Doctronic
DevOps Engineer
New York City
Sponsorship not specified$180k-$240kDetected 15 days ago
BashDistributed SystemsGitAWSCloud PlatformsDockerKubernetesTerraformHelmCI/CDGitHub ActionsLinuxPrometheusGrafanaDevOpsMachine LearningLLMsCybersecuritySIEMIncident ResponseComplianceDNSHIPAALeadership
About the role
- When healthcare consultations depend on your infrastructure, reliability isn't just best practice - it's a sacred responsibility.
- You'll combine hands-on technical work with strategic infrastructure leadership, ensuring Doctronic remains the most trusted AI diagnostic platform in healthcare.
- Operate and scale production Kubernetes clusters with Helm-based application deployments.
Responsibilities
- Design, deploy, and maintain AWS infrastructure using ECS and core AWS services, including EC2, IAM, VPC, ALB/NLB, CloudWatch, ECR, S3, RDS, Glue.
- Implement GitOps workflows with Argo CD to enable secure, automated, and auditable releases.
- Build and optimize CI/CD pipelines with GitHub Actions, GitLab CI, or similar platforms.
- Deploy, maintain, and optimize infrastructure for AI/ML services and Large Language Models (LLMs).
- Support scalable inference workloads with a focus on performance, reliability, and cost efficiency.
- Collaborate with engineering teams to deliver production-ready AI platforms.
- We're HIPAA-compliant and SOC 2 Type II certified - you'll maintain and strengthen that foundation as we scale to serve millions of patients and enterprise partners.
- Build monitoring, logging, and alerting solutions using Prometheus, Grafana, CloudWatch.
- Build and optimize containerized workloads using Docker.
- Join our NYC team and work directly with engineering and product teams to build security into everything we do.
Requirements
- 5+ years of experience as a DevOps Engineer or Site Reliability Engineer.
- Strong hands-on experience with AWS, Kubernetes, Terraform, Docker, Helm, and Argo CD.
- Proven experience designing and operating highly available, cloud-native production infrastructure.
- Familiarity with monitoring, logging, and observability platforms.
- Experience supporting AI/ML workloads or modern distributed systems is a strong advantage.
- Strong problem-solving skills with the ability to troubleshoot complex production environments.
Nice to have
- Experience with GPU infrastructure and AI/ML model deployment.
- Familiarity with DevSecOps practices, vulnerability management, and compliance frameworks.
- Experience with multi-cluster Kubernetes environments.
- Knowledge of performance tuning, autoscaling, and cost optimization in AWS.
- Experience supporting high-traffic, mission-critical production systems.
- Understanding of disaster recovery, backup strategies, and business continuity planning.
- Experience working in fast-paced startup or scale-up environments.
Skills
- Where Medicine Meets Intelligence
- Doctronic is the first AI legally authorized to practice medicine.
- Provision and manage cloud infrastructure using Terraform.
Compensation
- Compensation & Benefits
Benefits
- Share in Doctronic's growth as we transform healthcare with AI.
- Comprehensive Health Benefits
- We offer comprehensive health, dental, and vision coverage-plus mental health support and flexible time off-because caring for others starts with caring for ourselves.
- Join Doctronic and work with cutting-edge AI that's transforming healthcare and helping people make faster, smarter decisions.
- $180K-$240K + Equity
- Equity Opportunities
Company info
- This role is critical to our mission.
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This listing is sourced directly from Doctronic's careers page and normalized into a canonical job model.