Cairns Health is creating a fundamentally better healthcare experience for people with chronic health conditions and those who care for them. We make healthcare more accessible by simplifying complex care plans, connecting care teams, and meeting patients where they live. Through our conversational AI, patients use their voice to interact with our digital care companion, who proactively gives medication reminders, symptom checks, behavioral nudges, and even engages in friendly conversation to ease loneliness. Cairns uses a device that includes radar to put the patient in context and passively monitors their activities, including heart rate, breathing rate, and sleep stages, all without a wearable. The result is informed and timely intervention that drives improved clinical outcomes, reduced care delivery costs, and a more satisfactory healthcare experience for all.
We’re seeking an experienced and driven DevOps engineer to join our world-class engineering team at Cairns Health. This critical role will support our efforts at the intersection of conversational AI, radar technology, and cloud-native infrastructure. You will play a key role in scaling, securing, and automating the infrastructure that powers our LLM-backed digital health companion and embedded sensor platform. Our ideal candidate is a hands-on systems thinker with a bias for automation, strong ownership mindset, and a deep focus on reliability.
- Lead the design, implementation, and operation of cloud infrastructure in support of highly available, scalable, and secure services.
- Own and manage our CI/CD pipelines to ensure seamless, automated deployments across environments.
- Monitor production systems to maintain uptime, performance, and cost efficiency using modern observability tools.
- Collaborate with software and hardware engineers to build resilient infrastructure that supports radar-based sensing, LLM workloads, and real-time communication.
- Design and enforce infrastructure-as-code practices using Terraform, Helm, or similar tools.
- Manage Kubernetes clusters on AWS (EKS), including deployments, upgrades, scaling, and debugging.
- Build automated alerting and remediation workflows for common system failures.
- Ensure system security and compliance via automated audits, access control, and secrets management.
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience, with 7+ years in DevOps, Site Reliability Engineering (SRE), or infrastructure engineering.
- Expert in cloud platforms, particularly AWS, including experience with services like EC2, S3, RDS, CloudWatch, EKS, ECS, IAM, and VPCs.
- Strong experience with Docker and Kubernetes for container orchestration and workload management.
- Proficient in infrastructure-as-code (IaC) tools such as Terraform, Pulumi, or AWS CDK.
- Experience with CI/CD tools like GitHub Actions, CircleCI, or Jenkins and release automation.
- Familiar with monitoring and observability tools such as Prometheus, Grafana, ELK/EFK stacks, or Datadog.
- Skilled in scripting and automation using Python, Bash, or Go.
- Deep understanding of Linux systems administration, networking, and security best practices.
- Experience with log aggregation, distributed tracing, and real-time alerting systems.
- Familiar with Agile/Scrum workflows, Git version control, and collaborative DevOps practices.
- Excellent problem-solving and debugging skills; ability to diagnose issues across services and systems.
- Strong communication skills and a collaborative, team-first attitude.