stream, focused on solving pervasive market problems to drive adoption and revenue. Core Responsibilities Your work is structured around the Product Management Lifecycle (PMLC), focusing on outcome-based decision gates rather than feature output. 1. Discovery & Strategy (The "Why") Market Sensing: Conduct biweekly customer and supplier interactions to validate that identified problems are urgent and pervasive. Problem Validation: Use data from Win/Loss reports and Customer Advisory Boards (CAB) to build evidence-based business cases. Opportunity Canvasing: Define the market driver, competitive landscape, and economic impact (ROI) for new distribution initiatives. 2. Solution & Design (The "What") Roadmap Ownership: Maintain a 3-year Now/Next/Later roadmap that balances customer sales features, supplier integration, and technical health. Ruthless Prioritization: Apply the RICE framework (Reach, Impact, Confidence, Effort) to the backlog to ensure we focus on "Return on Effort". Constraint Definition: Clearly distinguish between MVP (Technical Prototype) and MLP (Minimum Lovable Product) to prevent scope creep. 3. Delivery & Market Alignment (The "How") Squad Leadership: Act as the strategic lead for a group of Autonomous Squads (Atomic Scrum Units), collaborating with a Tech Lead and Product Designer. GTM Readiness: Partner with Product Marketing to ensure Sales, Support, and Customer Success are operationally ready for new releases. Success Analysis: Post-launch, measure actual adoption and revenue against the original business case metrics to decide whether to Pivot, Persevere, or Kill. 4.Success Metrics (KPIs) In a product-led organization, you are measured on Outcomes, not outputs: ARR: Supporting growth goals for sales. Customer Retention: Ensuring users get continuous value from the distribution module. Outcome Achievement: Meeting the specific success criteria defined in your Business Cases (e.g., reducing purchasing lead times). Strategic Alignment: Ensuring 100% of your roadmap items are scalable for multiple customers and not bespoke requests. Qualifications Experience: 5-10 years of experience in Product Management within supply chain, ERP, or distribution software is highly preferred. Mindset: High tolerance for ambiguity and a natural curiosity for user problems over technical "purity". Decision Making: Ability to make "Green Light" investment recommendations based on hard data (logs, usage stats) rather than "gut feel". Tooling: Proficiency in Aha! for strategy/roadmapping and Jira for execution management.

Job Summary The General Manager – Supply Chain & Operations will play a crucial role in optimizing the company's supply chain processes and operational efficiency. This position is responsible for developing strategies that enhance productivity, reduce costs, and improve service levels. By leading cross-functional teams, the General Manager will ensure seamless coordination across all supply chain and operations activities, contributing significantly to the overall organizational success. Key Responsibilities Lead and oversee the end-to-end supply chain operations to ensure efficiency and effectiveness. Develop and implement operational strategies that align with organizational goals. Collaborate with various departments to enhance interdepartmental coordination and communication. Analyze supply chain performance metrics and derive actionable insights for continuous improvement. Manage vendor relationships and negotiate contracts to optimize partnership performance. Ensure compliance with industry regulations and internal policies throughout supply chain processes. Required Qualifications Bachelor's degree in Supply Chain Management, Business Administration, or a related field. 8 to 12 years of experience in supply chain and operations management. Proven leadership skills with the ability to manage and develop teams effectively. Preferred Qualifications Master's degree in Business Administration or a related field. Experience with supply chain optimization tools and methodologies. Strong analytical skills with a focus on data-driven decision-making. Proficient in supply chain software and ERP systems.

Title: AI ML Engineer We are looking for a Senior AI/ML Engineer to design, build, and evaluate LLM-based systems that automate complex, multi-step healthcare workflows. Key Responsibilities Agentic Architecture: Design and own prompt/agent architectures and task decomposition for multi-step production healthcare workflows. RAG Pipeline Engineering: Build and maintain advanced RAG pipelines utilizing semantic/hierarchical chunking, embedding optimizations, and vector database retrieval. Evaluation & Guardrails: Build independent verification layers and evaluation harnesses (golden datasets, automated scoring, precision/recall/F1 tracking) using tools like Ragas or DeepEval. Production Optimization: Drive down cost-per-transaction and latency in production; make model-selection tradeoffs between hosted APIs (OpenAI, Anthropic) and self-hosted models. Cross-functional Collaboration: Partner with data engineering on dataset construction and quality stakeholders on production go-live criteria Required Qualifications Experience: 3+ years of experience building and deploying production-grade LLM systems (not just wrapper prototypes or demos). RAG Expertise: Hands-on experience with embedding strategies, vector databases (pgvector, OpenSearch, Pinecone, or Weaviate), and advanced chunking methods. Evaluation Metrics: Demonstrated experience evaluating model tasks using quantitative frameworks (Precision, Recall, F1 score). Cloud & Orchestration: Proficiency with a major cloud AI platform (AWS Bedrock/SageMaker, Azure OpenAI, or GCP Vertex AI) and orchestration tools (LangChain or LlamaIndex). Core Skills: Strong Python capabilities along with basic microservice design (REST / gRPC) and containerisation (Docker, Kubernetes). Preferred Qualifications Experience in healthcare, insurance claims, or another highly regulated, zero-error-margin domain. Familiarity with HIPAA compliance and PHI/PII data handling requirements (data masking/redaction). Hands-on experience with LLM-as-a-judge observability tooling (LangSmith, Braintrust, DeepEval, Ragas, or promptfoo).

Inside Sales Representative | GIS & Geospatial Technology Location: TBC Salary: Competitive, plus bonus Experience: 3-5 years We are looking for a commercially driven Inside Sales Representative to join a growing technology business operating within the GIS and geospatial software market. This is an exciting opportunity for a sales professional who enjoys building customer relationships, managing opportunities and closing deals. Working with a well-established partner ecosystem, including the Esri network, you will be responsible for converting qualified inbound enquiries into new business. Rather than focusing heavily on cold outreach, you will work with an existing pipeline of opportunities, guiding prospective customers through the sales process and helping them identify the right solutions for their needs. The Role As an Inside Sales Representative, you will manage inbound sales opportunities from initial engagement through to successful closure. You will work closely with internal teams and external partners to understand customer requirements, present relevant solutions and build long-term commercial relationships. Key responsibilities include: Manage and convert qualified inbound sales opportunities generated through an established partner network. Develop relationships with prospective customers, understanding their business challenges and requirements. Own the sales process from initial qualification through to negotiation and closing. Work closely with partners, including those within the Esri ecosystem, to maximise commercial opportunities. Deliver product presentations and coordinate technical demonstrations where required. Prepare commercial proposals, quotations and follow-up communications. Maintain an accurate sales pipeline and manage opportunities effectively through CRM systems. Achieve individual sales targets while delivering a positive customer experience. What We're Looking For: We are particularly interested in speaking with motivated sales professionals who have experience within software, SaaS, GIS or other technology-driven environments. Ideally, you will have: Approximately 3-5 years of experience in B2B sales, inside sales, account management or a similar commercial role. A proven ability to manage sales opportunities and convert qualified leads into revenue. Experience selling software, SaaS or technology solutions. Strong communication, relationship-building and negotiation skills. Confidence managing customer conversations and progressing opportunities through the sales cycle. Experience using CRM platforms to manage pipelines, forecasts and customer interactions. A proactive, organised and commercially focused approach. Highly desirable: Experience within the GIS, geospatial, mapping or location intelligence markets. Familiarity with Esri, ArcGIS or related geospatial technologies. Experience handling partner-referred leads or working alongside technology resellers and channel partners. Direct Esri experience would be advantageous, but we are equally interested in candidates with strong software sales backgrounds who are keen to develop their knowledge of the geospatial technology sector. Why Apply? Join a growing technology business operating in a specialist and expanding market. Work with qualified inbound opportunities supported by an established partner ecosystem. Take ownership of customer relationships and opportunities from qualification through to close. Develop your commercial and technical knowledge within the GIS and geospatial technology industry. Enjoy the opportunity to build a long-term career within a collaborative, commercially focused environment.

Principal Architect – Network & Data Infrastructure Location: Chennai, IndiaEmployment Type: PermanentJob Function: Information Technology (IT)Experience: 15+ YearsWork Mode: Work from OfficeShift: Must be willing to work in shifts Job Summary We are looking for an experienced Principal Architect to lead enterprise network architecture, design, and technology strategy. The role involves building secure, scalable, highly available network infrastructure while driving modernization, performance optimization, and security governance. Key Responsibilities Define enterprise network architecture, standards, design principles, and technology roadmaps. Design and optimize LAN, WAN, SD-WAN, wireless, and network security solutions. Provide advanced technical expertise in Cisco networking, Aruba wireless, and routing protocols such as OSPF, EIGRP, and BGP. Lead critical network incident resolution, root cause analysis, and infrastructure modernization. Govern vulnerability management, network security, compliance, and risk remediation. Drive network monitoring, automation, performance optimization, and capacity planning. Review architecture designs, maintain technical documentation, and collaborate with cross-functional teams. Mentor senior engineers and architects and engage with stakeholders and technology vendors. Required Skills and Experience 15+ years of experience in enterprise networking and infrastructure architecture. Proven experience in a Principal Architect, Lead Architect, or equivalent senior technical role. Strong expertise in Cisco routing, switching, SD-WAN, and Aruba wireless technologies. Excellent knowledge of OSPF, EIGRP, BGP, network security, high availability, and network segmentation. Experience with vulnerability tools such as Rapid7, Nessus, or Qualys and monitoring tools such as SolarWinds or PRTG. Knowledge of network automation, scripting, and architecture governance. Strong technical leadership, communication, and stakeholder management skills. Preferred Certifications CCNP, CCIE, ACMA, or ACSDP.

The Engineering Delivery Head is responsible for establishing and scaling the operating model of the DTC Engineering. The role partners closely with the Head of Engineering, Engineering Directors, HR, and Talent Acquisition to ensure the organisation executes effectively against strategic priorities. The role owns engineering portfolio governance, organisation planning, people strategy, delivery excellence, operating rhythms, executive reporting, and continuous improvement initiatives that enable the DTC Engineering & TechHub organization to scale sustainably. This role does not directly own software engineering teams. Instead, it ensures the organisation has the right people, processes, governance, operating mechanisms, and execution discipline required to deliver business outcomes. Key Responsibilities & Scope of Ownership: Engineering Operating Model & Governance Own and continuously improve the engineering operating model. Establish governance forums, leadership cadences, planning cycles, and review mechanisms. Drive consistency in ways of working across domains, squads, projects, and delivery teams in partnership with Product & Project leadership. Facilitate cross-functional alignment between Engineering, Product, Architecture, Security, Data, and Operations teams. Ensure clear accountability, RACI models, and decision-making frameworks are adopted across the organisation. Lead continuous improvement initiatives focused on engineering effectiveness and operational excellence. Lead organisational change initiatives to drive adoption of new operating models, processes, tools and ways of working. Delivery Excellence & Process Management Define and track engineering KPIs across flow, quality, reliability, predictability, productivity, and business outcomes. Drive delivery planning and execution reviews across the portfolio. Identify delivery risks, bottlenecks, dependency challenges, and organisational impediments. Establish standard operating procedures, governance controls, and best practices for execution. Partner with Engineering Directors to improve release predictability, quality, and delivery performance. Champion AI-native ways of working and continuous optimisation across the software development lifecycle. Strategy & Portfolio Management Partner with the Head of Engineering to define and execute the Engineering strategy and annual operating plan. Facilitate prioritisation, capacity planning, and demand management across engineering portfolio. Manage strategic staffing and technology partners, ensuring workforce quality, cost effectiveness and alignment with capability needs. Establish portfolio governance processes, review forums, and decision-making mechanisms within the engineering organization. Track strategic initiatives, OKRs, milestones, dependencies, risks, and outcomes across the engineering organisation. Provide executive-level reporting and insights to leadership stakeholders. People Strategy & Organisation Development Define workforce planning strategy aligned with TechHub growth objectives. Partner with Talent Acquisition on hiring plans, workforce mix, and critical capability acquisition. Drive organisation design, succession planning, leadership development, and talent reviews. Establish onboarding, career progression, mentoring, and internal mobility frameworks. Partner with Engineering Directors to improve engineering culture, engagement, retention, and organisational effectiveness. Track and report people-related metrics, including hiring velocity, attrition, organisational health, and capability maturity. Organization Operations & Leadership Support Partner with TechHub Lead to establish and scale the operating model, including workforce strategy, capability development, governance, and organisational effectiveness. Prepare leadership reviews, executive presentations and strategic communications. Coordinate organisation-wide planning events, budgeting cycles, and operational reviews. Drive execution of strategic initiatives and leadership action items. Ensure decisions are tracked, communicated, and implemented across the organisation. Support culture-building initiatives and employee engagements. Key Requirements: 12+ years in engineering, with significant time in delivery/engineering-ops leadership. Demonstrated ownership of organisational design, career frameworks, and engineering operating models. Experience leading portfolio governance, prioritisation, and capacity planning across multiple teams and domains. Strong stakeholder management across distributed/global teams as well as senior leadership. Comfortable operating both strategically (portfolio, org design) and tactically (process, reporting). Proven track record of building and scaling engineering organisations and delivery functions. Working knowledge of Agile/Scrum and hybrid product-project delivery models Data-driven approach to decision-making, with fluency in engineering and delivery metrics/dashboards. Experience partnering with Finance/HR on budgeting, workforce planning, and cost optimization. Experience establishing engineering operating rhythms, governance forums, executive reviews and performance management. Excellent written and verbal communication skills, including experience presenting to executive leadership. Bachelor’s degree in Engineering, Computer Science, or relate

About the Role We are looking for an experienced Java Tech Lead to drive the technical design, development, deployment, and delivery of scalable, high-performance enterprise applications. The ideal candidate will bring strong hands-on expertise in Java, Spring Boot, Microservices, REST APIs, and distributed systems, along with proven experience leading engineering teams and driving technical decisions. Hands-on experience with AWS and application deployment is mandatory. The role requires a strong balance of hands-on development, architecture, technical leadership, mentoring, deployment/release ownership, and stakeholder management. You will work closely with Product Managers, Architects, Engineering Managers, DevOps, and cross-functional teams to build reliable, scalable, and maintainable technology solutions. Key Responsibilities Technical Leadership & Architecture Lead the technical design and development of complex, scalable Java-based applications and platforms. Define and drive technical architecture, design patterns, coding standards, and engineering best practices. Translate business and product requirements into robust technical solutions. Conduct architecture and design reviews and provide guidance on technology selection and implementation approaches. Identify technical risks, dependencies, scalability challenges, and performance bottlenecks and drive their resolution. Contribute to modernization initiatives, including monolith-to-microservices transformation and cloud adoption, particularly on AWS. Software Development Design, develop, and review high-quality, scalable applications using Java and Spring Boot. Develop and maintain RESTful APIs, Microservices, and distributed systems. Write clean, maintainable, testable, and efficient code. Perform detailed code reviews and ensure adherence to engineering and security standards. Troubleshoot complex production issues and drive root-cause analysis and permanent resolution. Optimize application performance, reliability, scalability, and resource utilization. Deployment, AWS & Production Support Own or contribute hands-on to application deployment across development, testing, staging, and production environments. Manage production releases, deployment validation, rollback planning, and release-related troubleshooting. Design, deploy, and support applications on AWS; understand relevant AWS services and cloud deployment patterns. Work with DevOps teams on CI/CD pipelines, environment configuration, monitoring, logging, and deployment automation. Ensure deployments meet reliability, security, scalability, and availability requirements. Team Leadership & Mentoring Lead and mentor a team of software engineers, providing technical direction and guidance. Conduct regular design/code reviews and promote engineering best practices across the team. Support team members in solving complex technical problems and developing their technical capabilities. \ Participate in technical interviews and contribute to hiring and team-building initiatives. Promote a culture of ownership, collaboration, innovation, and continuous improvement. Delivery & Collaboration Work closely with Product, QA, DevOps, Architecture, and other stakeholders to ensure successful delivery of projects. Break down complex requirements into technical tasks and provide effort and implementation estimates. Own technical deliverables and ensure projects are delivered within agreed timelines and quality standards. Participate in Agile ceremonies including sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives. Communicate technical decisions, project risks, deployment readiness, and progress effectively to technical and non-technical stakeholders. Required Technical Skills 12+ years of overall experience, with strong hands-on expertise in Java-based software development. Strong proficiency in Core Java, Java 8/11/17+, OOP, Collections, Multithreading, Concurrency, and JVM concepts. Strong hands-on experience with Spring Framework / Spring Boot. Extensive experience developing Microservices and RESTful APIs. Strong understanding of Distributed Systems, System Design, and Design Patterns. Hands-on experience deploying applications and supporting releases across environments. Mandatory hands-on experience with AWS, including deploying, operating, or supporting applications on AWS cloud services. Experience with relational databases such as MySQL, PostgreSQL, Oracle, etc. Good understanding of SQL, database design, indexing, and query optimization. Experience with messaging/event-driven technologies such as Kafka, RabbitMQ, or similar. Experience with Docker and Kubernetes is preferred. Good understanding of CI/CD, Git, Jenkins/GitHub Actions/GitLab, and DevOps practices. Strong understanding of unit testing, integration testing, TDD/BDD, and automated testing practices. Experience with application performance monitoring, logging, troubleshooting, and production support. Leadership & Soft Skills Proven experience in technical leadership and mentoring engineering teams. Strong problem-solving and analytical skills. Excellent understanding of software engineering principles and best practices. Ability to make sound technical decisions and take ownership of complex problems. Strong communication and stakeholder-management skills. Ability to work effectively in a fast-paced, collaborative environment. Strong focus on quality, scalability, security, and engineering excellence. Good to Have Knowledge of Node.js and experience working with Node.js-based services or applications. Experience with cloud-native application development and AWS services beyond basic deployment. Knowledge of React, Angular, or other modern frontend technologies. Experience with Redis, Elasticsearch/OpenSearch, or similar technologies. Exposure to AI/ML integrations or GenAI-based applications. Experience with high-scale, high-availability systems. Experience driving technology modernization, platform engineering, or large-scale application transformation. What We’re Looking For We are looking for a hands-on technical leader who can independently drive complex engineering initiatives, make architecture and design decisions, mentor engineers, and work closely with business and product stakeholders. The ideal candidate should be technically strong, architecture-oriented, delivery-focused, comfortable with AWS-based application deployment, and able to take end-to-end ownership of critical applications and engineering initiatives.

Role: Identify, generate, and qualify leads to build a strong sales pipeline. Achieve annual sales targets of ₹3 Crores or more, including closing enterprise deals valued at ₹25 Lakhs and above. Independently manage the complete sales lifecycle, from prospecting and product demonstrations to proposal submission, negotiation, and deal closure. Drive sales of both on-premise enterprise software and SaaS solutions by understanding client requirements and presenting suitable solutions. Build and maintain strong relationships with CXOs, business owners, and key decision-makers while effectively managing stakeholders and gatekeepers. Maintain accurate daily sales reports, track pipeline progress, provide regular updates to leadership, and develop strategies to expand territory revenue and market presence. Demonstrate an entrepreneurial mindset, strong communication and negotiation skills, a positive attitude, and a growth mindset, with the ability to work independently and scale the sales team as business needs grow.

● Required Skills and Competencies o 7+ years of experience in AI/ML, Data Science, Machine Learning Engineering, or related fields. o Strong hands-on programming experience in Python. o Strong understanding of Machine Learning and Deep Learning concepts and algorithms. o Hands-on experience with PyTorch, TensorFlow, or similar frameworks. o Strong knowledge of NLP, Transformers, and modern AI architectures. o Hands-on experience with Generative AI and Large Language Models (LLMs). o Experience with RAG, embeddings, vector databases, prompt engineering, and LLM evaluation. o Experience with LLM fine-tuning or customization, such as LoRA, PEFT, or QLoRA. o Experience designing and deploying AI/ML solutions in production. o Strong understanding of MLOps, model deployment, monitoring, and lifecycle management. o Experience with cloud platforms such as AWS, Azure, or GCP. o Strong understanding of software engineering principles, APIs, microservices, Git, testing, and CI/CD. o Strong problem-solving, communication, and technical leadership skills ● Preferred Qualifications o Experience with AWS SageMaker, Bedrock, Azure ML, Vertex AI, or equivalent AI platforms. o Experience with Docker and Kubernetes. o Experience with MLflow, Kubeflow, or similar MLOps platforms. o Experience with LangChain, LlamaIndex, DSPy, or similar AI frameworks. o Experience with agentic AI and AI orchestration. o Experience optimizing AI/LLM inference for latency, throughput, and cost. o Knowledge of model quantization, distillation, batching, caching, and GPU optimization. o Experience working with large-scale datasets and distributed data processing. o Experience building AI platforms or reusable AI/ML components. o Experience leading or mentoring AI/ML engineers. o Experience working in a fast-paced product or technology environment.