Senior Platform Engineer with MLOps and Databricks

Ovii's Interpretation of the Role

Senior Platform Engineer driving cloud‑native AI/ML infrastructure, data pipelines, and MLOps on Databricks and AWS. Remote‑first role based in Romania, delivering scalable, observable platforms for enterprise AI.

Role Snapshot

• Senior Platform Engineer
• MLOps specialist
• Databricks & AWS expert
• Remote (Romania)
• Full‑time

Must-Have Requirements

• TypeScript
• Python
• AWS
• CloudFormation
• AWS CDK
• Databricks
• MLflow
• Docker
• CI/CD pipelines
• software engineering
• infrastructure engineering
• AI/ML production infrastructure

Nice-to-Have Signals

• ECS
• DSPy
• OpenSearch
• LLM frameworks
• vector database experience
• financial services
• healthcare
• media
• technology

Work Setup

• Location: Romania, Romania
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: Romania
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Visa sponsorship
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design and maintain a cloud‑native AI platform on Databricks and AWS Bedrock
• Build scalable data pipelines for real‑time and batch ML workloads
• Create infrastructure‑as‑code using CloudFormation and AWS CDK
• Collaborate with AI, data, and platform teams to improve model performance, reliability, and cost‑efficiency
• Implement observability best practices for AI services
• Evolve the platform to support new ML frameworks, LLMs, and retrieval‑augmented generation
• Stay current with emerging tools and recommend architectural improvements

Good Fit If You Have

• Familiarity with emerging LLM frameworks such as DSPy
• Experience with vector stores like OpenSearch for semantic search
• Strong communication and client‑facing presentation skills