Qventus

DevOps Manager

Canada

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare Technology, SaaSIndustries

Requirements

Candidates must have 7+ years of experience in DevOps, SRE, or infrastructure roles, with at least 5 years in a leadership capacity. Strong expertise in AWS, hands-on experience with Terraform and Infrastructure as Code (IaC) best practices, and a solid background in cloud security and compliance frameworks are essential. Proven experience in cloud cost optimization across various platforms and modernizing DevOps workflows and platforms is required, along with excellent communication, leadership, and cross-functional collaboration skills. Experience with Kubernetes, Helm, GenAI tools for DevOps, FinOps tools, regulated industries, and internal developer platforms is a plus.

Responsibilities

The DevOps Manager will lead the transformation of cloud infrastructure, owning and evolving AWS and Azure environments using Terraform and IaC. Responsibilities include automating CI/CD pipelines, provisioning, and configuration workflows, and driving the adoption of platform engineering and developer self-service tooling. The role involves applying GenAI to accelerate deployments and streamline operations, ensuring infrastructure security and compliance with SOC 2 and HIPAA standards, and managing IAM, patching, and incident response. Additionally, the manager will monitor and reduce cloud spend, build tools for cost optimization and forecasting, improve CI/CD speed and stability, and enhance the developer experience through an internal platform. This includes leading, mentoring, and scaling a global DevOps team, driving infrastructure modernization projects, and championing a culture of experimentation and operational excellence.

Skills

AWS
Azure
Terraform
Infrastructure as Code (IaC)
CI/CD
Cloud Security
Cost Governance
GenAI in DevOps
Developer Platform
Platform Engineering
Developer Self-Service
IAM
Incident Response
AI-assisted Monitoring

Qventus

Automates healthcare operations using AI technology

About Qventus

Qventus provides a platform that uses artificial intelligence and machine learning to improve healthcare operations. The platform integrates data from Electronic Health Records and market sources to automate various care processes. By optimizing resource utilization and increasing visibility within healthcare facilities, Qventus helps reduce patient stays and enhances the quality of care. It also aims to alleviate staff burnout by minimizing cognitive load, allowing healthcare workers to spend more time with patients. Unlike many competitors, Qventus focuses on strategic partnerships and has demonstrated significant financial benefits for its clients, with some reporting over $10 million in annual savings. The goal of Qventus is to transform healthcare operations, making them more efficient and effective for both providers and patients.

Mountain View, CaliforniaHeadquarters
2012Year Founded
$108MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental & vision plans
Stock options
Annual learning & development stipend
Generous vacation
Employee referral & bonus programs
401(K) plan
Fitness reimbursement
FSA & HSA
Parental leave program
Catered meals & snacks
Quarterly hackathons & team events

Risks

Increased competition from AI healthcare startups like Olive and LeanTaaS.
Potential integration challenges with existing EHR systems could hinder platform adoption.
Data privacy concerns and regulatory scrutiny could impact operations and compliance.

Differentiation

Qventus uses AI and ML to optimize hospital operations in real-time.
The platform integrates EHR data to automate care operations and reduce staff burnout.
Qventus has proven success with significant financial benefits for healthcare facilities.

Upsides

Qventus secured $105M to expand AI automations and operational assistants.
The platform reduces hospital stay lengths and increases surgical volumes, saving millions.
Growing demand for AI tools enhances patient flow management in hospitals.

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