Senior DevOps Engineering Manager, Qventus

$180-220k

Salary applicable to US candidate sand may vary in further locations. + Employee stock option awards

AWS

Kubernetes

Terraform

Azure

DevOps

Senior and Expert level

Remote from Canada, US

AI-powered healthcare operations

Job no longer available

AI-powered healthcare operations

201-500 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaSData AnalysisAutomation

Job no longer available

$180-220k

Salary applicable to US candidate sand may vary in further locations. + Employee stock option awards

AWS

Kubernetes

Terraform

Azure

DevOps

Senior and Expert level

Remote from Canada, US

201-500 employees

HealthcareB2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaSData AnalysisAutomation

Company mission

To simplify how healthcare operates, so that it works for everyone.

Job

Company

Role

Who you are

This role is ideal for a hands-on leader who thrives on modernizing systems, improving developer experience, and building a team culture that blends reliability with AI-powered innovation
7+ years in DevOps, SRE, or Infrastructure roles, including 5+ years leading teams
Strong AWS expertise
Deep hands-on experience with Terraform and Infrastructure as Code
Strong background in cloud security and compliance frameworks
Proven cost optimization experience across cloud and data platforms
Experience modernizing DevOps workflows and platforms
Excellent communication, leadership, and cross-functional collaboration skills

Desirable

Experience with Kubernetes, Helm, and container orchestration
Exposure to GenAI tools applied to DevOps, monitoring, or infrastructure workflows
Familiarity with FinOps tools (e.g., Finout, CloudHealth, Cost Explorer)
Background in regulated industries (e.g., healthcare, finance)
Experience with internal developer platforms (e.g., Backstage)
Some Azure exposure

What the job involves

We’re looking for a forward-thinking DevOps Manager to lead the transformation of our cloud infrastructure, bringing both technical depth and strategic vision
You’ll own core areas like AWS/Azure infrastructure, Terraform automation, cloud security, and cost governance—while also driving the adoption of GenAI in DevOps and evolving our internal developer platform
Own and evolve cloud infrastructure in AWS and Azure using Terraform and IaC best practices
Lead automation of CI/CD pipelines, provisioning, and configuration workflows
Drive adoption of platform engineering and developer self-service tooling
Apply GenAI to accelerate deployment, generate infra code, and streamline ops
Ensure infrastructure meets SOC 2, HIPAA, and internal security requirements
Collaborate with InfoSec to manage IAM, patching, and incident response
Use AI-assisted monitoring to improve threat detection and policy enforcement
Monitor and reduce spend across AWS, Snowflake, Databricks, Azure, and Datadog
Build tools for cost forecasting and team-level accountability
Align cost strategy with business goals using data-driven, AI-enhanced models
Improve CI/CD speed, stability, and ease of use across the engineering org
Measure and improve delivery metrics (e.g., deployment frequency, MTTR)
Build an internal platform that enables velocity, self-service, and clear feedback loops
Lead, mentor, and scale a high-performing global DevOps team
Drive infrastructure modernization projects in collaboration with Product, Engineering, and Security
Champion a culture of experimentation, learning, and operational excellence
Drive the DevOps roadmap and alignment with peer teams

Our take

The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task.

Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins.

Many healthcare SaaS startups aim to use AI to interpret medical data, but Qventus’s approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of its AI operational assistants and to continue its expansion to additional hospitals and health systems.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

6% employee growth in 12 months

Glassdoor (3.6)

Company

Funding (last 2 of 8 rounds)

Jan 2025

$85m

SERIES D

Aug 2022

$3m

LATE VC

Total funding: $196.2m

Company benefits

Stock options
Comprehensive health benefits with 90% of the cost covered for employees
Paid parental leave for all new parents
Generous HSA contribution
Paid disability and life insurance
Participation in a 401(k)
Wellness + Tech stipends
Education and professional development reimbursement

Company HQ

Mountain View, CA

Leadership

Mudit Garg

(Founder & CEO)

After 2 years as a McKinsey Consultant and an MBA at Stanford, they co-founded Qventus in August 2012. They have served as CEO since then.

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