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W2 - (2) - Software Engineer (Google Cloud Platform, Vertex AI, Python, Terraform, ADO, CI/CD, [...]

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Minnesota

Remote

USD 80,000 - 100,000

Full time

4 days ago

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Job summary

A leading tech company is seeking a Software Engineer for their AI Factory team, specializing in the design and development of data-centric applications on Google Cloud Platform. The role involves working on backend services, cloud computing technologies, and engaging in DevOps practices to support clinical and analytic functions. Candidates should possess a Bachelor's degree and experience with languages such as Python and Terraform.

Benefits

Laptop provided by the worker (Mac preferred)

Chromebook provided by client

Qualifications

Minimum 1-2 years experience with high-level languages (C, C++, Java, Golang).
Experience with Agile software development techniques.
Demonstrated problem solving and time management skills.

Responsibilities

Design and build back-end services for data-centric applications.
Engage in programming and deployment automation within a cloud environment.
Collaborate with teams to develop applications for healthcare-related projects.

Skills

Google Cloud Platform

Terraform

Python

Azure DevOps

AI / Machine Learning concepts

Bash

Testing / Automated Testing

Education

Bachelor's Degree in Computer Science/Engineering or related field

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tanson Corp, is seeking the following. Apply via Dice today!

Duties: Position Overview: (Major Functions and Non-Essential Functions): Client Clinic 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 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.

This position is for a software engineer on the AI Factory team. AI Factory is cloud-based environment hosted on Google Cloud Platform that enables physicians and researchers to host their AI projects. The AI Factory team is responsible for developing and supporting the AI Factory environment on Google Cloud Platform. This entails enabling Google features and capabilities.

Skills:

Google Cloud Platform -> Vertex AI, Compute Engine, Storage, BigQuery, Cloud Run, Security, Networking, Provisioning (Required)
Terraform (Required)
Python (Required)
Azure DevOps -> CI/CD, Pipelines (Required)
AI / Machine Learning concepts (Required)
Bash (Preferred)
Testing / Automated Testing (Preferred)
Google professional certifications (Data Engineer, Architect, etc.) (Preferred)

100% remote; Laptop provided by the worker (Mac preferred, if needed client can provide a macbook) Chromebook will be provided by client.

Skills: Additional Experience and/or Qualifications: (Has Achieved Competency in the Following Areas, Job Knowledge and Additional Considerations): Preferred qualifications for this position include:

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: Minimum Education and/or Experience Required: (Education Requirements and Experience): 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.

Schedule Notes: This position is for a software engineer on the AI Factory team. AI Factory is cloud-based environment hosted on Google Cloud Platform that enables physicians and researchers to host their AI projects. The AI Factory team is responsible for developing and supporting the AI Factory environment on Google Cloud Platform. This entails enabling Google features and capabilities. Skills: Google Cloud Platform -> Vertex AI, Compute Engine, Storage, BigQuery, Cloud Run, Security, Networking, Provisioning (Required) Terraform (Required) Python (Required) Azure DevOps -> CI/CD, Pipelines (Required) AI / Machine Learning concepts (Required) Bash (Preferred) Testing / Automated Testing (Preferred) Google professional certifications (Data Engineer, Architect, etc.) (Preferred) 100% remote; Laptop provided by the worker (Mac preferred, if needed Mayo can provide a MacBook) Chromebook will be provided by Mayo.

Hours Per Day: 8.00

Hours Per Week: 40.00

Pay rate: $60/hr on W2.

Seniority level

Seniority level
Entry level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Software Development

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