Staff Site Reliability Engineer, AWS & Databases

OpenLoop | Telehealth

1h 21m ago

Remote In-Country

Full Time

United States of America

About OpenLoop

OpenLoop was co-founded by CEO, Dr. Jon Lensing, and COO, Christian Williams, with the vision to bring care anywhere. Our telehealth support solutions are thoughtfully designed to streamline and simplify go-to-market care delivery for companies offering meaningful virtual support to patients across an expansive array of specialties, in all 50 states.

Staff Site Reliability Engineer, AWS & Databases

About the Role

OpenLoop runs telehealth services for clients in all 50 states, and the AWS platform and databases behind it keep growing. You'll design, build, and operate that infrastructure, with extra ownership of our production databases and the automation around them. Because we handle PHI, every change has to be secure and auditable.

What You'll Do

Cloud Architecture & Provisioning: Architect and manage AWS core services like EC2, VPC, S3, IAM, Lambda, and EKS or ECS to build high-availability systems, and support a smaller footprint on Google Cloud (Cloud SQL, GKE, and BigQuery).
Database Engineering: Design, run, and tune Amazon Aurora, RDS (PostgreSQL and MySQL), DynamoDB, and Google Cloud SQL, including high-availability setups, read replicas, backups, point-in-time recovery, and failover testing.
Database Performance & Capacity: Find and fix slow queries, lock contention, replication lag, and connection pool problems using Performance Insights and Enhanced Monitoring, and plan capacity before growth hits limits.
Database Change Management: Plan and run schema changes, engine upgrades, and data moves with minimal downtime, using AWS DMS or native tooling.
Disaster Recovery & Resilience Testing: Plan and run regular DR exercises and tabletop exercises across AWS and Google Cloud, including restore tests, failover drills, and validation of recovery time (RTO) and recovery point (RPO) objectives, and turn the findings into runbook and architecture improvements.
Infrastructure as Code (IaC): Provision cloud and database resources with Terraform, with every change reviewed in a pull request.
Automation & Scripting: Write Python, Bash, or Lambda-based automation for patching, snapshot management, access requests, failover, and event remediation.
CI/CD & GitOps: Build and manage pipelines in GitHub Actions or AWS CodePipeline, and deploy applications through ArgoCD.
Security & Governance: Implement least-privilege IAM policies, KMS encryption at rest and in transit, Secrets Manager rotation, audit logging, Service Control Policies (SCPs), and compliance frameworks such as HIPAA, SOC 2, or NIST.
Monitoring & Troubleshooting: Set up observability with ELK, Grafana, Loki, Prometheus, or Amazon CloudWatch to track database and platform health, manage logs, and resolve production incidents.
On-Call Coverage: Participate in a rotating on-call schedule with the team, respond to production alerts and database incidents during your shift, and follow up with postmortems and runbook updates.
AIOps & AI-Assisted Operations: Use AIOps and AI tooling to catch database anomalies and slow-query regressions early, forecast capacity, cut alert noise, and speed up incident triage, so our data layer stays reliable as it scales.
Cost Optimization (FinOps): Right-size instances and storage, and monitor usage to balance performance with cloud spend.
Documentation: Document architecture, database standards, and runbooks in Confluence.

Who You Are

Required Qualifications

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.

Preferred Qualifications

Production experience with ArgoCD and GitOps workflows.
Experience with AWS CloudFormation or AWS CDK.
AWS Certified Database Specialty, Solutions Architect Professional, or similar certification.
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.

Our Benefits

In addition, for salaried positions you would also be eligible for:

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

Our Company

We have a relatively flat organizational structure here at OpenLoop. Everyone is encouraged to bring ideas to the table and make things happen. This fits in well with our core values of Autonomy, Competence and Belonging, as we want everyone to feel empowered and supported to do their best work.

Sound like a good fit? We’d love to meet you.

Required Skills

awsterraformpostgresqlmysqlpythonbashprometheus

Required Languages

🇬🇧 English

About OpenLoop

About the Role

What You'll Do

Cloud Architecture & Provisioning: Architect and manage AWS core services like EC2, VPC, S3, IAM, Lambda, and EKS or ECS to build high-availability systems, and support a smaller footprint on Google Cloud (Cloud SQL, GKE, and BigQuery).

Database Engineering: Design, run, and tune Amazon Aurora, RDS (PostgreSQL and MySQL), DynamoDB, and Google Cloud SQL, including high-availability setups, read replicas, backups, point-in-time recovery, and failover testing.

Database Performance & Capacity: Find and fix slow queries, lock contention, replication lag, and connection pool problems using Performance Insights and Enhanced Monitoring, and plan capacity before growth hits limits.

Database Change Management: Plan and run schema changes, engine upgrades, and data moves with minimal downtime, using AWS DMS or native tooling.

Disaster Recovery & Resilience Testing: Plan and run regular DR exercises and tabletop exercises across AWS and Google Cloud, including restore tests, failover drills, and validation of recovery time (RTO) and recovery point (RPO) objectives, and turn the findings into runbook and architecture improvements.

Infrastructure as Code (IaC): Provision cloud and database resources with Terraform, with every change reviewed in a pull request.

Automation & Scripting: Write Python, Bash, or Lambda-based automation for patching, snapshot management, access requests, failover, and event remediation.

CI/CD & GitOps: Build and manage pipelines in GitHub Actions or AWS CodePipeline, and deploy applications through ArgoCD.

Security & Governance: Implement least-privilege IAM policies, KMS encryption at rest and in transit, Secrets Manager rotation, audit logging, Service Control Policies (SCPs), and compliance frameworks such as HIPAA, SOC 2, or NIST.

Monitoring & Troubleshooting: Set up observability with ELK, Grafana, Loki, Prometheus, or Amazon CloudWatch to track database and platform health, manage logs, and resolve production incidents.

On-Call Coverage: Participate in a rotating on-call schedule with the team, respond to production alerts and database incidents during your shift, and follow up with postmortems and runbook updates.

AIOps & AI-Assisted Operations: Use AIOps and AI tooling to catch database anomalies and slow-query regressions early, forecast capacity, cut alert noise, and speed up incident triage, so our data layer stays reliable as it scales.

Cost Optimization (FinOps): Right-size instances and storage, and monitor usage to balance performance with cloud spend.

Documentation: Document architecture, database standards, and runbooks in Confluence.

Who You Are

Required Qualifications

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.

Preferred Qualifications

Production experience with ArgoCD and GitOps workflows.

Experience with AWS CloudFormation or AWS CDK.

AWS Certified Database Specialty, Solutions Architect Professional, or similar certification.

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.

Our Company

Sound like a good fit? We’d love to meet you.