Bayesian Health

3 months ago

Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build and maintain scalable, secure cloud infrastructure for a clinical AI platform. Design cost-efficient, fault-tolerant systems on AWS; implement CI/CD pipelines to accelerate cross-functional teams; establish infrastructure best practices; monitor reliability; collaborate with SecOps to meet HIPAA/HITRUST/FDA requirements while enabling AI/ML-driven expansion.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design cost-optimized, fault-tolerant infrastructure for scale: Propose enhancement to our infrastructure design to enable us to expand our client base and deploy new products on our platform while managing cloud costs and ensuring reliability.
•Streamline development and deployment: Define a branching and promotion strategy that allow us to comply with the regulatory change control process. Build and maintain CI/CD pipelines using GitHub for automated testing and deployment.
•Establish and evangelize infrastructure best practices: Create infrastructure guidelines and templates such as Terraform modules, and educate team members in leveraging them.
•Infrastructure support and maintenance: Continuous monitoring of system performance and reliability, and apply software upgrades accordingly. Collaborate with other team members in troubleshooting infrastructure issues and optimize performance.
•AI Ops Platform Architecture: Architect and build a secure, internal AI Ops platform to safely host and manage AI/ML agents for infrastructure and DevOps optimization.

Key Requirements

•5+ years of experience building and operating production cloud infrastructure on AWS as a DevOps, Infrastructure, Site Reliability Engineer, or similar role.
•Proficient with Kubernetes, preferably with EKS, including cluster bootstrapping and day-2 ops.
•Strong operational knowledge of relational databases such as PostgreSQL/MySQL (backups, failover, performance tuning).
•Deep expertise in Terraform (or equivalent IaC) and an eye for building clean and scalable modules.
•Familiarity with observability tools, particularly the Datadog

Experience:5+ yearsHealthcareAiHealthtechBiotech

Skills:AWSKubernetesEKSPostgreSQLMySQLTerraformDatadogCircleCIGitHubCI/CD

Tech Stack:AWSKubernetesEKSPostgreSQLMySQLTerraformDatadogCircleCIGitHubCI/CD

Company Brief

Bayesian Health

Provides an adaptive clinical AI/ML platform that integrates with EMRs to deliver real-time early-warning signals and workflow-integrated decision support for hospitals to detect deterioration, sepsis, pressure injuries and other adverse outcomes.

Industry: HealthTech

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2016

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Bayesian Health

3 months ago

Infrastructure Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design cost-optimized, fault-tolerant infrastructure for scale: Propose enhancement to our infrastructure design to enable us to expand our client base and deploy new products on our platform while managing cloud costs and ensuring reliability.
•Streamline development and deployment: Define a branching and promotion strategy that allow us to comply with the regulatory change control process. Build and maintain CI/CD pipelines using GitHub for automated testing and deployment.
•Establish and evangelize infrastructure best practices: Create infrastructure guidelines and templates such as Terraform modules, and educate team members in leveraging them.
•Infrastructure support and maintenance: Continuous monitoring of system performance and reliability, and apply software upgrades accordingly. Collaborate with other team members in troubleshooting infrastructure issues and optimize performance.
•AI Ops Platform Architecture: Architect and build a secure, internal AI Ops platform to safely host and manage AI/ML agents for infrastructure and DevOps optimization.

Key Requirements

•5+ years of experience building and operating production cloud infrastructure on AWS as a DevOps, Infrastructure, Site Reliability Engineer, or similar role.
•Proficient with Kubernetes, preferably with EKS, including cluster bootstrapping and day-2 ops.
•Strong operational knowledge of relational databases such as PostgreSQL/MySQL (backups, failover, performance tuning).
•Deep expertise in Terraform (or equivalent IaC) and an eye for building clean and scalable modules.
•Familiarity with observability tools, particularly the Datadog

Experience:5+ yearsHealthcareAiHealthtechBiotech

Skills:AWSKubernetesEKSPostgreSQLMySQLTerraformDatadogCircleCIGitHubCI/CD

Tech Stack:AWSKubernetesEKSPostgreSQLMySQLTerraformDatadogCircleCIGitHubCI/CD

Company Brief

Bayesian Health

Industry: HealthTech

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: New York, United States

Founded: 2016

Glassdoor: 4.2

Website LinkedIn Glassdoor