Site Reliability Engineer ll

Cohere Health
$100,000 - $110,000Remote

About The Position

This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. We are seeking an operational-focused Site Reliability Engineer (SRE) to maximize the availability, performance, and resilience of our production healthcare systems. In this role, you will bridge the gap between AWS cloud infrastructure, MERN stack applications, and large-scale data workflows. You will spend roughly 60% of your time on live incident remediation, data pipeline operations, and Node.js/Python infrastructure tuning, and 40% on engineering automated solutions to eliminate operational toil.

Requirements

  • Minimum of 3+ years of hands-on experience operating multi-tenant, cloud-hosted, or cloud-native SaaS platforms at scale.
  • Deep expertise operating AWS core services, specifically AWS Lambda, Amazon ECS/EKS, Amazon EMR or AWS Glue (for Spark), EC2, VPC networking, IAM permissions, and CloudWatch.
  • Professional competency in writing, debugging, and maintaining automation scripts and data tools using Python (including PySpark APIs) and Node.js.
  • Experience managing and troubleshooting distributed data orchestration pipelines, ETL tools, message queues (e.g., AWS SQS/SNS, RabbitMQ), or stream processing frameworks.
  • Deep understanding of the operational lifecycle of JavaScript/TypeScript applications, including memory management, asynchronous runtimes, and Node.js clustering.
  • Practical experience managing, sharding, indexing, and optimizing production-grade MySQL DB & Athena (RDS or self-hosted).
  • Proven ability to deploy and maintain immutable infrastructure utilizing Terraform or OpenTofu.
  • Minimum 1 year working within HIPAA-regulated environments.

Nice To Haves

  • Direct experience securing data-at-rest and data-in-transit containing sensitive patient records is preferred.
  • Minimum of 4 years of software/systems experience, with at least 1-2 years focused on live cloud operations and distributed data workflow management is preferred.
  • Calm under pressure with a methodical approach to identifying and isolating PySpark driver OOM (Out of Memory) errors or data corruption during high-stress outages. Attention to detail and effective communications skills will be critical in working with clients and internal stakeholders is preferred.

Responsibilities

  • Maintain the continuous uptime, scalability, and security of our AWS-hosted MERN applications and backend data architectures.
  • Manage, optimize, and troubleshoot event-driven architectures running on AWS Lambda, focusing on cold-start mitigation, memory allocation, and execution timeouts.
  • Monitor scheduled PySpark data workflows, execute standard operating procedures (SOPs) for large-scale data ingestion, and rapidly triage, rerun, or patch failed data processing jobs.
  • Participate in a collaborative on-call rotation to rapidly triage, debug, and mitigate live application outages and data flow bottlenecks.
  • Maintain strict HIPAA, SOC2, and HITRUST compliance profiles across all runtime environments, storage systems, and data pipelines handling Protected Health Information (PHI).
  • Engineer automated workflows to eliminate repetitive tasks like manual data seeding, infrastructure provisioning, and routine PySpark pipeline recovery steps.
  • Build specialized dashboards and alerts to monitor Node.js event loops, PySpark job execution stages, driver/worker memory leaks, and data pipeline throughput anomalies.
  • Lead blameless post-mortems for operational and data processing failures, translating system crashes into permanent structural fixes.

Benefits

  • Medical, dental, vision, life, disability insurance, and Employee Assistance Program
  • 401K retirement plan with company match; flexible spending and health savings account
  • Flex Time Off + company holidays
  • Up to 14 weeks of paid parental leave
  • Pet insurance
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service