- Own the Platform Boundary: Work directly with Product engineering teams to define what should live in the platform versus in individual products, bringing a clear point of view — not just implementing what's requested, but shaping what gets built and why.
- Navigate Ambiguity: Take on problems that arrive as open questions rather than finished requirements — competing constraints from multiple teams, unclear ownership, evolving priorities — and drive them to a sound technical direction.
- Lead and Multiply: Act as a senior technical leader on the Platform team, coaching engineers and elevating modern software engineering and AI-first development practices across the organization.
- AI-Driven Development: Champion the adoption of AI-assisted development, guiding the team on how to effectively and safely use AI for coding, testing, and delivery as tools and models rapidly evolve.
- Architect and Build: Design, develop, and evolve scalable, high-performance frontend and backend systems and shared services using a modern full-stack approach.
- Quality and Reliability: Lead by example through clean code, thoughtful reviews, test-driven development, and strong operational discipline in production.
- Scale and Optimize: Anticipate performance and scaling challenges, using monitoring and observability tools to drive continuous improvement.
- Collaborate and Influence: Partner closely with Product and Design to deliver cohesive solutions and clearly communicate technical decisions across teams.
- Senior Engineering Experience: 5+ years of professional software development experience, including system design, development, and testing of scalable, database-driven applications.
- Platform Mindset: A curious, systems-level thinker who's comfortable with ambiguous or incomplete requirements, and who can form and articulate an opinion on what belongs in a shared platform versus a specific product.
- Cross-Team Influence: Confidence engaging directly with Product engineering teams to negotiate scope, push back where needed, and align on platform direction — not just take requirements at face value.
- Technical Leadership Mindset: A passion for coaching, influencing, and elevating other engineers through modern software engineering practices.
- Backend Strength: Proficiency in Go, Python, or C++.
- Frontend Fluency: Strong experience with JavaScript and modern frameworks such as React or Vue, along with solid HTML, CSS, and build tooling knowledge.
- Data & Platforms: Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases, and comfort working across Linux, macOS, and Windows environments.
- AI-First Development: Hands-on experience using AI-assisted coding tools like GitHub Copilot or Cursor, with a strong point of view on prompt design, validation, and safe use of AI-generated code.
- Quality & Operations: Familiarity with automated testing, CI/CD, and observability tools such as Datadog.
- Communication & Judgment: Clear communicator with strong problem-solving skills, sound judgment, and the ability to collaborate and lead across teams.
- 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 evaluation.
- AI Disclosure: While we use AI to assist in summarizing interview data, all final hiring decisions are made by Perceptyx employees.
- Your Choice (Opt-Out): Participation in recorded interviews is voluntary. If you prefer not to be recorded, please notify your recruiter at the start of the session. Opting out will not negatively impact your candidacy.
- Note: Final compensation is determined by factors including experience, geography, and skills.
- Benefits: Comprehensive health coverage; RRSP matching; generous PTO; parental leave; and professional development budget.
Skills Required
- 5+ years of professional software development experience
- Experience designing, developing, and testing scalable, database-driven applications
- Ability to work with ambiguous or incomplete requirements and define platform boundaries
- Experience influencing and collaborating with product engineering teams
- Experience coaching or elevating other engineers through modern software engineering practices
- Proficiency in Go, Python, or C++
- Strong experience with JavaScript and modern frameworks such as React or Vue
- Knowledge of HTML, CSS, and build tooling
- Experience with PostgreSQL or MySQL relational databases
- Experience with MongoDB or other NoSQL databases
- Comfort working across Linux, macOS, and Windows environments
- Hands-on experience with AI-assisted coding tools such as GitHub Copilot or Cursor
- Familiarity with automated testing and CI/CD
- Familiarity with observability tools such as Datadog
- Clear communication, strong problem-solving skills, sound judgment, and cross-team collaboration ability
What We Do
Perceptyx combines employee surveys and people analytics in a way that not only helps you see more of what’s going on in your organization, but also helps you see how to drive the organization forward. Too many surveys only focus on measurement, with overly prescriptive models that don’t offer a fresh perspective on the challenges facing your business. And they rarely connect the dots between the employee experience and business outcomes, making it difficult to know which actions will have the greatest impact. With a solution fully tailored to your specific organizational needs, Perceptyx makes it possible for organizations to see more clearly, see the bigger picture, and see the next steps. It’s why nearly one-third of the Fortune 100 already rely on Perceptyx and why 95% of the organizations that come to us stay with us. - Perceptyx. See the way forward.








