Sr. Software Engineer - Engineering Enablement

You will own and evolve critical developer platform components that accelerate R&D productivity and AI-native development across the organization. In this senior individual-contributor role you will deliver production features, partner directly with engineering teams, and measure impact through adoption and productivity metrics. Remote.

Here’s How You’ll Make an Impact on the Team

• Own features and infrastructure end-to-end: design, implementation, testing, and production release with limited guidance
• Design and maintain shared CI/CD pipeline abstractions, templates, and reusable jobs used across multiple teams
• Build and operate AI tooling and MCP server infrastructure, including agent orchestration, scheduling, observability, cost controls, and security boundaries
• Own sandbox environment infrastructure: container orchestration, provisioning, lifecycle management, networking, and data isolation guardrails
• Drive adoption through documentation, onboarding programs, office hours, and direct team engagement
• Resolve systemic reliability issues (flaky tests, slow builds, caching inefficiencies) and partner with teams during migrations
• Instrument platform usage and productivity (DORA metrics, adoption rates, time-to-productivity) to demonstrate impact
• Participate in design discussions, code reviews, and mentor other engineers

• 5+ years of professional software engineering experience delivering production features and infrastructure
• Hands-on experience building and maintaining CI/CD systems at org scale (preferably GitLab CI and/or Jenkins)
• Experience building developer-facing tooling or platform services relied on by other engineers
• Hands-on experience with LLM developer tooling, MCP, agent orchestration, or AI harnesses
• Deep proficiency in Python or TypeScript with production experience
• Proficiency with Kubernetes and Helm at production scale on AWS or Azure
• Familiarity with infrastructure-as-code tools (Terraform, Pulumi, or equivalent)
• Proficiency with Git, Docker, automated testing, and modern scripting; active daily use of AI-assisted development tools
• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience

Here’s What Else Might Help You Out

• Prior Engineering Enablement, Platform Engineering, or Developer Productivity role with measurable developer velocity outcomes
• Experience building MCP servers or tool-integration layers for LLM systems
• Experience 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 regulated environments; exposure to SOC 2 or similar compliance from an engineering perspective

$150,000 - $190,000 a year - Full-time