Digital Infrastructure, Cloud & Foundation Services

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California (MO)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago

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Job summary

HARMAN is seeking a senior Platform Engineer to develop and maintain an enterprise AI platform in a hybrid Novi, MI environment. You will build cloud-native solutions, implement MLOps practices, and collaborate with security and architecture teams to enforce governance and reliability.

The role requires 6+ years in platform or cloud engineering, strong experience with Azure/AWS/Kubernetes, and a focus on scalable, secure AI workloads. Travel up to 20% and a background check are required.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
6+ years of experience in platform engineering, cloud engineering, software engineering, or related disciplines
Strong experience developing and operating cloud-native platforms using Microsoft Azure, AWS, or similar enterprise cloud environments
Hands-on experience with MLOps, LLMOps, CI/CD automation, infrastructure-as-code, containerization, and production deployment practices
Strong understanding of platform security, identity and access management, observability, monitoring, and security-by-design principles
Knowledge of data governance, enterprise integration patterns, APIs, and scalable platform architectures supporting AI and data-driven solutions
Willingness to travel 20% of the time
Willingness to work hybrid in the HARMAN Novi, MI office 3+ days a week
Successful completion of a background investigation and drug screen required
Nice-to-have: experience supporting enterprise AI platforms, agent-based systems, RAG, or generative AI workloads
Nice-to-have: certifications in Azure, AWS, Kubernetes, DevOps, Security, or related cloud technologies
Nice-to-have: experience with vector databases, AI orchestration frameworks, model serving platforms, and modern AI development ecosystems
Nice-to-have: experience working in large, global organizations with distributed engineering and operations teams

Responsibilities

Develop, deploy, and maintain enterprise AI platform components, services, APIs, and integrations
Execute platform architecture designs and implement reusable platform capabilities aligned with enterprise standards and reference architectures
Build and maintain CI/CD pipelines, automation frameworks, and deployment processes supporting AI workloads and platform services
Perform testing, validation, and operational readiness assessments for platform modules, services, and integrations
Implement and support MLOps and LLMOps processes, including model deployment, monitoring, versioning, lifecycle management, and operational governance
Ensure platform solutions meet enterprise requirements for security, scalability, reliability, observability, and performance
Collaborate with data, security, and architecture teams to implement governance controls, access management, and compliance requirements
Monitor platform health, troubleshoot production issues, optimize performance, and drive continuous operational improvements
Contribute to platform documentation, technical standards, reusable assets, and engineering best practices
Evaluate emerging technologies and recommend enhancements that improve platform capabilities and developer experience
Collaborate with AI architects, platform engineers, product owners, security teams, data engineers, and application developers to build, operate, and continuously improve HARMAN’s enterprise AI platform ecosystem

Skills

MLOps

LLMOps

CI/CD Automation

Infrastructure as Code

Containerization

APIs

Data Governance

Platform Architecture

Production Deployment

Observability

Education

Bachelor’s degree

Tools

Microsoft Azure

AWS

Kubernetes

DevOps

Vector Databases

AI Orchestration Frameworks

Model Serving Platforms

Job description

Develop, deploy, and maintain enterprise AI platform components, services, APIs, and integrations
Execute platform architecture designs and implement reusable platform capabilities aligned with enterprise standards and reference architectures
Build and maintain CI/CD pipelines, automation frameworks, and deployment processes supporting AI workloads and platform services
Perform testing, validation, and operational readiness assessments for platform modules, services, and integrations
Implement and support MLOps and LLMOps processes, including model deployment, monitoring, versioning, lifecycle management, and operational governance
Ensure platform solutions meet enterprise requirements for security, scalability, reliability, observability, and performance
Collaborate with data, security, and architecture teams to implement governance controls, access management, and compliance requirements
Monitor platform health, troubleshoot production issues, optimize performance, and drive continuous operational improvements
Contribute to platform documentation, technical standards, reusable assets, and engineering best practices
Evaluate emerging technologies and recommend enhancements that improve platform capabilities and developer experience
Collaborate with AI architects, platform engineers, product owners, security teams, data engineers, and application developers to build, operate, and continuously improve HARMAN’s enterprise AI platform ecosystem

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
6+ years of experience in platform engineering, cloud engineering, software engineering, or related disciplines
Strong experience developing and operating cloud-native platforms using Microsoft Azure, AWS, or similar enterprise cloud environments
Hands‑on experience with MLOps, LLMOps, CI/CD automation, infrastructure‑as‑code, containerization, and production deployment practices
Strong understanding of platform security, identity and access management, observability, monitoring, and security‑by‑design principles
Knowledge of data governance, enterprise integration patterns, APIs, and scalable platform architectures supporting AI and data‑driven solutions
Willingness to travel 20% of the time
Willingness to work hybrid in the HARMAN Novi, MI office 3+ days a week
Successful completion of a background investigation and drug screen required for employment
Nice‑to‑have: experience supporting enterprise AI platforms, agent‑based systems, RAG, or generative AI workloads
Nice‑to‑have: certifications in Azure, AWS, Kubernetes, DevOps, Security, or related cloud technologies
Nice‑to‑have: experience with vector databases, AI orchestration frameworks, model serving platforms, and modern AI development ecosystems
Nice‑to‑have: experience working in large, global organizations with distributed engineering and operations teams

Core Competencies

Demonstrates expertise in developing and maintaining enterprise AI platforms, with a strong focus on MLOps, CI/CD automation, and cloud‑native environments. Proficient in ensuring platform security, scalability, and performance while collaborating with cross‑functional teams to drive continuous improvements.

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