Sr. Software Engineer

Prenosis Inc. · Remote job · posted Sep 21, 2026

Open to candidates in United States

Full-timeseniorhealthtech
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What this role actually asks for

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Must have

  • •Production-quality Go and Python backend services
  • •TypeScript/React frontend features
  • •HIPAA compliance and security best practices
  • •CI/CD pipelines
  • •Infrastructure as code (Terraform/Terragrunt)
  • •Kubernetes cluster management

Nice to have

  • •Experience with GitOps workflows

Tools and technologies

GoPythonTypeScriptReactKubernetesAWSGCPTerraformTerragruntHelmKustomizeArgoCDFluxPrometheusKibana

The full posting

About Prenosis Prenosis Inc. is an artificial intelligence company pioneering precision medicine in acute care. Our Immunix™ precision medicine platform drives the development of precision products and enables real-time delivery of optimal therapy. We've created and validated the first FDA-authorized AI biomarker for sepsis, the Sepsis ImmunoScore®.

At Prenosis, we: Put patients first Disrupt with evidence Excel with integrity Go far together Our staff collectively defined these corporate values to demonstrate how our teams contribute to meaningful and authentic change in U.S. healthcare. We value our diverse talent, strive to foster a culture of continuous learning, and aim to maintain a feeling of belonging and shared sense of purpose.

Prenosis is headquartered in Chicago Illinois and generally operates on Central Time Zone. Position Summary We are looking for a hands-on Senior Software/SRE Engineer who spends the majority of their time writing and reviewing production code. You will be a primary technical contributor on the team, designing systems, closing pull requests, debugging production incidents, and setting the technical bar through example.

Roughly 80% of your time will be spent on individual technical contribution and architecture; the remaining 20% on the functional management responsibilities that keep a small, high-performing team running smoothly. You will work across our Go backend services, Python APIs, TypeScript frontend, and Kubernetes infrastructure.

Owning full-stack delivery in a HIPAA-regulated environment where correctness and reliability are non-negotiable. Responsibilities Write production-quality Go and Python backend services: APIs, data pipelines, business logic, and integrations. Build and maintain TypeScript/React frontend features with real attention to UI quality and client-side performance.

Conduct deep, substantive code reviews that raise the technical quality of the entire codebase. Drive architectural decision records (ADRs) and hands-on prototypes to validate technical direction before committing the team. Champion HIPAA compliance and security best practices at the code level - in data handling, auth, encryption, and audit logging.

Ensure the availability and reliability of applications and systems; proactively identify and address potential failure points before they affect patient-facing workflows. Implement and manage comprehensive monitoring, logging, and alerting using Prometheus, Kibana, the Elastic Stack, OpenTelemetry, or equivalent tools.

Partner with other developers to design, implement, and maintain CI/CD pipelines (GitHub Actions, GitLab, or equivalent) that streamline development workflows and deployment safety. Drive SDLC improvements: branch strategies, automated testing gates, progressive delivery, and rollback procedures.

Embed security and compliance checks into pipelines so HIPAA controls are verified automatically, not manually. Maintain cloud infrastructure on AWS and GCP - ensuring scalability, high availability, and cost efficiency. Manage infrastructure as code using Terraform/Terragrunt; maintain clean, version-controlled, peer-reviewed infrastructure changes.

Manage Kubernetes clusters across AWS (EKS) and GCP (GKE); tune resource limits, manage rollouts, and operate services at scale. Implement and maintain deployment tooling - Helm, Kustomize, ArgoCD, Flux - to optimize workload management and enable GitOps workflows. Debug misbehaving workloads, manage cluster upgrades, and drive operational maturity across the platform. Expected frequency and duration of travel: 2-3 times a year

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