Deployment Engineer (Cloud Observability)

Location: San Francisco, CA or Boston, MA; hybrid with 3 days per week in the office

Company

hirify.global provides a cloud-native observability platform that combines infrastructure, application, and service visibility using eBPF and runs in customers' own cloud environments.

What you will do

• Lead implementation and migration projects from kickoff through production readiness, customer acceptance, and handoff to Technical Account Managers.
• Create project plans covering scope, milestones, owners, dependencies, risks, and next steps.
• Deploy hirify.global, configure integrations, and validate logs, metrics, and traces across customer environments.
• Migrate dashboards, alerts, queries, and operational workflows from Datadog, Coralogix, New Relic, and Grafana.
• Coordinate migration testing and cutovers, resolve coverage gaps, and document configurations and remaining actions.
• Improve migration tools, scripts, reusable AI workflows, and implementation processes in partnership with Solution Engineering, TAM, Support, Product, and Engineering.

Requirements

• 4+ years of experience in implementation, professional services, deployment engineering, solutions engineering, or a comparable technical role.
• Hands-on experience with Kubernetes, containers, and at least one major cloud platform: AWS, Azure, or GCP.
• Experience with observability platforms and telemetry pipelines, including Datadog, Grafana, Prometheus, or OpenTelemetry.
• Ability to write and troubleshoot scripts, work with APIs, and automate repetitive technical tasks.
• Strong project coordination and customer communication skills, including managing parallel engagements and explaining technical trade-offs.
• Experience using AI tools in technical workflows and migrating observability platforms or delivering production cloud-native infrastructure rollouts.

Culture & Benefits

• Customer-facing work across engineering, technical account management, support, product, and engineering functions.
• Focus on practical automation, reusable workflows, delivery speed, accuracy, and repeatability.
• Hybrid work arrangement with regular in-office collaboration in San Francisco or Boston.