Senior AIOps Engineer

🕒 vor 7 Tagen

☕ Washington – Remote

☕ Washington – Remote

💵 $135.000 - $189.000 / Jahr

⏰ Vollzeit

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 20%

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 8 Tagen offen.
• Stellen bei diesem Unternehmen werden meist in 26 Tagen besetzt.
• 56 offene Stellen bei 52 Mitarbeitenden.

Jetzt Bewerben

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PORCH 💚

WebsiteLinkedInAlle Stellen

1 - 10 Mitarbeiter

Gegründet 2022

💼 Beratung

🏥 Gesundheitswesen

🏨 Gastgewerbe

Consulting • Healthcare • Hospitality

PORCH 💚 ist ein Versicherungsunternehmen der nächsten Generation, das umfassende Software und Dienstleistungen für verschiedene Hausdienstleistungsbranchen bietet. Es vereinfacht die Interaktionen für Fachleute im Bereich Hausservices, Versorgungsunternehmen, Immobilienmakler und Hauseigentümer, indem es Werkzeuge für Inspektionen, Umzüge, Hypothekenprozesse und Hauswartung bereitstellt. Durch seine Partnerschaften verbessert Porch das Erlebnis beim Hauskauf, indem es Dienstleistungsanfragen vereinfacht, neue Kunden für Garantie- und Versicherungsunternehmen gewinnt und bei Renovierungsprojekten unterstützt.

Beschreibung

• Own production reliability for AI/ML services by monitoring availability and performance • Define SLOs and SLIs tied to user experience and business impact • Own recurring model refresh cycles, including retraining, validation, and redeployment • Design and implement monitoring, logging, and alerting for models and data pipelines • Integrate model and system metrics with observability stacks and dashboards including Datadog and Opik • Streamline AI service deployment workflows, including blue/green, canary, A/B, and shadow deployments • Improve CI/CD pipelines and release processes for AI services • Support productionization of image-based ML models and batch prediction workflows • Provision, deploy, configure, and maintain AI infrastructure including AI gateways, RAG platforms, LLM observability tools, agentic workflows, and no-code agent builders • Build automation and tooling for model promotion, configuration, environment management, and Docker image maintenance • Support multi-business-unit infrastructure provisioning across environments, projects, roles, and CI/CD integrations • Own operational health of Label Studio, including GCS buckets, BigQuery pipelines, database, and SSO dependencies • Support bi-weekly annotation project cycles • Stand up and operate RAG and vector database infrastructure, embedding pipelines, and context retrieval APIs • Optimize embedding storage and retrieval performance at scale • Monitor and optimize LLM token usage and costs across providers • Maintain centralized cost-tracking dashboards and alerting across business units • Recommend cost-efficient model routing and provider selection strategies • Participate in an on-call rotation for AI/ML systems • Triage and resolve production incidents • Lead and contribute to post-incident reviews • Develop production-grade Python services and tooling on Kubernetes • Apply testing, code reviews, CI/CD, observability, and security practices • Document standards, architecture diagrams, and operational playbooks for other teams • Partner with product managers, platform engineers, data scientists, and machine learning engineers

🎯 Anforderungen

• 4+ years of applicable experience, including at least 3 years in commercial software engineering or production operations (SRE, DevOps, Platform, or ML Platform) • Experience operating services on Kubernetes and/or major cloud platforms • Experience operating production systems at scale, preferably distributed, microservices-based, or Kubernetes-based architectures • Strong GCP experience preferred, including GKE, BigQuery, Pub/Sub, Vertex AI, Cloud SQL, GCS, and IAM • Hands-on experience with CI/CD tools and deployment automation such as GitLab CI/CD or GitHub Actions • Experience with infrastructure-as-code tools, preferably Terraform • Experience with monitoring, logging, and alerting tools such as Datadog, Prometheus, Grafana, or ELK/EFK • Experience with container management and Docker image lifecycle • Experience operating and administering self-hosted open-source tools on Kubernetes, including installation, configuration, upgrades, security hardening, backup, and disaster recovery • Understanding of machine learning concepts and model lifecycles • Familiarity with common ML tooling • Familiarity with LLM ecosystem tooling is a strong plus • Strong computer science and programming fundamentals • Ability to write high-quality software using TDD, SOLID principles, clean code, and robust documentation • Experience with Python-based data and ML stacks such as NumPy, SciPy, Pandas, and Scikit-Learn is a plus • Experience with PyTorch is a plus • Experience building or operating ML infrastructure is highly desirable • Ability to communicate effectively with data scientists, ML engineers, and product stakeholders • Comfort participating in an on-call rotation • Must be eligible to work in the United States; Porch Group does not consider remote applicants from Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West Virginia, or the District of Columbia

🏖️ Vorteile

• Long-term incentive awards, subject to program guidelines and approvals • Comprehensive health, life, and financial wellbeing coverage • Three medical plan options • Two dental plan options • Vision plan • Voluntary Critical Illness, Hospital Indemnity, and Accident plans • Partially employer-funded Health Savings Account • Flexible Savings Accounts for healthcare, dependent care, and transportation • Company-paid Basic Life and AD&D insurance • Short- and Long-Term Disability benefits • Voluntary Life and AD&D plans • Traditional and Roth 401(k) plans with discretionary employer match • Employer-paid Supportlinc wellbeing program • Guided meditation and mindfulness exercises • Mental health coaching and clinical care • Confidential resources including will preparation • LifeBalance discounts on gym memberships, travel, appliances, movies, pet insurance, and more • Flexible paid vacation • Company-paid holidays, typically nine per year • Paid sick time • Paid parental leave • Identity theft program • Travel assistance • Fitness and other discount programs • Remote work arrangement

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