Senior AIOps Engineer - AI/ML Reliability (Remote)

Porch.com, Inc.

Washington

Hybrid

USD 135,000 - 189,000

Full time

8 days ago

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Benefits offered by this job

Healthcare options
401(k) plan
Wellbeing programs

Job summary

Porch Group invites a Senior AIOps Engineer I to partner with product managers, platform engineers, data scientists, and ML engineers. You will ensure AI/ML systems are reliable, observable, secure, and cost-efficient in production, focusing on monitoring, drift, and deployment pipelines.

We use Python on Kubernetes (GKE) with Google Cloud and tools like Union Cloud, BentoML, Feast, and BigQuery. You will shape the stack to help teams ship AI features quickly and safely.

Qualifications

  • 4+ years of software engineering or production operations experience (SRE/DevOps/Platform/ML Platform).
  • Experience with Kubernetes-based architectures and cloud platforms.

Responsibilities

  • Own production reliability for AI/ML services with defined SLOs/SLIs and model refresh cycles.
  • Design monitoring, logging, and alerting for models and data pipelines; integrate metrics with observability stacks.
  • Improve CI/CD pipelines and deployment workflows for AI services; support batch predictions and ML workloads.
  • Operate AI infrastructure including gateways, RAG platforms, LLM observability tools, and no‑code agents.
  • Develop tooling to reduce manual operational work and support multi‑BU infrastructure provisioning.
  • Support data annotation platform health and bi-weekly annotation cycles.

Skills

Kubernetes
GCP
Python
CI/CD

Tools

Datadog
Terraform
BigQuery

Job description

Porch Group invites a Senior AIOps Engineer I to partner with product managers, platform engineers, data scientists, and ML engineers. You will ensure AI/ML systems are reliable, observable, secure, and cost-efficient in production, focusing on monitoring, drift, and deployment pipelines.

We use Python on Kubernetes (GKE) with Google Cloud and tools like Union Cloud, BentoML, Feast, and BigQuery. You will shape the stack to help teams ship AI features quickly and safely.

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