DevOps Engineer

Doctronic•New York, NY

35d•$180,000 - $240,000•Onsite

About The Position

We're looking for a DevOps Engineer to own our infrastructure. 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. This role is critical to our mission. 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.

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.
Solid understanding of Linux administration, networking, cloud security, and Infrastructure as Code principles.
Experience building and maintaining CI/CD pipelines and deployment automation.
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.
Comfortable working in cross-functional teams and collaborating closely with software engineers, security teams, and product stakeholders.
Passionate about automation, reliability, scalability, and operational excellence.

Nice To Haves

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.

Responsibilities

Design, deploy, and maintain AWS infrastructure using ECS and core AWS services, including EC2, IAM, VPC, ALB/NLB, CloudWatch, ECR, S3, RDS, Glue.
Operate and scale production Kubernetes clusters with Helm-based application deployments.
Implement GitOps workflows with Argo CD to enable secure, automated, and auditable releases.
Provision and manage cloud infrastructure using Terraform.
Build and optimize CI/CD pipelines with GitHub Actions, GitLab CI, or similar platforms.
Automate infrastructure and operational workflows to improve reliability and reduce manual effort.
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.
Design and manage cloud networking, including VPCs, VPNs, Load Balancers, DNS, routing, and secure connectivity.
Integrate SIEM solutions to improve infrastructure visibility and incident response.
Implement security best practices, identity management, and least-privilege access across cloud environments.
Build monitoring, logging, and alerting solutions using Prometheus, Grafana, CloudWatch.
Improve platform reliability through proactive monitoring, incident response, and performance optimization.
Build and optimize containerized workloads using Docker.
Administer Linux-based production environments.
Automate operational tasks and infrastructure management using Bash and Python.