The RolePerceptyx is seeking a Full-Stack Software Engineer to join our global Technology organization. In this role, you will help bridge the gap between people analytics and organizational action by contributing to scalable, reliable, and maintainable software systems. You will work on software solutions that empower enterprise leaders to drive behavioral change, ensuring that workforce feedback actively leads to meaningful improvements across their organizations.
This is a hands-on development role where you will work primarily on backend engineering (approximately 60-70% of the workload) while having opportunities to design, develop, and integrate frontend features. You will work closely with business stakeholders, Product, Design, and Data Science teams to translate strategic goals into robust, large-scale applications.
What You'll Do- Full-Stack Software Development: Design, build, and maintain enterprise-grade applications using PostgreSQL, Python, Go, TypeScript, and React, with a primary focus (60-70%) on core backend architecture.
- Architecture & Implementation: Actively participate in the technical implementation, system analysis, and software design of multi-product platform services and cloud environments.
- Product Collaboration: Work in tight, iterative loops alongside product managers, UI/UX designers, and data scientists to turn high-level user needs into intuitive, impactful features.
- Code Quality & Governance: Write clean, highly performant, and well-documented code. Participate in constructive code reviews and ensure the thorough validation of detailed technical specifications.
- Scalability & Performance Optimization: Optimize backend database queries, reporting layers, and frontend components for maximum execution speed, data security, and enterprise-level scale.
- AI-Assisted Workflows: Seamlessly integrate modern AI-assisted coding tools (e.g., GitHub Copilot, Cursor) into your development lifecycle, employing precise prompt engineering and reviewing all outputs for safety, accuracy, and engineering quality.
What You Bring- Experience: 5+ years of overall professional software development experience, including a minimum of 3 years of hands-on software design, scripting, and unit testing. Experience with distributed architectures or database-driven enterprise applications is highly preferred. We welcome backend-focused developers who are comfortable handling lighter frontend tasks as needed.
- Backend Technical Depth: Proficiency or strong working familiarity with Python. Experience with, or exposure to, Go is highly preferred. Use of databases.
- Frontend Basics: Familiarity with TypeScript and React, Vue.js is preferred. Exposure to general web technologies like JavaScript, CSS, Bootstrap, or Webpack is an asset.
- Language Proficiency: Excellent written and verbal communication skills with the absolute ability to collaborate, document technical systems, and interview fluently in English.
- Problem-Solving & Professional Maturity: An analytical mind with a proactive, solutions-oriented approach to ambiguous engineering problems and a high degree of adaptability.
- Remote Agility: A disciplined self-starter who thrives when working independently within a remote, fast-paced, cross-functional agile environment.
- Inclusivity: A genuine willingness to collaborate with and learn from a global team of diverse backgrounds, perspectives, and functions.
- Education: Bachelor's Degree (4-year) in Computer Science, or equivalent professional experience.
Bonus Points:- Knowledge of, or a strong willingness to learn, Perl to support legacy backend systems.
- Experience with alternative data storage technologies (e.g., MySQL, MongoDB) or Unix/Linux operating environments.
- Familiarity with modern automated testing frameworks and cloud infrastructure monitoring tools (e.g., Datadog).
- Interest in modern DevOps practices, including automated CI/CD pipelines and containerization.
Our Interview Process & AI TransparencyAt Perceptyx, we value your time and want our interviewers to be fully engaged in the conversation.
- Note-Taking: We use Metaview.ai to record and summarize our interviews. This allows our hiring team to focus on you rather than typing notes, ensuring a fairer and more accurate evaluation of your experience.
- AI Disclosure: While we use AI to assist in summarizing interview data, all final hiring decisions are made by Perceptyx employees. We do not use automated tools as the sole basis for selecting or rejecting candidates.
- Your Choice (Opt-Out): Participation in recorded interviews is voluntary. If you prefer not to have your interview recorded via Metaview, please notify your recruiter prior to the start of the session. Opting out will not negatively impact your candidacy.
