Staff AIOps Engineer – Generative AI Platform (Vancouver)

Staff AIOps Engineer – Generative AI Platform (Vancouver)

19 Apr
|
Infoblox
|
Vancouver

19 Apr

Infoblox

Vancouver

Job Description At 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 build is world class: named CybersecAsia’s Best in Critical Infrastructure 2024 — transparent evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great 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 Do

Design, 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 enforcement

Establish and evolve observability, tracing, and telemetry frameworks for GenAI systems across development and production environments

Define and operationalize SLAs, SLOs, and automated CI/CD and lifecycle management processes for GenAI services, including model onboarding, rollout, routing configuration, and controlled deprecation

Build and maintain guardrails, safety mechanisms, and governance controls to mitigate hallucination, prompt injection, data leakage, and misuse across copilots and agentic workflows

Lead incident response, root cause analysis,



and systemic reliability improvements to strengthen platform stability and operational excellence

Drive architectural standards and cross-team alignment, mentoring engineers and partnering with AI/ML, platform, security, and product teams to deliver secure, production-grade GenAI systems

Be Prepared — What You Bring

10 or more years of software engineering experience, including significant experience building and operating large-scale distributed systems in production environments

Strong 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 systems

Proven experience defining and operating services against SLAs/SLOs, leading incident response, and driving structured post‑incident improvements

Experience building observability, tracing, and monitoring systems for complex distributed platforms

Practical experience supporting AI/ML or Generative AI systems in production, including model access control, performance monitoring, governance, and safety enforcement

Demonstrated technical leadership, including cross‑team architectural influence, platform ownership, and mentorship in SaaS or large‑scale distributed environments

Bachelor’s/Master’s degree or a PhD in Computer Science, Computer Engineering

Be Successful — Your Path First 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 Months





Lead production enhancements to the GenAI gateway, lifecycle automation framework, and observability platform

Establish measurable SLAs/SLOs and improve incident response processes for GenAI services

Reduce operational risk through improved automation, monitoring, and policy enforcement

One Year

Own the reliability, scalability, and governance posture of core GenAI platform services adopted across multiple product lines

Drive measurable improvements in uptime, latency consistency, cost efficiency, and safety compliance

Be recognized as a technical authority in enterprise GenAI platform engineering and AIOps within the organization

Belong— Your Community Our 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, Belong

Comprehensive health coverage, generous PTO, and flexible work options

Learning opportunities, career‑mobility programs, and leadership workshops

Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy

Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations

CharitableGiving Program supported by Company Match

We 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 bonus

Infoblox 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.

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📌 Staff AIOps Engineer – Generative AI Platform (Vancouver)
🏢 Infoblox
📍 Vancouver

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