Sr. Software Engineer - Engineering Enablement

MeridianLink, Inc.

Job Overview

Location

US Remote

Job Type

Full-time

Full Job Description

📋 Description

• Own end-to-end design, development, and production release of shared CI/CD infrastructure used by hundreds of R&D engineers across the organization.
• Build and maintain AI-native development tooling including MCP servers, agent orchestration harnesses, reusable skills, plugins, and slash commands integrated with internal systems like Jira, Confluence, and GitLab.
• Design and operate shared sandbox environments for autonomous AI agents, managing container orchestration, environment provisioning, networking, resource allocation, cost controls, and security guardrails for data isolation.
• Create pipeline abstractions (templates, shared jobs, reusable configs) that work across multiple teams and tech stacks while balancing standardization and flexibility at scale.
• Resolve systemic reliability issues in CI/CD pipelines including flaky tests, slow builds, caching inefficiencies, and deployment failures.
• Partner with engineering teams during migrations to adopt shared infrastructure without disrupting delivery timelines.
• Instrument and measure platform impact using DORA metrics, adoption rates, and time-to-productivity data to validate engineering investments.
• Drive adoption of AI tooling and platform services through documentation, onboarding programs, office hours, and direct engagement with engineering teams.
• Maintain the internal best practices hub and AI development playbook to reduce tribal knowledge and standardize workflows.
• Monitor shipped infrastructure, respond to incidents, and follow issues to resolution with ownership and urgency.
• Write tests that catch regressions without over-engineering, ensuring platform reliability without unnecessary complexity.
• Put institutional knowledge into shared systems rather than siloed individual expertise.
• Participate actively in code reviews with constructive, specific feedback and contribute to design discussions across engineering.
• Mentor other engineers on the team and contribute to documentation and onboarding materials that scale knowledge across the organization.
• Collaborate with product teams to understand their sandbox configuration needs while maintaining the integrity and security of the underlying platform.
• Keep CI/CD pipelines healthy, observable, and continuously improving through proactive monitoring and iterative enhancements.
• Build and maintain infrastructure-as-code using Terraform, Pulumi, or equivalent tools to manage cloud resources on AWS or Azure.
• Operate Kubernetes and Helm at production scale to support developer-facing platform services.
• Use AI-assisted development tools daily and apply firsthand experience to improve tooling for peers.
• Balance technical execution with product thinking: gather requirements, triage feedback, and prioritize backlog items based on team impact and adoption.
• Ensure all shared tooling and infrastructure comply with security and compliance standards relevant to financial services environments.

🎯 Requirements

• 5+ years of professional software engineering experience delivering features and infrastructure independently in production
• 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 other engineers depend on
• Hands-on experience with LLM developer tooling: MCP, LLM APIs, agent orchestration, or AI harnesses (Claude Code, Cursor, Copilot Workspace, or equivalent)
• Deep proficiency in Python or TypeScript with production experience sufficient to own and deliver real features
• Proficiency with Kubernetes and Helm at production scale on AWS or Azure

🏖️ Benefits

• Opportunity to drive adoption of AI-native development practices across a large engineering organization
• Direct impact on engineering velocity measured through DORA metrics and adoption rates
• Work on cutting-edge developer infrastructure supporting autonomous AI agents and shared tooling
• Collaborative environment focused on mentoring, knowledge sharing, and making other engineers more productive

Skills & Technologies

Python

TypeScript

AWS

Azure

Docker

Senior

Remote

Degree Required

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MeridianLink, Inc.

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About MeridianLink, Inc.

MeridianLink provides cloud-based software for banks, credit unions, and mortgage lenders to manage loan origination, account opening, credit reporting, and deposit products. The platform automates underwriting workflows, integrates with credit bureaus and core banking systems, and offers analytics for risk management and regulatory compliance. Customers use the APIs and configurable modules to streamline consumer, small-business, and mortgage lending operations while ensuring data security and audit standards.

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