Senior Platform Engineer

Equiforte; New York, Northern (NY, KY); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Equiforte is seeking a Senior Platform Engineer to design and scale the core infrastructure behind our AI-native financial reporting platform. You will work at the intersection of distributed systems, data engineering, and financial domain logic to process millions of records with high accuracy.

You will own data pipelines, core services, and production reliability on AWS, collaborate with ML engineers, and mentor junior engineers while shaping engineering culture.

Qualifications

• 5+ years of professional software engineering experience.
• Experience designing and operating distributed systems on AWS.
• Deep PostgreSQL experience with query optimization and schema design.
• Own production services end-to-end — from design through deployment and on‑call.

Responsibilities

• Design and build data ingestion pipelines from multiple sources.
• Architect and implement core platform services including the reporting engine.
• Ensure reliability and performance of production systems handling sensitive financial data.
• Collaborate with ML engineers to deploy models in production with low-latency inference.
• Drive architectural decisions with focus on observability and operational simplicity.
• Mentor junior engineers and contribute to engineering culture.

Skills

Distributed systems

AWS

PostgreSQL

Data pipelines

On-call ownership

Technical communication

Terraform

Pulumi

Tools

Terraform

Pulumi

Job description

As a Senior Platform Engineer at Equiforte, you will build and scale the core infrastructure that powers our AI-native financial reporting platform. You'll work at the intersection of distributed systems, data engineering, and financial domain logic — designing systems that process millions of financial records with the precision that institutional investors demand.

What you'll do

• Design and build the data ingestion pipelines that connect to fund administrators, market data providers, and portfolio company data sources
• Architect and implement the platform's core services — including the reporting engine, calculation framework, and API layer
• Own the reliability and performance of production systems handling sensitive financial data for private capital firms managing $10B+ in AUM
• Collaborate with ML engineers to deploy and serve AI models in production with low-latency inference and high availability
• Drive technical decisions on architecture, tooling, and infrastructure with a focus on correctness, observability, and operational simplicity
• Mentor junior engineers and contribute to engineering culture through code reviews, design documents, and knowledge sharing

This role reports to the VP of Engineering and works closely with the ML Engineering and Product teams.

What We're Looking For

Requirements

• 5+ years of professional software engineering experience
• Experience designing and operating distributed systems on AWS (ECS, Lambda, RDS, SQS, or equivalent)
• Deep understanding of relational databases (PostgreSQL preferred) including query optimization and schema design
• Experience building data pipelines that process large volumes with high reliability
• Track record of owning production services end-to‑end — from design through deployment and on‑call
• Strong written communication skills — we make decisions through design documents and async discussion

Nice to Have

• Experience in financial services, fintech, or fund administration
• Familiarity with private capital concepts (NAV, waterfalls, capital calls, IRR)
• Experience with ML model serving and inference infrastructure
• Contributions to open-source projects
• Experience at a high-growth startup (Series A through C)
• Infrastructure-as-code experience with Terraform or Pulumi