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DevOps Lead (Remote)

Tandym TechNew York, NY🇺🇸United StatesPosted Oct 12, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
New York, NY, United States
Posted
18 hours ago
AWSMachine LearningSOC 2SnowflakeHIPAATerraform

Job Description


DevOps Lead



A healthcare services organization is looking to hire a DevOps Lead to help shape the infrastructure behind a live enterprise platform.


About the Opportunity:




  • Schedule: Monday to Friday




  • Hours: Standard business




  • Setting: Remote




Responsibilities:




  • Lead the design, deployment, and operational support of a multi-environment AWS platform built on serverless architecture




  • Own infrastructure as code, CI/CD pipelines, and release automation to enable reliable and repeatable delivery




  • Partner with infrastructure, security, and technical teams to support deployments in controlled and regulated environments




  • Establish observability, incident response, on-call practices, and reliability standards as the team grows




  • Set guardrails and operational standards for secure infrastructure changes, including AI-assisted code changes




Qualifications:




  • 8+ years of experience in DevOps, SRE, or infrastructure engineering




  • Strong AWS expertise, including serverless and managed services in production environments




  • Hands-on experience with Terraform and CI/CD automation




  • Experience operating software in environments that require close collaboration with infrastructure and security stakeholders




  • Experience building, hiring, or growing an engineering team or technical practice




Desired Skills:




  • Experience with regulated environments, such as healthcare, pharma, or other compliance-focused industries




  • Familiarity with security and compliance frameworks such as HIPAA, SOC 2, or HITRUST




  • Exposure to data platform tooling such as Glue, Athena, S3 data lake, or Snowflake




  • Experience with PR-driven Terraform workflows such as Atlantis




  • Exposure to SageMaker or other machine learning infrastructure




  • Experience optimizing multi-environment infrastructure costs




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