Lead Software Engineer -Google Cloud Developer

Job Description

Leads team members to provide direct input to the overall engineering process and to team meetings. Coordinates within a team environment which is essential to work on various aspects of the platform and products, as is a devotion of collaboration to problem solve, design sophistically, and increase product quality.

Job Responsibility

• Leads the design and development of solutions to various problems either independently or in a team environment; designs and maintains efficient code that is reliable.
• Guides the creation of technical documents such as a design specification document.
• Ensures applications are performing at high capacity, responsiveness, and quality.
• Finds solutions to reduce issues and defects.
• Maintains that the platform's code and data are organized, automated, and of high quality.
• Guides junior team personnel by recommending software design and development opportunities/best practices.
• Employees use knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial.
• Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial.
• Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions.

Job Qualification

• Bachelor's Degree required, or equivalent combination of education and related experience.
• 5-7 years of relevant experience and progressive experience where team leadership was demonstrated, required.

Preferences:

• Experience with one or more cloud platforms (GCP, Azure, or AWS).
• Proficiency in cloud development technologies (e.g., Kubernetes, Docker, serverless architectures).
• Experience in building and managing scalable cloud-based data pipelines for large datasets.
• Strong programming skills in Python, R, or other data science-focused languages.
• Experience with advanced analytics tools (e.g., Pandas, Scikit-learn) and data processing frameworks (e.g., Apache Beam, Hadoop).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and deploying models in the cloud.
• Familiarity with healthcare-related compliance requirements (HIPAA, HITRUST).
• Knowledge of cloud security best practices for handling sensitive data.
• Experience with CI/CD tools for automated cloud deployment (Jenkins, GitLab CI, etc.).
• Familiarity with infrastructure as code (Terraform, CloudFormation).
• Strong troubleshooting and problem-solving skills in cloud infrastructure and data processing.
• Experience with API management and microservices architecture in a cloud environment.
• Experience with Google Cloud Platform (GCP) services like BigQuery, Vertex AI, or Dataflow is a strong plus.

*Additional Salary Detail
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).