- Build the Platform Foundation: Build and extend our platform by modernizing legacy infrastructure toward a secure-and-stable-by-default architecture, bringing configuration under Infrastructure as Code (IaC) and closing observability gaps.
- Enable Self-Service: Design pre-approved templates, automated rails, and hard-stop guardrails that allow product engineers to independently provision, deploy, and operate production environments safely.
- Integrate AI & Automation: Leverage AI and agentic tooling to remove manual work and automate workflows while maintaining strong guardrails, human validation, and automated rollback capabilities.
- End-to-End Ownership: Own and operate the systems you develop following a "you build it, you run it" model. Engage in production support, maintain operational runbooks, and participate in on-call rotations.
- Collaborative Workflows: Partner closely with application and product engineering teams to streamline deployment processes and optimize their overall developer experience.
- Shape the Team's Culture: Establish modern architectural practices and engineering standards. Treat every recurring incident as a prompt for learning, and view internal tooling as a product with real consumer users.
- Mentorship: Actively share knowledge and document golden-path frameworks to lift the skill level of engineers around you.
- Platform Experience: Strong background building and operating production infrastructure, platform engineering, or SRE environments that engineering teams rely on (minimum 2–3+ years of experience, calibrated to level).
- Technical Proficiency: Hands-on experience with cloud infrastructure technologies such as Terraform, AWS, and Kubernetes, alongside observability tools (e.g., Datadog, CloudWatch).
- Coding & Scripting: Solid coding skills in Python, Go, Bash, or a similar language.
- Automation Mindset: A proactive, "toil-elimination" drive to remove entire categories of repetitive manual work rather than simply performing tasks faster.
- AI Fluency & Curiosity: A persistent curiosity and desire to experiment with AI/agentic tooling, backed by a nuanced understanding of your role as the human-in-the-loop.
- Modernization Instinct: A natural habit of leaving systems more stable and secure than you found them, treating security as an essential pillar of platform reliability.
- Education: Undergraduate degree in Computer Science, Engineering, or equivalent professional experience.
- A track record of successfully defining "golden paths" or platform patterns that other teams have adopted.
- Experience with policy-as-code or building the governance layer for AI agents in production (permissions, quotas, evaluation).
- Experience mentoring junior engineers or helping evolve an engineering function from a reactive support model into a platform organization.
- 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.
- Note: We are hiring across a range of experience levels and will calibrate final scope, title, and compensation accordingly.
- Benefits: Comprehensive medical, dental, and vision insurance; RRSP matching; generous PTO and paid holidays; parental leave; and professional development budget.
Skills Required
- 3-5 years of experience in infrastructure engineering, platform engineering, SRE, or related role in B2B SaaS
- Solid working knowledge of AWS services such as EC2, EKS, RDS, S3, IAM
- Hands-on experience with Kubernetes and Terraform
- Proficiency in at least one scripting or programming language
- Excellent communication skills for collaboration with engineering teams
- Bachelor's Degree in Computer Science or equivalent professional experience
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.









