Sr. Azure Platform Engineer

Company Description

At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.

As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.

Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.

Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.

Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.

Job Description

We need a skilled Senior Azure cloud platform engineer to join our team. You'll design, implement, and manage infrastructure on Azure. Work with development teams to deploy and manage Azure AI/ML/Cognitive services environments effectively.

Roles and Responsibilities:

• Infrastructure as Code (IaC)
• Design, implement, and manage infrastructure using Terraform, Bicep, and ARM templates.
• Develop and maintain Terraform modules for reusable infrastructure components in Gitlab.
• Must have worked on APIM, Azure Functions, App Insight, Azure Webapps, Azure monitoring, Azure Sentinel, Event Grid, Azure Bus services.
• Knowledge of Python and PowerShell for scripting and automation tasks.
• Knowledge of network protocols such as DNS, SMTP, SNMP, SSH, SFTP etc.
• Deep dive knowledge into Azure Compute services, Database services, Networking, Storage, and PAAS services.
• Work with Azure Data Bricks, Azure Data Lake, and Azure Storage for data-related infrastructure requirements.
• Monitor and optimize the performance, scalability, and reliability of our Azure enterprise application pipeline and underlying architecture.
• Troubleshoot and resolve issues related to Azure infrastructure and services.
• Ensure security and compliance standards are met.
• Work closely with Data Owners and custodians to ensure Intuitive data governance polices are met.
• Document cloud architectures, procedures, and processes related to infrastructure and application deployments.
• Support Azure Cognitive Services e.g., LLM, GenAI, Machine Learning Computer Vision, Translation Services pipelines.
• Stay up to date with the latest Azure platform updates and best practices for Generative AI.
• Work closely with GenAI team to ensure release goals are met.

Qualifications

Skill/Job Requirements:

• Bachelor’s degree in computer science, Engineering, or a related field or 12 years of relative experience.
• Proven experience in designing, deploying, and managing Azure infrastructure and services.
• Experience with Azure Cognitive Services e.g., LLM, GenAI, Machine Learning Computer Vision, Translation Services pipelines is a plus.
• Proficiency in programming languages such as Python and PowerShell.
• Experience with supporting Azure API Manager, Key Vault, Application gateway and Microsoft Networking.
• Similar platform experience with AWS and GCP a huge plus.
• Excellent problem-solving and troubleshooting skills.
• Proven communication and collaboration skills.
• Ability to work autonomously and in a team-oriented environment.
• Exceptional networking knowledge and experience is highly desired.
• Experience working with virtualization Platforms as VMWare, Nutanix is a huge plus.
• Azure certifications (e.g., Azure Administrator, Azure AI Engineer) are a plus.
• Experience with Gitlab and Jenkins is huge plus.
• Experience with using Azure DevOps services like Azure Pipelines, Repos, and Artifacts is beneficial for CI/CD pipelines.
• Experience using Docker and creating Docker images for deployment is a plus.
• Experience managing container orchestration and scaling using Kubernetes is a plus.
• Must be based within a commutable distance from our Sunnyvale office location and able to work onsite in our Sunnyvale office Tuesday, Wednesday, and Thursday every week.

Working Conditions

• None
   

#LI-Hybrid

Additional Information

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Employment Opportunity / Affirmative Action Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.

EEO and AA Policy

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.

We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target salary ranges are listed.