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Salary not listed
On-site2+ YOESales Engineering
About the role
Responsibilities
Deploy, operate, and debug Pulse services in Kubernetes-based environments
Work directly with customers to support production rollouts, pilots, and ongoing operations
Configure and optimize extraction pipelines, schemas, and validation workflows
Diagnose accuracy, latency, and infrastructure issues across distributed systems
Build internal tools and customer-facing utilities in Python to support deployments
Support API integrations, webhooks, and downstream data delivery workflows
Collaborate with core engineering to surface product gaps and improve platform reliability
Own operational excellence for customer-facing deployments, including monitoring and incident response
Requirements
2+ years building and operating production systems (new grads with strong infra experience considered)
Strong experience with Kubernetes, including deploying, debugging, and operating services in production
Proficiency in Python for backend services, tooling, and automation
Experience working with APIs, distributed systems, and asynchronous workflows
Comfort working directly with customer engineering teams on technical deployments
Strong debugging skills across application, infrastructure, and data layers
Clear written and verbal communication, with a bias toward ownership and execution
Nice to Have
Experience running workloads on AWS, GCP, or Azure
Familiarity with Docker, Helm, Terraform, or similar tooling
Experience with observability tooling (metrics, logs, tracing)
Background in data infrastructure, ML platforms, or document processing systems
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