Databricks MLOps Engineer - Cloud-Native AI Platform Lead

Solvd; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Solvd is seeking a Databricks MLOps Engineer in the United States to design, build, and operate cloud-native infrastructure powering AI and data workloads at scale. You’ll work at the intersection of platform engineering and AI, building pipelines, deployment workflows, and observability layers for production-grade ML systems.

You will write infrastructure-as-code, craft data pipelines, integrate LLMs into production, and collaborate with AI and data engineers to ensure platform reliability and

Qualifications

• 7+ years of professional experience in software and infrastructure engineering.
• Extensive experience building and maintaining AI/ML infrastructure in production — model deployment, lifecycle management, and serving workflows.
• Production-level experience with Databricks and MLflow — model registration, versioning, asset bundles, and serving.
• Strong knowledge of AWS and infrastructure-as-code, with AWS CDK experience specifically.
• Expert-level coding skills in Python and TypeScript — building robust APIs and backend services.
• Strong understanding of containerization with Docker and hands-on CI/CD pipeline experience.
• Proven ability to design reliable, secure, and scalable infrastructure for real-time and batch ML workloads.

Responsibilities

• Design, implement, and maintain a cloud-native platform to support AI and data workloads, with a focus on Databricks and AWS Bedrock.
• Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics use cases.
• Develop infrastructure-as-code using CloudFormation and AWS CDK to ensure repeatable, secure deployments.
• Integrate AI models and LLMs into production systems, including RAG architectures and model serving workflows.
• Drive observability best practices — monitoring, alerting, and logging across AI platforms.
• Collaborate with AI engineers, data engineers, and platform teams to improve performance, reliability, and cost-efficiency of models in production.
• Contribute to the design and evolution of the AI platform to support new ML frameworks, workflows, and data types.
• Stay current with emerging tooling and recommend improvements to architecture and operations.

Skills

Databricks

MLflow

Python

TypeScript

CI/CD

MLOps

Distributed systems

Tools

AWS CDK

Docker

ECS

OpenSearch

Job description

Solvd is seeking a Databricks MLOps Engineer in the United States to design, build, and operate cloud-native infrastructure powering AI and data workloads at scale. You’ll work at the intersection of platform engineering and AI, building pipelines, deployment workflows, and observability layers for production-grade ML systems.

You will write infrastructure-as-code, craft data pipelines, integrate LLMs into production, and collaborate with AI and data engineers to ensure platform reliability and