Limelight is a B2B SaaS company building secure, accurate FP&A software for finance teams. Our platform powers planning, forecasting, reporting, and deep ERP integrations — where data accuracy, security, and reliability are non-negotiable.
We’re looking for a senior full-stack engineer who enjoys solving complex problems, owning features end-to-end, and building software that finance teams trust with their most critical data.
What you’ll doOwn and ship end-to-end product features across our React + TypeScript frontend and Node.js / Java backend
Design and evolve clean, well-documented APIs and data models (PostgreSQL)
Build and maintain secure, scalable integrations (e.g., ERP/accounting connectors)
Improve performance of multi-dimensional reports, planners, and analytical workloads
Develop background jobs, async processing, and data pipelines
Contribute to architecture decisions, code reviews, and release planning
Partner closely with Product, Design, and Customer teams to translate real finance workflows into intuitive product experiences
Help evolve our platform to support AI-powered analysis and automation, with strong guardrails around accuracy and trust
5–8+ years building and shipping production SaaS applications
Strong experience with React + TypeScript (hooks, state management, testing)
Back-end strength in Node.js (TypeScript) and/or Java (Spring Boot)
Solid SQL and data modeling skills (PostgreSQL); performance tuning experience a plus
Experience with AWS, containers, CI/CD pipelines, and automated testing
Security-first mindset: authN/authZ, least privilege, secrets management, input validation
Comfort working in SOC 2–style environments or other regulated systems
Clear communicator with strong ownership instincts — you finish what you start
Integrating LLM-powered features (e.g., OpenAI, Azure OpenAI, Anthropic)
Building AI workflows that query structured data safely and deterministically
Experience with prompt design, evaluation, logging, and guardrails
Using AI to enhance analytics, narrative insights, or decision support
Experience with financial systems, accounting software, or ERP integrations (e.g., Sage Intacct)
Familiarity with multi-entity / multi-dimension financial data models
OLAP, analytics engines, or reporting systems experience
GraphQL, event-driven systems, queues, or background workers
Experience in a small, high-impact product team
Interview process
Practical code challenge
Manager interview
Culture & values conversation
Offer
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