Automation Engineer

at  Da Vinci Software

OVERVIEW

Our client is seeking an Automation Engineer to design and build back-end services that support our portfolio of data-centric clinical and analytic applications. These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks.

Responsibilities:

• Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase.
• They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.
• Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
• Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning.
• Participate in DevOps, Agile, continuous development and integration frameworks.
• Programming in high-level languages such as Go, Python, Java etc. Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model.
• Ensure all appropriate documentation of processes and source code is created and maintained.
• Communicate effectively with peers, leaders, and customers throughout the organization.
• Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation.
• Continues to build knowledge of the organization, processes and customers.
• Performs a range of mainly straightforward assignments.
• Uses prescribed guidelines or policies to analyze and resolve problems.
• Receives a moderate level of guidance and direction.

EDUCATION:

• Bachelor’s Degree in Computer Science/Engineering or related field.
• Have working knowledge and experience of Software Engineering with a minimum of internships and a minimum of 1 yr. of experience, or 2yrs of experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.).
• Demonstrated problem solving and time management skills.
• Possesses strong technical aptitude for designing and implementing software solutions.
• Experience with modern application development frameworks
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Deep hands-on technical expertise, excellent verbal and written communication skills.
• Experience with Agile software development techniques.

Required Skills/Experience:

• At least 5 years of experience in automation design and architecture using RPA tools, low-code/no-code platforms, and scripting languages.
• Strong hands-on experience with Power Automate for designing and implementing complex automated workflows, including the use of connectors, custom actions, and error handling.
• Familiarity with AI Builder and its capabilities for incorporating AI into automation processes.
• Deep understanding and experience with Microsoft Copilot Agents and Copilot Studio:
• Conversational Design: Experience designing and implementing conversational flows within Copilot Studio, including user intents, entities, dialog management, and context handling.
• Knowledge Base Integration: Ability to connect Copilot Agents to knowledge bases and data sources to provide accurate and relevant information to users.
• AI Capabilities: Leveraging AI capabilities like natural language understanding (NLU), sentiment analysis, and language generation to enhance the agent’s responses and interactions.
• Agent Customization: Skills in customizing the agent’s appearance, personality, and voice to align with brand guidelines and user expectations.
• Testing and Optimization: Experience with testing and refining Copilot Agent performance, including A/B testing, user feedback analysis, and continuous improvement.
• Security and Ethical Considerations: Understanding of security and ethical considerations related to AI-powered conversational agents, including data privacy, bias mitigation, and responsible AI development.
• Experience in designing and architecting automation solutions for the healthcare industry is highly desired.
• Experience in integrating automation solutions with various systems and applications using APIs, web services, databases, etc.
• Experience in documenting and maintaining the automation architecture, design, and code.
• Experience in training and mentoring the automation developers and testers on the best practices and standards of automation development.
• Excellent communication, collaboration, and problem-solving skills.
• Certification in automation tools, low-code/no-code platforms, or scripting languages is a plus.

• Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase.
• They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.
• Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
• Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning.
• Participate in DevOps, Agile, continuous development and integration frameworks.
• Programming in high-level languages such as Go, Python, Java etc. Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model.
• Ensure all appropriate documentation of processes and source code is created and maintained.
• Communicate effectively with peers, leaders, and customers throughout the organization.
• Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation.
• Continues to build knowledge of the organization, processes and customers.
• Performs a range of mainly straightforward assignments.
• Uses prescribed guidelines or policies to analyze and resolve problems.
• Receives a moderate level of guidance and direction