Lead Platform Engineer, AI, DevSecOps

🕒 vor 11 Tagen

🌲 Oregon – Remote

🌲 Oregon – Remote

💵 $155.000 - $175.000 / Jahr

⏰ Vollzeit

🟠 Senior

🏗️ Plattformingenieur

👻 Geisterscore 0%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 12 Tagen offen.

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RadarFirst

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2016

☁️ SaaS

📋 Compliance

🤖 Künstliche Intelligenz

💰 Private Equity Round im 2018-11

SaaS • Compliance • Artificial Intelligence

RadarFirst ist eine AI-forward Incident-Management-Plattform, die Unternehmen dabei unterstützt, Datenschutz- und AI-Incidents, regulatorische Risiken und Compliance-Workflows zu managen. Die Plattform standardisiert Erfassung, Bewertung und Dokumentation – mit rechtlicher Logik auf Grundlage der jeweiligen Jurisdiktion, deterministischer Entscheidungsfindung und einem revisionssicheren System of Record. RadarFirst bietet Module für Privacy Incident Management, AI Incident Management und Governance, individuelle Compliance-Workflows, eine Agentic Layer zur Automatisierung wiederkehrender Aufgaben sowie ein AI-konformes Inventar und eine Risikoklassifizierung für AI-Systeme. Die Plattform ist für den Einsatz in Unternehmen aus regulierten Branchen konzipiert, darunter Gesundheitswesen, Finanzdienstleistungen, Versicherungen, Einzelhandel und Versorgungsunternehmen. Sie unterstützt Frameworks und Gesetze wie die DSGVO, HIPAA, den EU AI Act, NIST und SEC-Vorgaben.

Beschreibung

• Own and evolve the DevSecOps, platform engineering, and AI operations roadmap • Design, implement, and operate secure, scalable, fault-tolerant AWS infrastructure for SaaS and AI workloads • Automate deployment, provisioning, compliance, monitoring, and support processes • Monitor platform KPIs and cost drivers, including cloud spend, token consumption, model usage, latency, error rates, deployment frequency, change failure rate, recovery time, and operational toil • Lead operational maturity of the agentic AI platform, including AWS Bedrock, AgentCore, AgentCore Gateway, governance, policy controls, observability, evaluations, and cost management • Build observability across infrastructure, applications, and agentic workflows • Partner with Engineering, Product, Security, Compliance, and Customer-facing teams on regulated-industry requirements • Define and evolve CI/CD, infrastructure-as-code, and release-management practices • Lead incident response, post-incident reviews, root-cause analysis, alert tuning, runbooks, readiness reviews, and remediation • Maintain and improve cloud security, secrets management, authentication, authorization, vulnerability scanning, and software supply chain controls • Create shared engineering standards and paved paths • Drive a DevOps-forward culture by reducing silos and clarifying operational responsibilities • Mentor DevOps, platform, and software engineers; develop future technical leaders • Potential opportunity for people management of a small team

🎯 Anforderungen

• 10+ years of experience in DevOps, DevSecOps, SRE, platform engineering, cloud infrastructure, or a closely related engineering role • Proven track record designing and operating production AWS infrastructure for SaaS or enterprise software environments • Experience leading technical strategy, mentoring engineers, influencing cross-functional teams, and improving engineering culture • Strong hands-on experience with infrastructure as code, CI/CD, containerization, configuration management, scripting, and operational automation • Experience with AWS services such as EC2, ECS, IAM, RDS, S3, Lambda, CloudWatch, OpenSearch, and related networking and security services • Practical understanding of secure SDLC, application security, privacy, compliance, auditability, and risk management in regulated customer environments • Experience with observability platforms and practices, including metrics, logs, traces, SLOs, alerting, dashboards, and incident response • Familiarity with AI infrastructure, LLMOps, AgentOps, or MLOps concepts • Strong understanding of secrets management, certificates, authentication, authorization, encryption, and cloud security controls • Experience with vulnerability management and security tooling such as SCA, SAST, DAST, IAST, RASP, penetration testing, and security monitoring • Excellent communication, collaboration, leadership, analytical, and troubleshooting skills • Role can be based in Portland, Oregon or remotely from anywhere in the U.S. • Authorization to work in the U.S. verified through E-Verify

🏖️ Vorteile

• Medical and dental insurance • 401(k) • Life and Disability insurance • Generous flexible time off policy • Paid holiday time • 12 weeks paid parental leave • Flexible spending accounts for medical, dependent care, and commuter expenses • Community outreach programs encouraging employees to give back • Commitment to anti-racism work and equity & inclusion action plan • Hybrid work model • On-site indoor bike racks, showers, lockers, and gym facilities • Casual work environment in a central Portland location

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