Location: Manila,
Philippines
Experience: 1-3
years
Type: Full Time
Consultant
Department: Engineering
Qure.ai is a global healthtech
company using artificial intelligence to improve disease detection and patient
outcomes at scale. Our solutions are deployed across hospitals, diagnostic
networks, and public health programs worldwide.
Today, our technology
has impacted 40M+ lives across 105+ countries, deployed across 5,200+
sites, and powered by one of the world’s largest real-world medical imaging
datasets. With 26 FDA-cleared indications, we are helping shape the
future of AI-driven healthcare.
The Opportunity
Qure.ai is seeking a
talented and experienced Site Reliability Engineer to join our team. As a Site
Reliability Engineer, you will play a crucial role in ensuring the reliability,
scalability, and performance of our software systems. You will collaborate with
cross-functional teams to build and maintain a highly available and efficient
infrastructure that supports our artificial intelligence-based healthcare
solutions. This role is based in the Philippines and requires
frequent travel within the Philippines and across Southeast Asian countries
based on business requirements. Additionally, you will regularly engage with
client teams on-site, necessitating strong communication and soft skills.
What You’ll Own & Drive
- Deploy and distribute Qure.ai's AI
and computer vision software across customer environments, supporting both
Linux and Windows platforms following established deployment procedures.
- Manage and maintain on-premise
server infrastructure at hospital and clinic sites — covering
provisioning, OS patching, configuration hardening, and capacity planning
for GPU and compute-intensive AI workloads.
- Work directly with customers to
diagnose and resolve recurring issues in production deployments and
updates, applying structured debugging across OS, network, and application
layers.
- Support the implementation and
upkeep of highly reliable services using infrastructure-as-code tooling
(Ansible, Terraform, or equivalent) to enable consistent and swift product
delivery across customer sites.
- Monitor and analyse system
performance across cloud and on-premise environments, identify
bottlenecks, and implement solutions to optimise throughput and ensure
high availability.
- Maintain monitoring, alerting, and
logging systems (Prometheus, Grafana, ELK, or equivalent) to detect and
respond to issues proactively, covering both cloud and on-premise
deployments.
- Participate in incident response and
post-mortem processes — supporting root cause analysis and implementing
fixes to prevent recurrence.
- Collaborate with security teams to
maintain infrastructure hardening standards, manage access controls, and
ensure compliance with healthcare data protection requirements.
- Translate technical findings into
clear communication for non-technical hospital stakeholders, requiring
strong interpersonal and written skills.
- Work within a culture that champions
deep technical ownership, operating closely alongside Dev, Product, and
Customer Success teams to ensure reliability is a shared responsibility
across the organisation.
- Willingness to travel domestically
and internationally as required to support customer deployments and
on-site engagements.
Our Values
- Humble: Curious, open to
feedback, and focused on team success over individual credit.
- Hungry: High ownership,
relentless drive, and a constant push for better outcomes.
- Smart: Structured thinking
with empathy, solving complex problems with clarity and strong collaboration.
Our inclusive workspace || Applicant Privacy Policy
Requirements
What We Do
From medical images to connected devices, the amount of medical data being generated is growing exponentially. This coupled with new forms of data such as the ones generated by genome sequencing and biosensors renders traditional diagnostic methods obsolete. At Qure, we are a team of passionate computer scientists, medical practitioners and bioinformaticians who are on a mission to make healthcare more accessible and affordable using the power of deep learning. We believe that Artificial Intelligence (AI) is the key in ensuring that healthcare practitioners can focus on cases that truly matter, letting machines diagnose or treat the easier ones. Our aim is to leverage deep learning effectively to diagnose disease from radiology and pathology imaging, and create personalized cancer treatment plans from psychopathology imaging and genome sequences. Our research is done in collaboration with several hospital chains, universities and research institutions. If you are a medical institution and would like to collaborate with us, please reach out to us.
