Own the production ML lifecycle — deployment, monitoring, scaling, retraining, and reliability of models in production
Design and maintain CI/CD pipelines for applications, infrastructure, data, and ML artifacts using AWS and GitHub Actions
Build and operate cloud data infrastructure using infrastructure-as-code (Terraform, CDK) with a focus on security, scalability, and compliance
Develop and maintain data ingestion and transformation pipelines across structured and semi-structured sources (APIs, files, healthcare data)
Partner with data science and analytics to ensure high-quality, well-modeled data in Snowflake using dbt and modern ELT tooling
Implement observability and monitoring across services, data pipelines, and ML models (drift, performance, failures)
Support regulated workloads (HIPAA / PHI) with strong data and model governance practices
Contribute to technical roadmap, documentation, and engineering best practices across ML, infra, and data

Requirements

6–8+ years of experience across DevOps, MLOps, and/or Data Engineering
Deep experience with AWS (SageMaker, ECS/EKS, Lambda, ECR, CloudWatch, Step Functions)
Strong hands-on experience with:
Infrastructure as Code (Terraform, AWS CDK)
CI/CD (GitHub Actions preferred)
Containers & orchestration (Docker, ECS/Kubernetes)
Advanced SQL and Python skills for data pipelines, automation, and ML workflows
Experience with modern data stacks (Snowflake, dbt, Airbyte or similar)
Comfort working cross-functionally in a fast-moving, startup environment.

Benefits

Competitive salary, equity grant, generous paid time off
Comprehensive benefits package including medical, dental & vision insurance with 100% of monthly premium covered for employees
Company-sponsored 401k plan

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

ML lifecycleCI/CDinfrastructure-as-codeTerraformAWS CDKdata ingestiondata transformationSQLPythondata pipelines

cross-functional collaborationcommunicationproblem-solvingadaptabilityteamwork