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 do Own 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 (Postgre
SQL) 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 What you’ll bring 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 (Postgre
SQL); performance tuning experience a plus
Experience with AWS , containers, CI/CD pipelines, and automated testing Security-first mindset: auth
N/auth
Z, 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
Experience with AI (nice to have) 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 Nice to have
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 Graph
QL, 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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