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Infoblox · 2 weeks ago

Principal Software Engineer, Data Analytics

Tacoma, WA

Full-time

Onsite

Lead/Staff

$195K/yr - $300K/yr

15+ years exp

Infoblox is a leader in cloud-first networking and security solutions, and they are seeking a Principal Engineer to join their Data & AI team. This role will drive the design and delivery of AI-powered systems that transform data into actionable insights and automated decision-making, shaping the architecture for analytics platforms across Infoblox’s product ecosystem.

Network HardwareReal TimeSecurity

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Meghann Edwards

Responsibilities

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

Qualification

AI analytics product architectureCloud-native architecture patternsPythonGoJavaData-driven automation systemsCI/CDIaCStreamingEvent-based systemsAI/ML model integrationInfluenceTelemetryFeedback loopsNetworkingCybersecurity backgroundLeadershipSelf-driven ownership mindsetCollaboration with cross-functional teams

Required

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

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

Benefits

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

Company

Infoblox

Glassdoor4.5

Infoblox develops network identity solutions enabling businesses to automate network control functions to reduce costs and boost security.

Founded in 1999

Santa Clara, California, USA

1001-5000 employees

http://www.infoblox.com

H1B Sponsorship

Infoblox has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (32)

2024 (21)

2023 (10)

2022 (37)

2021 (10)

2020 (25)

Funding

Current Stage

Public Company

Total Funding

$53M

Key Investors

Warburg PincusTenaya Capital

2020-09-08Private Equity

2016-09-19Acquired

2012-04-20IPO

Leadership Team

Scott Harrell

President and CEO

Joe Gately

SVP Americas Sales