Software Engineer – Platform Services

MeridianLink is a company focused on providing identity, authentication, and integration capabilities across its multi-product SaaS platform. They are seeking a mid-level Software Engineer for their Platform Services team to build and maintain foundational systems, specifically in federated identity and authorization infrastructure, while utilizing AI-assisted development tools to enhance workflow efficiency.

Responsibilities:

• Build and extend platform services that manage federated identity, authentication flows, and authorization enforcement across MeridianLink products
• Implement integrations with the centralized identity platform, including token handling, session management, user provisioning, and tenant configuration
• Support product teams through their integration process: help them understand the platform's contracts, debug integration issues, and navigate edge cases in multi-tenant identity behavior
• Build the tooling, documentation, and examples that make those integrations repeatable and self-service over time
• Design and implement backend service integrations using common patterns (REST APIs, event-driven messaging, webhook delivery) in Python
• Build with multi-product and multi-tenant scenarios in mind: data isolation, tenant-scoped configuration, and cross-product user identity are properties of the platform, not edge cases
• Participate in API design reviews with attention to clarity, contract stability, and developer experience for downstream consumers
• Use AI development tools as an active part of the delivery workflow: for code generation, design validation, test scaffolding, and investigation
• Contribute to AI harness development that helps the team move faster and catch regressions without proportionally increasing manual effort
• Share what's working across the team; help establish repeatable patterns for AI-assisted engineering on Platform Foundation
• Write tests at the unit, integration, and acceptance level appropriate to what's being built
• Instrument services for observability: structured logging, metrics, and alerting that make production behavior visible and actionable
• Participate in on-call rotations and follow incidents through to root cause and remediation
• Participate in design discussions and code reviews; give and receive feedback constructively
• Provide mentorship and review support to L1 and L2 engineers on the team
• Contribute to internal documentation, runbooks, and onboarding materials

Requirements:

• 3-5 years of professional software engineering experience, with demonstrated ability to own and deliver features independently in a production environment
• Hands-on experience building backend services in .NET or Python, including RESTful API development
• Demonstrated experience implementing or integrating with federated identity systems using OAuth 2.0, OIDC, SAML 2.0, and/or JWT in production applications
• Practical understanding of authorization frameworks: how policies are modeled, enforced, and integrated into application and platform services
• Proficiency in .NET or Python for backend service development; familiarity with modern API frameworks (e.g., .NET 9+, FastAPI, etc.)
• Working knowledge of identity protocol mechanics: authorization code flow, token introspection, claims-based access, assertion handling, and SSO logout behavior
• Experience with multi-tenant SaaS integration patterns, including tenant-scoped configuration and user identity across application boundaries
• Familiarity with cloud platforms (AWS preferred), including relevant managed services for networking, compute, and secrets management
• Proficiency with standard development tooling: Git, CI/CD pipelines, containerization (Docker), and automated testing
• Active use of AI-assisted development tools (Claude Code, Codex, or equivalent) as part of a daily engineering workflow
• Prior experience working with a commercial or open-source identity platform (e.g., an OIDC provider, IAM system, or enterprise SSO solution) in an engineering capacity, not just as a consumer
• Experience modeling and implementing fine-grained authorization: RBAC, ABAC, or policy-based access control systems
• Familiarity with token security considerations including signing, expiration, revocation, and safe storage patterns
• Prior experience building software in a financial services, fintech, or otherwise regulated technology environment
• Experience building internal platform capabilities used by other engineering teams, not just end-user-facing features
• Exposure to SOC 2 or similar compliance frameworks from an engineering perspective
• Experience contributing to AI harnesses, evaluation pipelines, or tooling that improves engineering workflow throughput
• Comfort using AI tools not just for code completion but for design exploration, test generation, and investigation
• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent demonstrated experience