Senior Platform Engineer, Medical Devices

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $121.600 - $228.000 / Jahr

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

👻 Geisterscore 1%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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SandboxAQ

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2021

🤖 Künstliche Intelligenz

🔒 Cybersecurity

💊 Pharmazie

Artificial Intelligence • Cybersecurity • Pharmaceuticals

SandboxAQ ist ein Unternehmen, das quantitative KI- und quanteninspirierte Technologien entwickelt, um reale Probleme in den Bereichen Arzneimittelforschung, Materialwissenschaft, Cybersicherheit und Navigation zu lösen. Sie erstellen große quantitative Modelle (LQMs), die auf physikalischen und chemischen Grundlagen beruhen, um molekulare Eigenschaften vorherzusagen, therapeutische Designs zu beschleunigen und komplexe chemische und katalytische Prozesse zu simulieren, während sie auch ihr Fachwissen in KI und Post-Quanten-Kryptografie einsetzen, um digitale Sicherheit und Navigation in GPS-losen Umgebungen zu verbessern.

Beschreibung

• Develop infrastructure, tooling, and pipelines supporting the Medical Device product from embedded Linux field fleets to the cloud • Own build, signing, rollout, rollback, per-device configuration, update mechanisms, recovery mechanisms, and operational tooling for the Linux kiosk fleet • Own CI/CD, test-gated promotion, controlled approvals, and release traceability across cloud and device software • Define a deployment control plane for reversible and auditable releases • Own observability, alerting, reliability, backup and recovery, auditability, and security controls • Operate the AWS and Terraform foundation supporting product and engineering teams • Establish golden paths and self-service deployment tools • Advise engineers on complex build and deployment issues • Design, build, test, and maintain production-quality tooling and services • Automate regulatory requirements including traceability, SBOM, artifact signing, audit trails, pipeline security, and device security • Translate Product, Clinical, Regulatory, and InfoSec needs into platform work • Support clinical studies and regulatory submissions such as 510(k) and De Novo • Support data-science platform needs including reproducible environments, scalable compute, and reliable model serving

🎯 Anforderungen

• 8+ years in platform, DevOps, or infrastructure engineering in AWS • Staff-level ownership of production CI/CD and release systems for complex distributed systems handling sensitive data • Strong general software-engineering ability in Python or Go • Experience operating Linux-based systems and fleets of networked/IoT devices • Experience with OTA update strategies • Ownership of CI/CD and release/promotion systems with test gating, approvals, and reversible deployments • Deep expertise in Terraform/Terragrunt • Experience with Docker and ECS/Fargate and/or Kubernetes • Experience building observability with Datadog/CloudWatch • Experience operating production systems for monitoring and alerting • Regulated, safety-critical, high-assurance, medical-device, or sensitive-data experience strongly preferred • Experience with Mender or comparable embedded-Linux update systems, signed images, and A/B update strategies preferred • Experience delivering Software as a Medical Device through its full lifecycle and familiarity with FDA 510(k)/De Novo pathways desired • Experience designing HIPAA/GDPR-compliant systems, audit logging, secure data transmission, PKI, device authentication, and threat modeling • Data engineering or infrastructure support for data-science and ML teams, including data versioning and production model serving • Secure overlay networks such as Tailscale/WireGuard and multi-account/multi-region network design • Experience with GCP or Azure alongside AWS • Familiarity with diagnostic or imaging devices with hardware in the loop or physiological monitoring platforms such as ECG • Legally authorized to work in the country where the job is located • Candidates cannot participate in foreign talent programs sponsored by China, Russia, Iran, or North Korea

🏖️ Vorteile

• Competitive base salary • Performance-based incentives or bonuses (where applicable) • Equity participation • Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions • Retirement savings with company matching • Paid parental leave • Inclusive family-building benefits • Fully remote work • Flexible paid time off • Company-wide seasonal breaks • Support for flexible work arrangements • Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs