Тип вакансії: Повна зайнятість

Розташування:

The client is a US healthcare-data company building a platform for pharmacy benefit managers. The platform ingests historical patient and prescription data, runs it through an ETL pipeline into a unified data model, and serves machine-learning models that produce drug and treatment recommendations. Today the process is manual data prepared on a desktop, models deployed by hand, no CI/CD. The goal is a production SaaS platform with a first MVP at the end of 2026.

The infrastructure is AWS, with Docker and Kubernetes as the runtime, and a strong preference for open-source tooling over managed proprietary services. The availability target is 99.9%, 24×7. Current usage is proof-of-concept scale, so the design has to reach that target without over-building, and cost must be a design input from day one: an environment that meets the checklist but whose bill doubles in six months is not acceptable.

This is a full-time, remote engagement. Working hours are 06:0014:00 US Eastern, and development happens on client-provided virtual desktops.

Key Responsibilities
Design the AWS and Kubernetes infrastructure for the platform from the target architecture, and document it.
Build the environments development, test and production with clear separation and repeatable provisioning.
Set up CI/CD from scratch for application code, data pipelines and model deployments.
Define infrastructure as code and keep every environment reproducible from it.
Design for 99.9% availability, 24×7: monitoring, alerting, backups, recovery and on-call practice.
Own cost: choose instance types, storage and scaling policies deliberately, and report on spend.
Put security and access controls in place appropriate to sensitive healthcare data.
Work with the data engineer to run pipelines and model services reliably on Kubernetes.
Replace manual deployment steps with automated, auditable ones.
Propose an approach and defend it rather than waiting for a fully formed requirement.
Write the runbooks and documentation the team needs to operate the platform without you in the room.
Required Qualifications
DevOps or platform engineering experience, including ownership of a production environment.
Hands-on AWS experience.
Hands-on Docker and Kubernetes experience in production.
Experience building CI/CD pipelines from scratch.
Infrastructure as code with a tool such as Terraform, and the discipline to keep environments reproducible.
Experience designing for and operating to a defined availability target, including monitoring, alerting and incident response.
Demonstrated cost-conscious design and cost management in a cloud environment.
Real C1 English, role requires direct client meetings without an intermediary.
Availability during 06:0014:00 US Eastern.
Preferred Qualifications
Experience running data pipelines and machine-learning workloads on Kubernetes.
Experience with an open-source observability stack (Prometheus, Grafana, Loki or similar).
Security and compliance experience with healthcare or other regulated data.
Experience with GitOps tooling such as Argo CD or Flux.
Experience with Python or scripting for automation.
Experience taking a proof-of-concept environment to production.
Your First 90 Days
First 30 days You have reviewed the target architecture, produced the infrastructure design with a cost estimate, and agreed it with the CTO; a first environment is provisioned from code.
By 60 days Development and test environments run from infrastructure as code, CI/CD deploys the data pipeline and model services without manual steps, and monitoring and alerting are live.
By 90 days Production is running to the availability target with backups and recovery tested, spend is tracked against the estimate, and the runbooks exist for someone else to operate the platform.

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