Job DescriptionAt Infoblox, every breakthrough begins with a bold “what if.”We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it’s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500, and we’re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold “what if” can take the world, your community, and your career.How we empower our people is extraordinary: we’re recognized as a Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years; and what we buildis world class: named CybersecAsia’s Best in Critical Infrastructure 2024 — clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next outstanding career story, comes from you? Become the force that turns every “what if” into “what’s next.”In a world where you can be anything, Be Infoblox.Be a Contributor — What You’ll DoDesign, build, and operate core GenAI platform services, including the multi-model access layer, MCP services, and customer-facing AI infrastructure, ensuring reliability, scalability, and policy enforcementEstablish and evolve observability, tracing, and telemetry frameworks for GenAI systems across development and production environmentsDefine and operationalize SLAs, SLOs, and automated CI/CD and lifecycle management processes for GenAI services, including model onboarding, rollout, routing configuration, and controlled deprecationBuild and maintain guardrails, safety mechanisms, and governance controls to mitigate hallucination, prompt injection, data leakage, and misuse across copilots and agentic workflowsLead incident response, root cause analysis,



and systemic reliability improvements to strengthen platform stability and operational excellenceDrive architectural standards and cross-team alignment, mentoring engineers and partnering with AI/ML, platform, security, and product teams to deliver secure, production-grade GenAI systemsBe Prepared — What You Bring10 or more years of software engineering experience, including significant experience building and operating large-scale distributed systems in production environmentsStrong experience designing and running highly available, scalable backend services in cloud-native environments (e.G., AWS, GCP, or Azure)Hands‑on experience implementing CI/CD pipelines, automation frameworks, and lifecycle management processes for distributed or AI‑powered systemsProven experience defining and operating services against SLAs/SLOs, leading incident response, and driving structured post‑incident improvementsExperience building observability, tracing, and monitoring systems for complex distributed platformsPractical experience supporting AI/ML or Generative AI systems in production, including model access control, performance monitoring, governance, and safety enforcementDemonstrated technical leadership, including cross‑team architectural influence, platform ownership, and mentorship in SaaS or large‑scale distributed environmentsBachelor’s/Master’s degree or a PhD in Computer Science, Computer EngineeringBe Successful — Your PathFirst 90 Days: Immerse in our culture, connect with mentors (Blox Buddies), and map the systems and meet with key stakeholders that rely on your work.



Discuss and create short/long term goals.Six MonthsLead production enhancements to the GenAI gateway, lifecycle automation framework, and observability platformEstablish measurable SLAs/SLOs and improve incident response processes for GenAI servicesReduce operational risk through improved automation, monitoring, and policy enforcementOne YearOwn the reliability, scalability, and governance posture of core GenAI platform services adopted across multiple product linesDrive measurable improvements in uptime, latency consistency, cost efficiency, and safety complianceBe recognized as a technical authority in enterprise GenAI platform engineering and AIOps within the organizationBelong— Your CommunityOur culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you’ll grow and belong here.Be Rewarded — Benefits That Help You Grow, Thrive, BelongComprehensive health coverage, generous PTO, and flexible work optionsLearning opportunities, career‑mobility programs, and leadership workshopsSixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthyModern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrationsCharitableGiving Program supported by Company MatchWe practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $135,600 - $204,380 plus bonusInfoblox is an affirmative action and equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.#J-18808-Ljbffr

📌 Staff Aiops Engineer – Generative Ai Platform - $135,600 - $204,380 A Year (Toronto)
🏢 Infoblox
📍 Toronto