Software Engineer (Frontend)

About Us:

insightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.

Job Description:

Software Engineer I, JustPerform

About the Role

We are looking for a Software Engineer I to join the JustPerform product team. JustPerform is an enterprise software product in the financial performance management space, supporting workflows in areas such as financial planning, analysis, and financial close. You will work across the full stack, building features on a Vue 3 frontend and a Spring Boot backend, for customers who operate in complex, high-stakes financial environments.

This is a role for someone who is past the learning curve of the basics and ready to take on meaningful feature work independently. You will be expected to contribute across both frontend and backend, write code that your teammates are happy to review, and bring a genuine curiosity about how modern tools, including AI, can make you a better engineer.

What You'll Do

Feature development

Build and maintain full-stack features across the Vue 3 frontend and Spring Boot backend, working from well-defined requirements through to production.

Write clean, well-structured code with appropriate test coverage, and participate actively in code reviews on both sides of the stack.

Collaborate with product managers and designers to understand requirements, ask the right questions, and flag technical constraints early.

Debug and resolve issues across the stack, taking ownership of a problem until it is properly resolved rather than passing it along.

Contribute to technical discussions, design sessions, and sprint planning with a constructive point of view.

Frontend engineering (Vue 3)

Build UI components and features using Vue 3 with the Composition API, with attention to performance, reusability, and maintainability.

Manage application state using Pinia, keeping data flows predictable and easy to reason about.

Integrate frontend components cleanly with backend APIs, handling async data flows, loading states, and error scenarios correctly.

Write TypeScript across the frontend codebase, maintaining type safety and consistency with established patterns.

Write component-level tests using Vitest, and contribute to frontend quality standards across the team.

Backend engineering (Spring Boot)

Design and implement REST APIs using Spring Boot, following established patterns for structure, validation, and error handling.

Work with relational databases: write efficient queries, understand indexing basics, and contribute to schema changes with appropriate migrations.

Write unit and integration tests using JUnit and standard Spring testing utilities, maintaining meaningful coverage on the code you ship.

Participate in backend code reviews and contribute to improving the quality and consistency of backend code over time.

Learn and apply the team's existing patterns for authentication, authorization, and service-layer design as you contribute to new features.

AI-assisted development

Use AI coding tools (such as GitHub Copilot, Cursor, or Claude) as a regular part of your development workflow to write, review, and improve code more efficiently.

Bring a thoughtful approach to AI-assisted development: know when suggestions are good, when they need revision, and when to discard them entirely.

Experiment with AI tooling beyond basic code completion, such as using agents or custom skills to automate repetitive development tasks, generate test scaffolding, or accelerate documentation.

Share what you learn about effective AI tooling with your team, contributing to a culture where the team improves its use of these tools over time.

What We're Looking For

Required

3 to 4 years of professional software engineering experience in a full-stack or backend-leaning role.

Solid hands-on experience with Vue 3 using the Composition API; you have built real features with it, not just followed tutorials.

Hands-on experience with Java and Spring Boot, building and maintaining REST APIs in a production environment.

Working knowledge of relational databases: writing queries, understanding joins and indexes, and contributing to schema design.

Familiarity with TypeScript in a frontend codebase; comfortable with types, interfaces, and generics at a working level.

Experience writing tests across the stack: Vitest for Vue 3 component and unit testing on the frontend, JUnit for unit and integration testing on the backend.

Experience with Pinia for state management in Vue 3 applications.

Familiarity with Git workflows in a team environment: branching, pull requests, code review, and resolving conflicts.

Awareness and hands-on experimentation with AI coding tools; you have used them in your own workflow and formed a view on where they help.

Clear communication: able to ask good questions, articulate what you are working on, and flag blockers early rather than late.

Nice to Have

Experience working on enterprise software, particularly in finance, ERP, or performance management domains.

Exposure to custom AI agents or workflow automation tools beyond basic code completion.

Experience with CI/CD pipelines and containerised environments (Docker, GitHub Actions).

Knowledge of Spring Security or similar frameworks for authentication and authorization.

Experience with agile delivery practices including sprint planning, estimation, and retrospectives.

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Who Thrives in This Role

The right person for this role is comfortable on both sides of the stack and does not wait to be told exactly what to do. They take ownership of a piece of work, figure out what they need to know, and see it through. They are not the loudest person in the room, but they contribute meaningfully in design discussions and code reviews, and their teammates notice when they are not around.

They are genuinely curious about AI tooling, not because it is expected of them, but because they have already found it useful and want to keep pushing. They have experimented beyond the basics and can talk concretely about where AI made them faster and where it led them astray.

If you are someone who cares about the quality of your code, takes pride in shipping things that work well, and is looking for a product where the domain is complex enough to keep you learning, this is a good fit.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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