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Cloud Engineer - Rochester, United States - Performix
Description
• Design, develop, and consume APIs to facilitate communication between different software components.
• Implement Test Driven Development (TDD) practices to ensure the quality and reliability of the software.
• Create and maintain automated tests and unit tests to support continuous integration and deployment processes.
• Work collaboratively with cross-functional teams to integrate automation solutions into existing systems.
• Participate in the full software development lifecycle, including planning, development, testing, deployment, and maintenance.
Qualifications:
• Proficiency in Google Cloud Platform and Python programming.
• Strong experience with API development and consumption.
• Familiarity with Test Driven Development (TDD) and automated testing frameworks.
• Experience with DevOps practices in Google Cloud Platform and Azure DevOps.
• Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
Desired Skills:
• Experience with content management systems (AEM) and data storage solutions.
• Knowledge of additional programming languages and frameworks is a plus.
• Strong communication and collaboration skills.
• A passion for learning and staying up-to-date with the latest industry trends and technologies.
Position Overview:
• Client is seeking a Software 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.
• Our Software Engineers ensure that these cloud-based microservices 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.
Skills:
• Ability to use a wide variety of open-source technologies and cloud-based services. Experience with Google and Azure cloud environments
• Experience in databases, analytics, big data systems or business intelligence products
• Experience with building high-performance, highly available and scalable distributed systems.
• Experience developing software for healthcare related industries.
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:
• Python
• Google Cloud
• API
