Senior DevOps Engineer / Hybrid / Boston, MA

Boston, MA, US • Posted 30+ days ago • Updated 7 hours ago
Full Time
On-site
$180000 - $220000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • DevOps
  • Mergers and Acquisitions
  • Machine Learning Operations (ML Ops)
  • Innovation
  • Research
  • Software Engineering
  • Artificial Intelligence
  • Lifecycle Management
  • Docker
  • Cloud Computing
  • Real-time
  • Machine Learning (ML)
  • Orchestration
  • Optimization
  • Analytics
  • Vector Databases
  • Semantic Search
  • Amazon Web Services
  • Databricks
  • Python
  • TypeScript
  • Continuous Integration
  • Continuous Delivery
  • Management
  • Collaboration

Summary

This is a full-time hybrid opportunity with a rapidly growing Scientific Data & AI company building next generation cloud native platforms for large scale AI/ML workloads. You'll work with modern technologies across AWS, Databricks, and advanced MLOps tooling to help power AI driven scientific innovation.

This role is ideal for someone who loves architecting scalable AI infrastructure and wants to influence a cutting-edge platform used by global scientific and data teams. You'll join a highly collaborative engineering culture where you can grow your cloud, ML, and LLM systems expertise while shaping the future of AI powered research.

Required Skills & Experience
7+ years in software engineering or infrastructure engineering
Strong AWS expertise and experience with IaC (CDK or CloudFormation)
Production experience with AI/ML infrastructure and model lifecycle management
Expert level Python and TypeScript
Hands on experience with Databricks MLflow (model registry, versioning, serving)
Strong understanding of Docker, CI/CD, and cloud native backend services
Ability to design scalable, secure systems for real time and batch ML workloads
Desired Skills & Experience
Familiarity with LLM orchestration frameworks (e.g., DSPy)
Experience with LLM cost/latency optimization and usage analytics
Knowledge of vector databases or embedding stores (e.g., OpenSearch)
Experience integrating LLMs into production systems (RAG, semantic search)

What You Will Be Doing
Tech Breakdown
70% AWS, Databricks, MLflow, IaC
30% Backend services (Python/TypeScript), containerization, CI/CD
Daily Responsibilities
80% Hands On Engineering
0% Management Duties
20% Team Collaboration
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 867929
  • Posted 30+ days ago
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