Senior CX Platform Engineer

Remote · United States of America · USD 139,200-235,200 · Remote · Posted Oct 7, 2026

At a glance

As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI).
You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership.
This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery.

Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation.
Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks.
Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding.
Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems.
Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path.
Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks.
Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters.
Contribute upstream to GitLab and share product feedback with Product and Engineering.
Mentor engineers and non-engineers on agentic development and raise the team's code review bar.

Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff.
Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work.
Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations.
Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data.
Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta.
Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD.
Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials.

Agent harness customization
The GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing
Enterprise agent governance and data controls
Customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries
Professional services economics and customer success metrics
Snowflake or similar warehouses
Technical writing, talks, or open source contributions on agentic development

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