Senior Software Engineer (Engineering Enablement)

Join MeridianLink as a Senior Software Engineer on the Engineering Enablement team. In this hands-on role, you will build and maintain the shared CI/CD infrastructure, AI development tooling, and sandbox environments that hundreds of R&D engineers depend on. You will drive adoption across engineering teams and own a significant chunk of the platform. Success will be measured by how much faster you make everyone else.

• Conception, design, and implementation of shared CI/CD infrastructure, AI development tooling, and sandbox environments.
• Ownership of features and infrastructure end-to-end, including design, production release, and monitoring.
• Driving adoption of the platform across engineering teams, measuring impact with DORA metrics and adoption rates.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of professional software engineering experience, delivering features and infrastructure independently in production
• Experience building developer-facing tooling or platform services other engineers depend on
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
• Hands-on experience building and maintaining CI/CD systems at org scale, preferably GitLab CI and/or Jenkins
• Proficiency with Kubernetes and Helm at production scale on AWS or Azure
• Deep proficiency in Python or TypeScript, with production experience sufficient to own and deliver real features
• Hands-on experience with LLM developer tooling: MCP, LLM APIs, agent orchestration, or AI harnesses (Claude Code, Cursor, Copilot Workspace, or equivalent)
• Active daily use of AI-assisted development tools
• Experience designing shared pipeline abstractions and CI/CD infrastructure used by multiple teams
• Proficiency with standard development tooling: Git, Docker, automated testing, and modern scripting languages
• Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with direct measurement of developer velocity
• Experience building MCP servers or tool-integration layers for LLM-based systems
• Experience building or operating infrastructure for autonomous AI agents: sandboxed execution, scheduling, observability, cost management
• Familiarity with DORA metrics and developer productivity instrumentation
• Experience with JFrog Artifactory, Nexus, or equivalent artifact management systems
• Prior experience in financial services, fintech, or a regulated technology environment
• Exposure to SOC 2 or similar compliance frameworks from an engineering perspective