Job Description

Position Overview

Aiwyn is seeking a highly experienced software engineer to help define and drive technical strategy across multiple teams or systems. This role involves shaping architectural decisions that impact major portions of our platform, ensuring scalability, reliability, and maintainability. You will lead the design of complex technical solutions, mentor senior engineers, and tackle challenging optimization problems.

About Aiwyn

Aiwyn is the fastest-growing software company serving the accounting profession. Founded in 2020, we work with over 150 of the largest CPA firms globally. Our mission is to speed up cash flow, save Partner time, and deliver best-in-class client experiences by automating day-to-day firm operations with our Practice Automation solutions. Aiwyn is led by serial entrepreneurs with multiple exits and funded by top-tier investors (Bessemer, KKR, & Revolution). We are passionate about building a remarkable company with world-class people, processes, and technology.

Learn more at Aiwyn Website (Note: Website URL is an assumption, please verify).

What You'll Do

• Technical Strategy & Vision: Help define and drive technical strategy across multiple teams or systems. Shape architectural decisions that impact major portions of our platform while ensuring scalability, reliability, and maintainability of our software.
• Design & Mentor: Lead the design of complex technical solutions spanning multiple services and data pipelines. Mentor senior engineers, influence engineering practices, and drive technical excellence across the organization.
• Solve & Scale: Tackle our most challenging optimization problems. Identify systemic issues, implement solutions that scale, and drive improvements in performance, reliability, and engineering efficiency.

Our Tech Stack

• Java
• Spring Boot
• Kotlin
• PostgreSQL
• GraphQL

We're Looking For

• Technical Leadership: Exceptional engineering skills with deep expertise in Java/Kotlin and Spring Boot solutions. Proven ability to deliver complex, large-scale technical solutions leveraging cloud services. Experience making high-impact technical decisions that affect multiple data processing systems and teams.
• Strategic Thinking: Demonstrated ability to understand business context and translate it into technical strategy for engineering teams. Experience in making architectural decisions that balance immediate needs with long-term technical health of an ecosystem.
• System Design: Deep understanding of distributed systems and data pipeline architectures. Proven track record of designing and implementing system-wide improvements to ETL processes and data validation frameworks that significantly impact engineering efficiency.
• Technical Influence: Strong ability to influence technical direction across teams through mentorship in software development, technical documentation, and leadership. Experience in driving adoption of engineering best practices and standards across multiple teams.
• Quality & Testing Excellence: Relentless focus on quality with deep expertise in test automation. Experience building robust test frameworks, implementing comprehensive testing strategies, and fostering a test-first development culture.
• Cross-team Collaboration: Track record of successfully driving technical initiatives that span multiple teams working on different aspects of a software platform. Ability to build consensus around technical decisions and navigate complex trade-offs.
• Engineering Excellence: Deep understanding of software engineering principles, with particular emphasis on data processing patterns and practices. Proven ability to establish and maintain high engineering standards while driving innovation.

What We Need

• 12+ years of software engineering experience
• Strong professional experience using Kotlin
• Expertise with Angular or other front-end technologies
• Expertise with large-scale Spring Boot architectures
• Expertise in Google Cloud Platform services including BigQuery
• Expertise in designing and building PostgreSQL databases
• Expertise with data pipelines and ETL processes
• Expertise in GraphQL architecture patterns and implementation
• Experience building solutions that leverage LLMs
• Expertise with continuous integration and deployment practices
• Experience in technical risk assessment and mitigation in data environments

Employment Type

• Full-Time

Location Type

• [Information Not Provided]

Salary

• [Information Not Provided]

Application Instructions

• [Information Not Provided]

Company Information

• [Information Provided Above]