Senior AIOps Engineer | Remote ML Reliability Leader

Porch Group; United States; Remote; USD 135,000 - 189,000; Full time

Benefits offered by this job

Health, life and financial wellbeing

Company-paid holidays

Flexible paid vacation

Pre-tax savings options (HSA/FSAs)

Discretionary 401(k) employer match

Job summary

Porch Group is hiring a Senior AIOps Engineer I to partner with product managers, platform engineers, and ML teams to ensure reliable, observable and cost-efficient AI/ML systems in production. You will work with Python on Kubernetes (GKE) in Google Cloud, build scalable monitoring, CI/CD and deployment workflows, and help scale our GenAI and RAG infrastructure.

Join a fast-paced, collaborative environment focused on delivering robust AI/ML platforms, incident response, and proactive performance

Qualifications

• 4+ years of experience in commercial software engineering or production operations (SRE/DevOps/ML Platform).
• Experience operating production systems at scale, distributed or Kubernetes-based.
• Strong GCP experience including GKE, BigQuery, Pub/Sub, Vertex AI, Cloud SQL, GCS and IAM.
• Hands-on with CI/CD tools and IaC (Terraform), monitoring/logging/alerting tools (Datadog, Prometheus, Grafana).
• Experience with Docker and Kubernetes including security and disaster recovery.
• Familiarity with ML tooling and LLM ecosystem is a strong plus.
• Excellent communication with data scientists, ML engineers, and product stakeholders.

Responsibilities

• Own production reliability for AI/ML services, define SLOs/SLIs and manage model refresh cycles.
• Design monitoring and alerting for models and data pipelines; integrate with observability stacks.
• Improve CI/CD pipelines and deployment workflows for AI services and batch inference.
• Provision and maintain AI infrastructure including AI gateways, LLM observability, and RAG platforms.
• Build automation to reduce manual operations and support multi-BU environments.
• Maintain operational health of Label Studio and related data pipelines.
• Stand up RAG and vector database infrastructure; optimize embedding storage/retrieval at scale.
• Monitor and optimize LLM token usage and cost; maintain cost-tracking dashboards.
• Participate in on-call rotations; lead post-incident reviews for continuous improvement.
• Develop production-grade Python services on Kubernetes with strong engineering practices.

Skills

Curious mindset

4+ years experience

Kubernetes experience

GCP experience

CI/CD tooling

Python programming

Observability/monitoring

Cost optimization

Tools

Datadog

Prometheus

Grafana

Terraform

GitLab CI/CD

GitHub Actions

Docker

Kubernetes

BigQuery

GCP services

Union Cloud

BentoML

Feast

Label Studio

Job description

Porch Group is hiring a Senior AIOps Engineer I to partner with product managers, platform engineers, and ML teams to ensure reliable, observable and cost-efficient AI/ML systems in production. You will work with Python on Kubernetes (GKE) in Google Cloud, build scalable monitoring, CI/CD and deployment workflows, and help scale our GenAI and RAG infrastructure.

Join a fast-paced, collaborative environment focused on delivering robust AI/ML platforms, incident response, and proactive performance