Porch Group

Porch Group

Senior AIOps Engineer I

IN Remote, IN · Senior

Sponsorship not specifiedDetected 28 days ago
PythonCode ReviewGitSQLBigQueryVector DatabasesGCPDockerKubernetesTerraformCI/CDGitHub ActionsPrometheusGrafanaDatadogDevOpsSite Reliability EngineeringMachine LearningPyTorchPandasNumPyData EngineeringLLMsRAG

About the role

  • The future is bright for the Porch Group, and we'd love for you to be a part of it as our Senior AIOps Engineer I
  • You'll help evolve our AI & ML Ops stack and operational processes so teams can ship AI features quickly and safely.

Responsibilities

  • Define and maintain SLOs/SLIs for critical AI systems (e.g., latency, error rates, model performance), tying them to user experience and business impact where possible.
  • Own recurring model refresh cycles - coordinate retraining, validation, and redeployment of production models to prevent staleness and drift.
  • Design and implement monitoring, logging, and alerting for models and data pipelines in partnership with AI Engineers and Data Scientists.
  • Collaborate with data scientists and ML engineers to streamline deployment workflows for models and related services (blue/green, canary, A/B, shadow deployments).
  • Support the productionization of image-based ML models, including batch prediction workflows, model performance monitoring, and data pipeline integration.
  • Provision, deploy, configure, and maintain new AI infrastructure components as they are adopted across the organization - including AI gateways, RAG platforms, LLM observability tools, agentic workflows, and no-code agent builders.
  • Utilize and improve existing frameworks and tools (e.g., Union Cloud, BentoML, Feast, Kubernetes, Terraform, and GCP services) to support robust and maintainable AI infrastructure.
  • Build automation and tooling to reduce manual operational work, especially around model promotion, configuration, environment management, and Docker image maintenance.
  • Support multi-BU infrastructure provisioning - create and manage separate environments, projects, roles, and CI/CD integrations for different business units
  • Maintain the supporting infrastructure around Label Studio, including GCS storage buckets and BigQuery data pipelines that feed annotation projects; coordinate with Platform/IT partners for database and SSO dependencies.

Nice to have

  • GKE (Kubernetes Engine)
  • BigQuery (data warehousing, SQL, schema management)
  • Pub/Sub (event messaging)
  • Vertex AI (batch prediction, model deployment)
  • Cloud SQL, GCS, IAM
  • CI/CD tools and deployment automation (GitLab CI/CD, GitHub Actions, or similar).
  • Infrastructure-as-code tools, preferably Terraform.
  • Monitoring, logging, and alerting tools (e.g., Datadog, Prometheus, Grafana, ELK/EFK, or similar).

Skills

  • Our AI/ML stack is based on Python and runs on Kubernetes (GKE) and Google Cloud Platform.

Compensation

  • Pay Range*: INR 2,475,000 INR - 3,465,000 Annually

Benefits

  • Build and maintain monitoring workflows for pipeline health.
  • Own the operational health of Label Studio - our production data annotation platform used for ground truth collection, model evaluation, and ML training dataset creation.
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This listing is sourced directly from Porch Group's careers page and normalized into a canonical job model.