About this role
About ClarkClark is building the trust infrastructure for the AI economy.
We're starting with audit and accounting workflows—high-trust environments where reliability, accuracy, and security matter as much as product functionality. Our platform helps firms automate complex workflows, deploy AI safely, and build more efficient operations while maintaining the rigor professional services require.
We're building a world-class engineering team focused on reliability, product excellence, and AI-native workflows.
The RoleWe are hiring Senior Platform Engineers to build the product and systems through which customers experience Clark.
You will own features from initial customer problem through frontend experience, backend architecture, data models, integrations, deployment, and production operation.
This is a broad engineering role for someone who enjoys moving across the stack, working directly with users, and solving the highest-leverage technical problem regardless of where it lives.
You will help build customer-facing workflows, integrations, shared services, internal tools, and the engineering foundation that allows Clark to scale.
Why This Role MattersClark’s customers operate across complex workflows involving documents, accounting systems, workpapers, approvals, evidence, and collaboration. Our product must make those workflows simpler without sacrificing reliability, security, or control.
Full-stack engineers turn Clark’s AI capabilities into complete products that customers can deploy, understand, and trust. They also build the integrations and platform foundations that allow Clark to connect with existing systems and support increasingly complex enterprise workflows.
The systems you build will directly affect customer adoption, product velocity, reliability, and Clark’s ability to scale.
What You'll DoDesign and ship customer-facing product features from frontend through backend
Build intuitive interfaces for complex audit and accounting workflows
Design APIs, services, data models, background jobs, and application architecture
Work with AI engineers to turn AI capabilities into reliable, reviewable product experiences
Build integrations, connectors, synchronization systems, and data-ingestion workflows
Connect Clark with accounting platforms, document repositories, workflow tools, and customer systems
Build shared services and reusable product infrastructure
Improve application reliability, stability, scalability, and performance
Improve observability, monitoring, alerting, and operational tooling
Improve testing, deployment, and release processes
Investigate production issues and resolve performance bottlenecks
Integrate internal systems such as CRM, support, knowledge, communication, and operational tools
Partner directly with customers, Audit Engineers, Customer Success, Implementation, Sales, and Product
Translate ambiguous customer and business problems into well-designed technical solutions
Maintain high standards for security, data protection, maintainability, and operational excellence
Help establish the engineering practices and technical foundations that Clark will scale on
Who You Are5+ years of software engineering experience
Experience building and operating production web applications
Strong frontend and backend engineering fundamentals
Able to independently own features across user experience, application logic, data, and infrastructure
Experience designing APIs, data models, background processing, and integrations
Experience with modern web applications, relational databases, and cloud infrastructure
Strong product sense and empathy for customers
Comfortable working directly with users and incorporating feedback quickly
Excellent judgment around reliability, scalability, security, and maintainability
Comfortable debugging across application, integration, and infrastructure boundaries
Able to balance speed with long-term technical quality
High ownership, strong communication, and comfort operating in ambiguous environments
Excited to operate in person with a fast-moving, talent-dense team
BonusExperience building enterprise SaaS or complex workflow products
Experience building APIs, integrations, connectors, or data-synchronization systems
Experience with accounting systems, document-management systems, or professional-services workflows
Experience building products that incorporate LLMs or other AI capabilities
Experience with platform engineering, developer tooling, observability, or production reliability
Experience building internal tools and workflow automation
Experience with security, identity, access control, compliance, or regulated customer environments
Experience at an early-stage startup