DaBrein Solutions will be selecting a Software Engineer C#, Python, C++ with experience on Azure, AWS or GCP. The Software Engineer will design, develop, and implement software applications that support and enhance industrial automation systems. This role will collaborate closely with multidisciplinary engineering teams to deliver scalable, reliable, and high performance automation solutions that enable operational efficiency across reverse logistics environments. Primary Responsibilities 1 - Software Development • Design, develop, implement, debug, and document new and existing software applications for industrial automation systems. • Integrate specialized automation technologies including machine vision, data processing, and machine learning. • Develop reporting, visualization, and data driven tools to support operational decision-making. • Build scalable and reliable deployable libraries and tools to support reverse logistics operations. 2 - Technical Leadership • Provide guidance on software engineering best practices and architecture. • Participate in code reviews and ensure adherence to development standards. • Solve complex technical challenges and support continuous improvement initiatives. 3 - Requirements Analysis & Collaboration • Partner with project managers, automation engineers, and cross functional stakeholders to translate business and technical requirements into clear specifications. • Support scoping, planning, and prioritization of automation projects. 4 - Research & Development • Evaluate emerging technologies, frameworks, and tools relevant to industrial automation. • Develop prototypes and proof of concepts to expand the team’s technical capabilities and internal tool library. Required Experience, Skills & Knowledge • Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. • 5+ years of professional software development experience. • Demonstrated experience designing and implementing scalable, robust solutions for industrial automation environments. • Expertise architecting and developing complex software systems and selecting appropriate technologies. • Strong proficiency in programming languages such as C++, Python, and C#, with solid understanding of software engineering principles. • Experience designing and integrating RESTful and/or GraphQL APIs. • Familiarity with machine vision technologies, including tools like OpenCV and hardware integration. • Experience developing or integrating machine learning models for real time industrial applications (TensorFlow, PyTorch a plus). • Knowledge of DevOps practices, CI/CD pipelines, and automated testing. • Experience with SQL and NoSQL databases, data modeling, and performance optimization. • Experience working with large datasets, real time data streaming, and data visualization tools. • Experience with cloud platforms (AWS, Azure, or Google Cloud) and cloud native architectures. • Understanding of microservices and container technologies such as Docker and Kubernetes. Leadership & Soft Skills • Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse stakeholders. • Strong analytical and problem solving abilities to handle challenging real time automation scenarios. • Proven ability to collaborate effectively in large, global, cross functional teams. Preferred Qualifications • Master’s degree in Computer Science, Computer Engineering, or related technical field. • Knowledge of industrial communication protocols (e.g., Modbus, OPC-UA, EtherCAT). • Experience integrating with PLCs, SCADA, and HMI systems.
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DaBrein Solutions will be selecting a Software Engineer C#, Python, C++ with experience on Azure, AWS or GCP. The Software Engi... ver más
2026-06-19
About Us: At Fabric we provide the entertainment industry with the worlds best data and operations solutions, helping them to connect people with the content that they love. Since Fabric’s inception we have been intensely focused on bringing clarity and unity to the media supply chain, and providing the crucial source-of-truth that is the bedrock for any data-driven enterprise. Today Fabric is a market leader in scheduling, metadata management and content data, with a wealth of integrations, partnerships and experience with organizations across the entirety of the media and entertainment ecosystem. The Opportunity Are you passionate about designing and building the future of AI-driven applications? We are seeking a highly skilled and hands-on Senior AI Cloud Architect to lead our Generative AI initiatives. This is a critical role where you will have the autonomy to architect, build, and scale our next generation of AI solutions on AWS. You will be the go-to expert for our engineering teams, establishing best practices and guiding the implementation of sophisticated, agentic AI workflows across our core product suite, including our Xytech, Studio +, and Origin platforms. If you are a builder who loves to solve complex problems and wants to make a tangible impact, this is the role for you. Responsibilities • Design and implement scalable and secure architectures on AWS (Lambda, EC2, S3, IAM, among others). • Lead the technical design and integration of Generative AI capabilities into Fabric’s products. • Develop proofs of concept and production-ready solutions using AWS AI/ML tools (SageMaker, Bedrock, etc.). • Define architecture standards and best practices in collaboration with technical and product teams. • Mentor other engineers and contribute to the team’s overall technical growth. • Evaluate new technologies in the AI/ML and GenAI space to drive continuous innovation. Required Qualifications & Skills • Proven hands-on experience with Generative AI technologies (e.g., LLMs, RAG, agentic systems, LangChain, or similar frameworks). • 4+ years of experience in software engineering or cloud architecture. • At least 2 years of practical experience designing and implementing AWS-based solutions. • Strong proficiency in Python. • Experience with AWS AI/ML services (SageMaker, Bedrock, or similar). • Deep understanding of architecture principles, scalability, and automation. • Excellent communication skills in English (both verbal and written). • Proactive, curious, and collaborative mindset. Preferred Qualifications • Experience with MLOps or data engineering tools (Glue, Kinesis). • AWS Certifications (Solutions Architect – Professional or Machine Learning Specialty). • Experience leading distributed or international teams. Employment and work modality: Full-time, permanent position, Monday to Friday from 8 a.m. to 5 p.m. (flex time)
About Us: At Fabric we provide the entertainment industry with the worlds best data and operations solutions, helping them t... ver más
2025-11-05
