W2 - Sr S/w Engineer (Google Cloud, .Net, Cloud Run, Google Cloud Platform Operations Suite, VPCs, Networking) - Remote
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Duties: This position will be joining our platform engineering team in support of our Google Cloud Platform efforts. The scope of the work would be to bring on an individual to support our other cloud engineers on the team in establishing golden pathways for engineering teams to leverage to speed up the time to deploy software to our Google Cloud Platform environments. Specifically, provisioning and deploying backend .NET core services to Google Cloud Run for our client Clinic patient portals.
Required: -Google Cloud Platform experience, specifically Cloud Run, Google Cloud Platform Operations Suite, VPCs, Networking
Preferred:
-Deploying applications from GitHub enterprise to Google Cloud via CI/CD
-Experience with Google Cloud Platform databases and other Google Cloud Platform APIs/services
-Working in an agile environment
-Experience with .NET core applications
-Experience with diagramming Google Cloud and API architectures
-Any Google Cloud Platform certifications would be a plus, not required
Position Overview: (Major Functions and Non-Essential Functions):We are seeking a Senior 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 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.
- 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.
- Contributes to design and architecture discussions with Principals and Architects.
- Leads targeted cross-functional improvement efforts and mentors more junior software engineers.
- Solves complex problems; takes a new perspective on existing solutions.
- Work independently with minimal guidance. You may lead projects or project steps within a broader project or have accountability for ongoing activities or objectives.
- Act as a resource for colleagues with less experience.
Skills: Additional Experience and/or Qualifications: (Has Achieved Competency in the Following Areas, Job Knowledge and Additional Considerations): Preferred qualifications for this position include: master's degree in computer science/Engineering or related field. Ability to use a wide variety of open-source technologies and cloud-based services. Experience writing software for the cloud (Google Cloud Platform, AWS, Azure). Experience in databases, analytics, big data systems or business intelligence products. Experience building high-performance, highly available and scalable distributed systems. Experience developing software for healthcare related industries.
Education: Minimum Education and/or Experience Required: (Education Requirements and Experience):Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience. Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields. 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.
Schedule Notes: This position will be joining our platform engineering team in support of our Google Cloud Platform efforts. The scope of the work would be to bring on an individual to support our other cloud engineers on the team in establishing golden pathways for engineering teams to leverage to speed up the time to deploy software to our Google Cloud Platform environments. Specifically, provisioning and deploying backend .NET core services to Google Cloud Run for our Mayo Clinic patient portals. Required: -Google Cloud Platform experience, specifically Cloud Run, Google Cloud Platform Operations Suite, VPCs, Networking Preferred: -Deploying applications from GitHub enterprise to Google Cloud via CI/CD -Experience with Google Cloud Platform databases and other Google Cloud Platform APIs/services -Working in an agile environment -Experience with .NET core applications -Experience with diagramming Google Cloud and API architectures -Any Google Cloud Platform certifications would be a plus, not required
Education: Minimum Education and/or Experience Required: (Education Requirements and Experience):Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience. Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields. 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.
Schedule Notes: This position will be joining our platform engineering team in support of our Google Cloud Platform efforts. The scope of the work would be to bring on an individual to support our other cloud engineers on the team in establishing golden pathways for engineering teams to leverage to speed up the time to deploy software to our Google Cloud Platform environments. Specifically, provisioning and deploying backend .NET core services to Google Cloud Run for our Mayo Clinic patient portals. Required: -Google Cloud Platform experience, specifically Cloud Run, Google Cloud Platform Operations Suite, VPCs, Networking Preferred: -Deploying applications from GitHub enterprise to Google Cloud via CI/CD -Experience with Google Cloud Platform databases and other Google Cloud Platform APIs/services -Working in an agile environment -Experience with .NET core applications -Experience with diagramming Google Cloud and API architectures -Any Google Cloud Platform certifications would be a plus, not required
Required Skills: GOOGLE CLOUD PLATFORM, .NET,
Additional Skills: CLOUD RUN,
Hours Per Day: 8.00
Hours Per Week: 40.00
Pay range: $67 to $76 per hour on W2.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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