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RE Partners Tech Stack

Enterprise software modernization and engineering services for financial and SaaS clients

IT Services and IT Consulting New York, NY 201–500 employees Founded 2019 Privately Held

RE Partners is a 200+ person consulting firm built around custom application development, business process redesign, and cloud transformation—with heavy concentration in Java, Spring Boot, AWS, and Kubernetes. The hiring mix is almost entirely engineering-focused (31 of 37 open roles), skewed toward senior and principal-level talent, suggesting they're scaling delivery capacity for complex, high-touch client engagements rather than sales expansion. Active projects span transaction monitoring, low-latency payment systems, and LLM integration, grounded in a pain-point pattern around financial services infrastructure (FX rollout, market data, payment processing) where speed and stability are non-negotiable.

Tech Stack 78 technologies

Core StackJava OpenShift AWS AWS Lambda MongoDB Kubernetes Go Terraform TypeScript React C# Scala Kafka RabbitMQ Docker Rippling SWIFT Oracle Shopify Spring Boot AWS ECS AWS EKS Gin Revel Beego GraphDB Solace ISO 20022 Algolia IBM MQ+45 more
AdoptingKubernetes Shopify AWS EKS Algolia

What RE Partners Is Building

Challenges

  • Low latency, high-throughput backend systems
  • Reducing single-point-of-failure risks
  • Complex integration challenges
  • Low-latency payment processing
  • Supporting fx country rollout
  • Maintaining market data infrastructure
  • Speed-to-market
  • Operational impact
  • Stability and performance challenges
  • Platform scalability challenges

Active Projects

  • Transaction monitoring system
  • High-performance apis
  • Scalable backend services
  • Llm integration into real-world applications
  • Low-latency backend systems
  • Modernising enterprise master data platform
  • React-based frontend architecture
  • Fx country rollout
  • Market data aggregation and processing
  • Environment generation across fi/magnus ecosystem

Hiring Activity

Accelerating35 roles · 30 in 30d

Department

Engineering
31
Marketing
3
Sales
2
HR
1

Seniority

Senior
18
Principal
14
Mid
4
Manager
1
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About RE Partners

RE Partners Consulting was founded in 2019 and provides application development, staff augmentation, and enterprise technology services to mid-market and large organizations. The firm specializes in cloud transformation, intelligent automation, and business process redesign across financial services, SaaS, and digital-native sectors. Operating from New York with active hiring across the US, UK, Canada, and Eastern Europe, the company structures engagements around deep client advisory and white-glove delivery. Their technology footprint—Java/Spring, AWS infrastructure (ECS, EKS, Lambda), Kubernetes orchestration, and emerging LLM capabilities—supports both greenfield application builds and modernization of legacy enterprise platforms.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2019
Hiring MarketsUnited Kingdom, Canada, Georgia, Egypt, Poland, United States

Frequently Asked Questions

What tech stack does RE Partners use?

Core stack includes Java, Spring Boot, AWS (ECS, EKS, Lambda), Kubernetes, Docker, MongoDB, React, TypeScript, and message brokers (Kafka, RabbitMQ). Currently adopting Kubernetes and AWS EKS at scale, plus Shopify and Algolia integration capabilities.

What is RE Partners working on?

Current projects include transaction monitoring systems, low-latency payment processing, market data aggregation, FX country rollout, LLM integration into production apps, and modernization of enterprise data platforms—primarily for financial services and SaaS clients.

How this profile is built

RE Partners's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.