Principal DevOps Software Engineer

RapidAI
•$175,000 - $240,000

About The Position

RapidAI is seeking a DevOps Engineer to support medical device software development and help deliver patient care worldwide. The role designs, builds, and operates resilient, secure, performant, and scalable cloud infrastructure and delivery platforms, with a focus on Kubernetes-based microservice workloads, infrastructure as code, CI/CD in a regulated environment, and AWS architecture. The engineer serves as an infrastructure, deployment, and operability point of contact for Engineering, QA, IT, and Security, and uses AI coding tools to support infrastructure and automation work, code review, troubleshooting, deployments, and support procedures.

Requirements

  • At least 8 years of engineering experience with demonstrated technical leadership.
  • Bachelor’s degree in Computer Science or a relevant field.
  • Experience using AI coding tools such as Claude Code, Codex, and GitHub Copilot for infrastructure, automation, and troubleshooting.
  • Strong experience with Kubernetes and its ecosystem, such as EKS, Helm, Argo CD/Flux, and Prometheus/Grafana.
  • Strong working knowledge of AWS cloud services.
  • Proficiency with Terraform and/or CloudFormation.
  • Experience with CI/CD using GitHub Actions and/or Jenkins.
  • Solid networking knowledge, including TCP/IP, DNS, TLS, load balancing, VPC design, and VPN.
  • Experience with AWS security tools, such as IAM, KMS, GuardDuty, Security Hub, Config, and CloudTrail.
  • Proficiency in a scripting or programming language, such as Python, Bash, Go, or JavaScript.
  • Ability to troubleshoot issues effectively in a distributed architecture.
  • Strong decision-making ability and ability to support multiple teams.
  • Strong communication skills with technical and non-technical teams in a global environment across time zones.

Nice To Haves

  • Experience with AWS GovCloud.
  • Experience with compliance frameworks such as FedRAMP, HIPAA, SOC 2, NIST 800-53, or ISO 27001.

Responsibilities

  • Use AI coding tools such as Claude Code, Codex, and Copilot to design, build, and operate infrastructure and automation; review pull requests; troubleshoot systems; improve deployments; and support procedures.
  • Design, build, and manage cloud infrastructure and delivery platforms focused on resilience, security, performance, and scalability.
  • Operate and improve Kubernetes-based platforms and their surrounding ecosystem to support microservice workloads.
  • Implement reusable, tested, and peer-reviewed infrastructure-as-code modules.
  • Build and maintain CI/CD pipelines in a regulated environment.
  • Architect and operate AWS environments, including networking, security controls, and cost optimization.
  • Collaborate with Engineering, QA, IT, and Security as the point of contact for infrastructure, deployment, and operability design.

Benefits

  • Bonus
  • Equity
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