Senior Software Developer

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.

• 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 (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 

1. Practical code challenge 

2. Manager interview

3. Culture & values conversation

4. Offer