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Impiricus

Software Engineer (DevOps)

Atlanta, GA, New York, NY, or Remote, USA (Remote)$100k–$130kfull-timemidAdded today

About this role

Join Impiricus as a DevOps Software Engineer to design and operate scalable AWS infrastructure powering an AI-driven healthcare platform. You'll manage CI/CD pipelines, containerized workloads, cloud security, and collaborate with engineering teams to ensure high availability and reliability across production systems.

What you'll do

  • Design and maintain scalable AWS infrastructure using Infrastructure as Code (Terraform, CloudFormation)
  • Develop and manage CI/CD pipelines using AWS services and third-party tools
  • Operate containerized and serverless workloads on EKS, ECS, Lambda, and Fargate
  • Monitor systems using CloudWatch, X-Ray, and observability tools to ensure availability
  • Implement AWS security best practices including IAM, VPC, and secrets management
  • Lead incident response, troubleshooting, and drive reliability improvements

What they're looking for

  • AWS (EC2, VPC, IAM, RDS, S3, CodePipeline, CloudWatch, X-Ray)
  • Infrastructure as Code (Terraform or CloudFormation)
  • Python, Bash, SQL
  • CI/CD pipelines (GitLab, GitHub Actions, Jenkins)
  • Docker and Kubernetes (EKS) or ECS
  • Cloud security and networking fundamentals
  • Golang or TypeScript (preferred)
  • QA automation and defect resolution

Benefits

  • Full-time salaried position
  • Flexible work locations (Atlanta, NYC, or Remote)
  • Professional and personal growth opportunities
  • Well-being focused culture
  • Competitive salary within $100,000-$130,000 range
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Impiricus

Impiricus builds an AI-powered healthcare engagement platform designed for life sciences companies. The company is hiring full-stack software engineers and QA automation engineers to develop scalable digital solutions with LLM workflows and ensure product quality through automated testing frameworks.

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Likely interview questions

  • Describe your experience designing and deploying production AWS infrastructure at scale—what services did you use and why?
  • How have you approached optimizing CI/CD pipelines, and what bottlenecks have you identified and resolved?
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