Principal Software Engineer, Data Analytics

At Infoblox, every breakthrough begins with a bold “what if.”
What if your ideas could ignite global innovation?
What if your curiosity could redefine the future?

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.

Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running — and what we build is world-class: recognized as CybersecAsia’s Best in Critical Infrastructure 2024 — 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.

Principal Engineer, Data Analytics

We have an opportunity for a Principal Engineer to join our Data & AI team in North America, reporting to the VP of Data & AI. In this pivotal role, you will drive the design and delivery of intelligent, AI-powered systems that transform data into actionable insights and automated decision-making.  This role will shape the architecture for closed-loop, intent-driven analytics platforms that deliver predictive and prescriptive outcomes across Infoblox’s product ecosystem.

The ideal candidate is self-driven, thrives in ambiguity, and leads with influence across Product, Data Science, and Engineering to deliver measurable business outcomes.

Be a Contributor — What You’ll Do

• Architect and lead architecture and implementation of a greenfield AI analytics product, from proof of concept to production launch, aligning technical decisions to business outcomes.
• Collaborate with data engineering, data science, and product teams to develop closed-loop systems that continuously learn and adapt from feedback signals.
• Integrate predictive and prescriptive analytics models into production systems, enabling automated recommendations and self-optimizing decisions.
• Define and implement data-to-action architectures, leveraging AI/ML, event-driven designs, and microservices to create real-time decisioning capabilities.
• Champion observability, reliability, and explainability as core principles in all analytics systems—ensuring outputs are measurable, transparent, and trustworthy.
• Drive engineering excellence through architecture reviews, mentoring, and cross-functional alignment, influencing teams toward unified analytics and automation standards.
• Partner with product leaders to define KPIs and success metrics that measure the business impact of analytics and automation.
• Drive engineering best practices and platform patterns (CI/CD, IaC with Terraform/CloudFormation, SDLC quality gates, SLOs, runbooks) across collaborating teams.

Be Prepared — What You Bring

• 15+ years of professional software engineering experience, with 5+ years building or leading large-scale cloud or analytics platforms.
• Expertise in Python, Go, or Java, with strong fundamentals in distributed systems, data structures, and algorithms.
• Strong command of cloud-native architecture patterns—microservices, containers (EKS/Kubernetes), event-driven design, and zero-trust security.
• Demonstrated ability to lead with influence—driving clarity, alignment, and outcomes across product, data science, and platform teams.
• Self‑driven ownership mindset with a track record of delivering complex systems from concept to production, balancing agility, reliability, and cost.
• Understanding of streaming and event-based systems, telemetry, and feedback loops for continuous learning.
• Demonstrated success in building data-driven automation, decisioning, or intent-based systems—turning insight into direct system action.
• Experience integrating AI/ML models and inference services into live products and business workflows.
• Bachelor’s degree in Computer Science or related field; Master’s preferred or equivalent practical experience.
• Preferred experience includes: GenAI/LLMs, semantic search, vector databases, embedding pipelines for data analytics applications, familiarity with modern analytics engineers and warehouses (e.g., Clickhouse, Redshift, Athena, Trino, Presto, Databricks, or Snowflake), and a background in networking, cybersecurity or SaaS analytics products.

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: Ship the MVP to pilot customers with instrumented telemetry, reliable pipelines, and secure multi‑tenant services; stand up CI/CD and IaC; establish SLOs and runbooks; demonstrate measurable impact on latency/freshness/cost and validate product‑market signals.

One Year: Launch GA v1 at scale with strong reliability and cost controls; harden governance and privacy; expand AI‑assisted experiences; mentor a cohort of senior engineers; and codify platform patterns adopted broadly across teams.

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
• Charitable Giving 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 in Tacoma: $195,000 - $300,000 plus annual bonus.

Ready to Be the Difference?

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

#LI-ME1

#LI-Hybrid