Staff Site Reliability Engineer, AWS, Databases

🔥 14 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 12%

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OpenLoop

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

💼 Consulting

⚖️ Legal

📦 Logistics

💰 $15M Series A - OpenLoop Health on 2023-03

Consulting • Legal • Logistics

OpenLoop is a white-label telehealth platform and managed services provider that helps organizations launch and scale virtual care programs. It combines SaaS-based, brandable technology (scheduling, booking, payments, EHR/API integrations) with clinical staffing, credentialing, payer coverage and RCM, regulatory/legal support, and 24/7 patient support. OpenLoop serves health plans, hospitals and health systems, retailers, employers and digital health companies with AI-powered operations, a nationwide clinician network and broad insurance coverage including Medicare and Medicaid.

📋 Description

• Architect and manage AWS services including EC2, VPC, S3, IAM, Lambda, and EKS or ECS for high-availability systems • Support infrastructure on Google Cloud using Cloud SQL, GKE, and BigQuery • Design, run, and tune Amazon Aurora, RDS, DynamoDB, and Google Cloud SQL databases • Manage high-availability setups, read replicas, backups, point-in-time recovery, and failover testing • Resolve slow queries, lock contention, replication lag, and connection pool problems • Plan capacity and execute schema changes, engine upgrades, and data migrations with minimal downtime • Run disaster recovery and tabletop exercises, including restore tests, failover drills, and RTO/RPO validation • Provision cloud and database resources with Terraform using pull-request review • Write Python, Bash, or Lambda automation for patching, snapshots, access requests, failover, and event remediation • Build and manage CI/CD pipelines with GitHub Actions or AWS CodePipeline and deploy through ArgoCD • Implement IAM, KMS encryption, Secrets Manager rotation, audit logging, SCPs, and compliance controls • Monitor platform and database health with ELK, Grafana, Loki, Prometheus, and CloudWatch • Participate in rotating on-call coverage, respond to incidents, conduct postmortems, and update runbooks • Use AIOps and AI tooling for anomaly detection, capacity forecasting, alert-noise reduction, and incident triage • Optimize cloud costs through instance and storage right-sizing and usage monitoring • Document architecture, database standards, and runbooks in Confluence

🎯 Requirements

• 8-10 years in cloud or infrastructure engineering, with at least 3 years running production databases on AWS • Strong, hands-on AWS cloud experience • Deep experience with PostgreSQL or MySQL in production on Aurora or RDS • Strong working knowledge of VPC design, IAM, EC2, EKS or ECS, S3, and Lambda • Hands-on infrastructure as code experience with Terraform, in a team setting with code review • Comfort scripting in Python or Bash to automate database and platform operations • Hands-on observability experience with tools like ELK, Grafana, Loki, and Prometheus • Experience troubleshooting production incidents and writing clear postmortems • Experience planning and running disaster recovery exercises, including tabletop exercises • Willingness to participate in an on-call rotation • AWS Certified Database Specialty, Solutions Architect Professional, or similar certification • Experience with ArgoCD and GitOps workflows • Experience with AWS CloudFormation or AWS CDK • Experience with Datadog • Experience with Rubrik for backup and recovery • Hands-on experience with Google Cloud, including Cloud SQL, GKE, and BigQuery • Experience with AIOps or AI-assisted tooling for anomaly detection, incident triage, or operational metrics • Experience in healthcare or another regulated environment

🏖️ Benefits

• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance • Pet insurance

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