Cincsystems
LOCATION : Worldwide (Remote-first / Hybrid optional)
REPORTS-TO : AI Engineer, Lead
CINC Systems
CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly 300 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development.
We are modernizing our architecture, product, and engineering culture to build a new generation of AI‑enabled, modular, and intelligent SaaS applications. As a Senior Full Stack Engineer, you will play a key role in this transformation.
About the Role As a Senior Full Stack Engineer, you will design and deliver modern, scalable applications that connect deeply with our users and form part of a larger AI‑native platform. You will work across the stack, from backend services and APIs to responsive web applications and shared components.
This role is ideal for an experienced engineer who thrives in a fast‑moving, collaborative environment, values craftsmanship, and understands how to evolve large systems safely from monoliths to microservices. You will work closely with product, design, platform, and AI engineering teams to create software that is robust, maintainable, and forward‑looking.
Key Responsibilities
Design, build, and maintain high‑quality web applications using TypeScript, Node.js, and frameworks such as React, Next.js, or NestJS
Contribute to the evolution of CINC’s architecture from monolith to modular microservices, applying sound system design principles and domain‑driven thinking
Develop and consume RESTful and GraphQL APIs with strong understanding of service boundaries, contract design, and versioning
Implement event‑driven and message‑based integrations to improve scalability, resilience, and decoupling
Apply modern engineering practices including automated testing, CI/CD, and continuous delivery principles
Collaborate with design and product partners to translate complex requirements into simple, usable features
Participate in code reviews, pair programming, and iterative delivery following Extreme Programming (XP) values
Contribute to AI‑enabled workflows by integrating APIs or shared AI services into user‑facing features where appropriate
Mentor and guide engineers on best practices in system design, testing, and clean code
Engage in technical discussions around architecture, reliability, and performance to ensure quality and scalability across systems
Qualifications Core Technical Expertise
7+ years of software engineering experience building production web applications or SaaS products
Strong understanding of backend architecture, including monolith decomposition, microservice principles, and API design best practices
Experience designing and maintaining RESTful or GraphQL APIs with clear contracts and documentation
Knowledge of modern DevOps practices including CI/CD pipelines, observability, and containerised deployments
Familiarity with cloud environments such as AWS, GCP, or Azure
Solid experience with automated testing frameworks and test‑driven development (TDD)
Collaboration and Leadership
Excellent communicator who can clearly explain design choices and technical trade‑offs to engineers, product managers, and designers
Demonstrated ability to take ownership of features from idea to deployment, balancing speed with quality
Experienced working in cross‑functional teams and contributing to architectural discussions and reviews
Learning‑first mindset with curiosity about new frameworks, design patterns, and AI‑driven development
Nice to Have
Experience integrating AI‑powered services such as chatbots, copilots, or search assistants
Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or similar)
Background in event‑driven architecture or streaming systems such as Kafka, SNS/SQS, or Pub/Sub
Exposure to vector databases or retrieval‑augmented workflows
Experience with infrastructure‑as‑code and container orchestration (Terraform, Docker)
Previous work in XP or Agile teams practicing pairing, refactoring, and continuous integration
Mindset and Values
Builder’s mindset with a bias for simplicity, quality, and customer value
Clear communicator who values collaboration, feedback, and mentorship
Learning‑first attitude with interest in emerging technologies and continuous improvement
Pragmatic engineer who can balance short‑term delivery with long‑term system health
What Success Looks Like
Features are delivered quickly, safely, and predictably, with measurable improvements in performance and user satisfaction
Systems evolve from tightly coupled to modular and maintainable architectures
You are recognised as a trusted engineer who raises standards through code, communication, and collaboration
CINC’s full‑stack engineering teams move faster with greater clarity and confidence
#J-18808-Ljbffr
REPORTS-TO : AI Engineer, Lead
CINC Systems
CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly 300 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development.
We are modernizing our architecture, product, and engineering culture to build a new generation of AI‑enabled, modular, and intelligent SaaS applications. As a Senior Full Stack Engineer, you will play a key role in this transformation.
About the Role As a Senior Full Stack Engineer, you will design and deliver modern, scalable applications that connect deeply with our users and form part of a larger AI‑native platform. You will work across the stack, from backend services and APIs to responsive web applications and shared components.
This role is ideal for an experienced engineer who thrives in a fast‑moving, collaborative environment, values craftsmanship, and understands how to evolve large systems safely from monoliths to microservices. You will work closely with product, design, platform, and AI engineering teams to create software that is robust, maintainable, and forward‑looking.
Key Responsibilities
Design, build, and maintain high‑quality web applications using TypeScript, Node.js, and frameworks such as React, Next.js, or NestJS
Contribute to the evolution of CINC’s architecture from monolith to modular microservices, applying sound system design principles and domain‑driven thinking
Develop and consume RESTful and GraphQL APIs with strong understanding of service boundaries, contract design, and versioning
Implement event‑driven and message‑based integrations to improve scalability, resilience, and decoupling
Apply modern engineering practices including automated testing, CI/CD, and continuous delivery principles
Collaborate with design and product partners to translate complex requirements into simple, usable features
Participate in code reviews, pair programming, and iterative delivery following Extreme Programming (XP) values
Contribute to AI‑enabled workflows by integrating APIs or shared AI services into user‑facing features where appropriate
Mentor and guide engineers on best practices in system design, testing, and clean code
Engage in technical discussions around architecture, reliability, and performance to ensure quality and scalability across systems
Qualifications Core Technical Expertise
7+ years of software engineering experience building production web applications or SaaS products
Strong understanding of backend architecture, including monolith decomposition, microservice principles, and API design best practices
Experience designing and maintaining RESTful or GraphQL APIs with clear contracts and documentation
Knowledge of modern DevOps practices including CI/CD pipelines, observability, and containerised deployments
Familiarity with cloud environments such as AWS, GCP, or Azure
Solid experience with automated testing frameworks and test‑driven development (TDD)
Collaboration and Leadership
Excellent communicator who can clearly explain design choices and technical trade‑offs to engineers, product managers, and designers
Demonstrated ability to take ownership of features from idea to deployment, balancing speed with quality
Experienced working in cross‑functional teams and contributing to architectural discussions and reviews
Learning‑first mindset with curiosity about new frameworks, design patterns, and AI‑driven development
Nice to Have
Experience integrating AI‑powered services such as chatbots, copilots, or search assistants
Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or similar)
Background in event‑driven architecture or streaming systems such as Kafka, SNS/SQS, or Pub/Sub
Exposure to vector databases or retrieval‑augmented workflows
Experience with infrastructure‑as‑code and container orchestration (Terraform, Docker)
Previous work in XP or Agile teams practicing pairing, refactoring, and continuous integration
Mindset and Values
Builder’s mindset with a bias for simplicity, quality, and customer value
Clear communicator who values collaboration, feedback, and mentorship
Learning‑first attitude with interest in emerging technologies and continuous improvement
Pragmatic engineer who can balance short‑term delivery with long‑term system health
What Success Looks Like
Features are delivered quickly, safely, and predictably, with measurable improvements in performance and user satisfaction
Systems evolve from tightly coupled to modular and maintainable architectures
You are recognised as a trusted engineer who raises standards through code, communication, and collaboration
CINC’s full‑stack engineering teams move faster with greater clarity and confidence
#J-18808-Ljbffr