4+ years in implementation, professional services, deployment engineering, or a similar technical role.
Hands-on experience with Kubernetes, containers, and a major cloud platform (AWS, Azure, or GCP).
Familiarity with observability platforms and telemetry tools like Datadog, Grafana, or OpenTelemetry.
Proficient in writing and troubleshooting scripts, working with APIs, and automating technical tasks.
Strong project coordination and customer communication skills, capable of managing multiple engagements.
Experience with AI tools in technical workflows and a desire to develop reusable skills.
Background in migrating observability platforms or delivering cloud-native infrastructure.
Responsibilities
Lead implementation and migration projects from kickoff to production readiness.
Develop practical project plans with clear scope, milestones, and dependencies.
Collaborate with customer engineering teams to deploy groundcover and validate integrations.
Assist customers in migrating from platforms like Datadog and New Relic, including dashboards and alerts.
Enhance migration tools and workflows to improve delivery speed and accuracy.
Coordinate migration testing and cutover plans to ensure successful transitions.
Document configurations and decisions for customer enablement and future reference.
Work with cross-functional teams to address implementation challenges and improve products.
Benefits
Hybrid work model (3 days/week in office).
Opportunity to work closely with customers and enhance their technical capabilities.
Engagement in a growing team focused on innovative deployment solutions.
Access to cutting-edge tools and technologies in observability and AI.
Full Job Description
Description
We9re growing our Customer Success team with a Deployment Engineer who combines hands-on engineering with practical project management. You9ll work closely with customers during the first weeks of their engagement, helping them deploy groundcover and migrate from existing observability platforms. From the first planning session to production, you9ll turn complex transitions into clear, manageable projects and help improve the tools, automation, and AI skills that make each implementation faster and more reliable.
Location: San Francisco, CA or Boston, MA (Hybrid, 3 days/week in office)
What You9ll Do
Lead implementation and migration projects from kickoff through production readiness, customer acceptance, and handoff to the Technical Account Manager.
Build practical project plans with clear scope, milestones, owners, and dependencies. Keep customers and internal teams aligned on progress, risks, and next steps.
Work directly with customer engineering teams to deploy groundcover, configure integrations, and validate logs, metrics, and traces across their environments.
Help customers migrate from platforms such as Datadog, Coralogix, New Relic, and Grafana9s open-source and commercial offerings, including dashboards, alerts, queries, and operational workflows.
Use and improve migration tools, scripts, and reusable AI skills and workflows. Validate their outputs to increase delivery speed, accuracy, and repeatability.
Coordinate migration testing and cutover plans, helping customers verify coverage and resolve gaps before completing the transition.
Deliver practical enablement and document configurations, decisions, and remaining actions so customers and TAMs can build on a successful implementation.
Partner with Solution Engineers, TAMs, Support, Product, and Engineering to remove blockers and turn recurring implementation challenges into product and tooling improvements.
Requirements
4+ years in implementation, professional services, deployment engineering, solutions engineering, or a comparable technical role- Must
Hands-on experience with Kubernetes, containers, and at least one major cloud platform: AWS, Azure, or GCP - Must
Experience with observability platforms and telemetry pipelines, including tools such as Datadog, Grafana, Prometheus, or OpenTelemetry - Must
Ability to write and troubleshoot scripts, work with APIs, and use automation to simplify repetitive technical tasks.
Strong project coordination and customer communication skills, with the ability to manage parallel engagements and explain technical tradeoffs clearly.
Experience using AI tools in technical workflows, with an interest in building reusable skills and validating results.
experience migrating observability platforms or delivering production cloud native infrastructure rollouts.
