Platform Engineer

The Platform Engineer is responsible for designing, automating, governing, and optimizing the technical platforms, environments, and infrastructure supporting software implementations.

The role leverages AI-assisted platform operations, automation, predictive monitoring, and intelligent infrastructure management to improve scalability, consistency, and operational reliability.

To ensure intelligent, automated, secure, and scalable platform operations across the implementation lifecycle.

Platform Engineering

• →Design implementation environments
• →Define infrastructure architecture standards
• →Govern platform configuration standards
• →Support deployment and operational readiness

AI-Assisted Platform Operations

• →Leverage AI-assisted environment provisioning
• →Utilize predictive operational monitoring
• →Implement intelligent platform automation
• →Govern AI-powered operational recommendations

Infrastructure Automation

• →Develop Infrastructure-as-Code practices
• →Automate environment lifecycle management
• →Standardize deployment processes
• →Improve operational consistency

Platform Governance

• →Ensure platform security compliance
• →Monitor operational performance
• →Govern platform standards
• →Manage platform resilience strategies

Operational Intelligence

• →Utilize predictive performance analytics
• →Leverage AI-powered monitoring tools
• →Proactively identify operational risks
• →Optimize platform performance

Platform Expertise

• Infrastructure management
• Cloud technologies
• Platform architecture
• Security and compliance
• Performance management

Platform Intelligence

• AI-assisted operations
• Intelligent monitoring
• Predictive analytics
• Infrastructure automation
• Operational governance

Engineering Practices

• Infrastructure-as-Code
• Automation frameworks
• Platform resilience
• Continuous improvement
• Operational excellence

• Environment provisioning speed
• Platform reliability
• Automation adoption
• Infrastructure consistency
• Operational efficiency
• Security compliance
• Customer deployment success

InterSystems, a creative data technology provider, delivers a unified foundation for next-generation applications for healthcare, finance, manufacturing, and supply chain customers in more than 80 countries. Our data platforms solve interoperability, speed, and scalability problems for large organizations around the globe to unlock the power of data and allow people to perceive data in imaginative ways. Established in 1978, InterSystems is committed to excellence through its 24×7 support for customers and partners around the world. Privately held and headquartered in Boston, Massachusetts, InterSystems has 38 offices in 28 countries worldwide. For more information, please visit InterSystems.com.

InterSystems may use AI tools for its internal operations including administrative tasks during recruitment (e.g., organizing candidate information).  InterSystems’ approach to AI is guided by the InterSystems Responsible AI Guidelines. AI is not used to make or influence hiring decisions. All decisions are made by InterSystems employees.

Candidates may use AI for CV or interview preparation, provided materials are truthful and reflect their own experience.  AI tools and third-party transcription services must not be used during interviews or assessments.