DaBrein Solutions will be selecting a Software Engineer skilled in C#, Python, and C++ with experience on Azure, AWS, or Google Cloud.Job PurposeThe 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 ResponsibilitiesDesign, 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.Technical LeadershipProvide guidance on software engineering best practices and architecture.Participate in code reviews and ensure adherence to development standards.Apply solutions to complex technical challenges and support continuous improvement initiatives.RequirementsAnalysis & CollaborationPartner 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.Research & DevelopmentEvaluate 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 & KnowledgeEducation – Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.Experience – 5+ years of professional software development experience.
Demonstrated experience designing and implementing scalable, robust solutions for industrial automation environments.Technical Skills – Expertise architecting and developing complex software systems; strong proficiency in 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 (OpenCV, 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, automated testing.
Experience with SQL and NoSQL databases, data modeling, performance optimization.
Experience working with large datasets, real‐time data streaming, data visualization tools.
Experience with cloud platforms (AWS, Azure, 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.
Proven ability to collaborate effectively in large, integral, cross‐functional teams.Preferred QualificationsMaster's degree in Computer Science, Computer Engineering, or related technical field.Knowledge of industrial communication protocols (Modbus, OPC‐UA, EtherCAT).
Experience integrating with PLCs, SCADA, and HMI systems.
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📌 Machine Learning C#, Python, C++ With Azure (Buenos Aires)
🏢 Dabrein Solutions
📍 Buenos Aires