Job Description

Software Engineer

Location: NYC (Hybrid)

Type: Full-Time

About Us

We're building the AI Finance Analyst for healthcare operators —designed to help leaders at medical groups and health systems run their business with the same clarity and agility they expect in clinical operations. Our product acts like an embedded analyst, surfacing insights across service lines, contracts, and staffing—without needing deep technical or financial expertise.

In less than a year, we've raised $7M from NEA, FPV, and Virtue. We're now preparing to scale with the next wave of enterprise healthcare customers—and we're growing the team to do it.

About the Role

As a Software Engineer at Translucent, you'll build the foundational systems that power our AI financial analyst. You'll work across our technology stack—from data ingestion and processing pipelines to the APIs and services that deliver complex financial insights in simple, actionable formats.

You'll collaborate closely with our AI Engineers, Forward Deployed Engineers, and domain experts to create robust, scalable systems that healthcare operators can trust with their most critical business decisions.

Responsibilities

• Design and build scalable backend systems and APIs that support our AI-driven financial analysis platform
• Develop data processing pipelines that handle complex healthcare financial data from multiple sources
• Build services and integrations that make sophisticated financial insights accessible to healthcare operators
• Collaborate with AI Engineers to integrate LLM workflows and ensure reliable performance at scale
• Work with Forward Deployed Engineers to implement customer-specific business logic and integrations
• Own system reliability, performance monitoring, and optimization across the platform
• Participate in architectural decisions as we scale to serve enterprise healthcare customers

What You Bring

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Strong software engineering fundamentals and problem-solving skills
• Proficiency in modern programming languages (Python, Go, Java, or similar)
• Experience with APIs, databases, and cloud infrastructure
• Understanding of software design patterns, testing, and deployment best practices
• Customer-first mindset : Driven to understand healthcare operators' pain points and build solutions that truly solve their problems
• Startup mentality : Ready to sprint when priorities shift, jump into unfamiliar areas when the team needs it, and wear multiple hats
• Owner mentality : Take end-to-end ownership of features and systems, driving them from conception to customer impact
• Strong judgment on trade-offs : Balance shipping quickly to learn from customers against investing in longer-term technical foundations
• Excellent communication skills and ability to collaborate across technical and non-technical teams
• Interest in healthcare and complex enterprise systems

Experience Level

We typically look for candidates with 3+ years of professional software development experience, but we're most interested in engineers who can make meaningful contributions from day one. We welcome applications from exceptional early-career developers who demonstrate strong technical skills, a proven track record of building impressive projects, and the ability to thrive in a fast-paced startup environment.

Bonus Points

• Experience with distributed systems and high-scale data processing
• Familiarity with AI/ML systems and working alongside data science teams
• Experience with financial systems or healthcare technology
• Previous startup or fast-growth company experience
• Track record of driving customer impact through technical decisions

Why Translucent

We're building healthcare's AI financial analyst. We help providers make faster, smarter, and more confident decisions without digging through dashboards or waiting on analyst teams. Backed by top-tier investors, our team combines deep healthcare expertise and technical excellence to reinvent how work gets done in healthcare systems.

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