HuLoop is an AI-powered, no-code intelligent automation platform designed to help businesses automate complex processes and improve productivity. It features a human-in-the-loop approach, allowing for collaboration between humans and AI. The platform offers solutions for Intelligent Productivity Discovery, Intelligent Process Automation, and Intelligent Test Automation, enabling businesses to diagnose processes, automate them, and validate results. HuLoop serves various industries, including retail, distribution, banking, and software development, boasting over 250,000 processes automated and promising significant cost reductions and productivity improvements.
• ai-powered
• fast deployment
• human-in-the-loop
• no-code
• significant financial benefits
• works with existing technologies
• unified intelligent automation solution
• intelligent productivity discovery, intelligent process automation, intelligent test automation
Senior Software Engineer/Architect
HuLoop is an AI-powered, no-code platform for intelligent automation, offering solutions for productivity discovery, process automation, and test automation.
Benefits:
Medical
Dental
Vision
Paid vacation
Holidays
Education Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
Experience Requirements:
7+ years of professional software development experience, with at least 3 years in an architectural role
Other Requirements:
Proficiency in Java development, with experience in frameworks such as Spring or Dropwizard
Hands-on experience working with MongoDB preferred
Solid understanding of cloud-based architectures on Azure, including containerization (Docker, Kubernetes) and serverless computing
Strong communication and collaboration abilities
Proven leadership and mentorship skills
Comfort with a hybrid work environment
Experience working in an Agile/Scrum environment
Proactive mindset
Responsibilities:
Define, design, and drive the architectural roadmap
Establish best practices for microservices
Write, review, and optimize code using Java
Collaborate with DevOps engineers to refine deployment processes
Work closely with product managers, data scientists, and fellow engineers to translate business requirements into technical solutions
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