Hybrid Senior Platform Engineer: AI-Driven Automation & SRE

Medallia, Inc.; McLean (VA); Híbrido; USD 135 000 - 180 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Dental & Vision

401(k)

Parental leave

Paid holidays

Resumo da oferta

Medallia, Inc. is seeking an experienced Site Reliability Engineer who codes like an engineer and operates like an SRE. You’ll own automation, provisioning, deployment, and incident response across Kubernetes, cloud, and on-prem environments.

You’ll work in a fast-paced, high-visibility team with on-call rotations, implementing AI-assisted tooling, canary releases, and robust runbooks to maintain production reliability while moving quickly.

Qualificações

• 5+ years in SRE, software development, or platform engineering with real hands-on coding.
• Demonstrated development experience: can build, review, and ship production code independently.
• Comfortable blending AI-assisted coding and agentic tools in daily work.
• Demonstrated Kubernetes deployments, Helm, GitOps, canary/blue-green releases.

Responsabilidades

• Build automation and tooling that eliminates manual ops work, not patches.
• Use AI coding assistants and agentic workflows as a core part of daily engineering.
• Own platform lifecycle: provisioning, deployment, scaling, and decommissioning across Kubernetes, cloud, and on-prem.
• Troubleshoot full-stack production issues, from database to API to infra.
• Drive database and infrastructure hygiene: cloning, migration, decommissioning, orphan cleanup.
• Sit in the on-call rotation and own escalations end to end.
• Move fast without cutting corners; meticulous execution under time pressure.

Conhecimentos

Hands-on coding

Kubernetes

Python

Go

Incident management

On-call experience

AI-assisted tooling

Ferramentas

Terraform

ArgoCD

Jenkins

Kubernetes tooling

Descrição da oferta de emprego

Medallia, Inc. is seeking an experienced Site Reliability Engineer who codes like an engineer and operates like an SRE. You’ll own automation, provisioning, deployment, and incident response across Kubernetes, cloud, and on-prem environments.

You’ll work in a fast-paced, high-visibility team with on-call rotations, implementing AI-assisted tooling, canary releases, and robust runbooks to maintain production reliability while moving quickly.