Senior Software Engineer

About the role

The Universal Asset Insights team at Infoblox is seeking a Senior Software Engineer to join our dynamic and innovative environment. Reporting to the Senior Director of Engineering, this role involves designing and developing cloud-hosted data ingestion, transformation, and normalization pipelines, as well as building extensible frameworks for low-code/no-code integrations. The successful candidate will also lead cross-functional and global engineering teams, drive productivity and innovation through the adoption of Agentic/AI platforms, and provide technical leadership to ensure the delivery of a scalable, extensible, and reliable system.

Responsibilities

• Design and develop cloud hosted Data ingestion, transformation, normalization pipeline built to scale, perform and reliable
• Lead cross functional & global engineering teams to collaborate on building re-usable software components that can be delivered as a platform
• Drive productivity & innovation through adoption of Agentic/AI Platforms in SDLC including Design, Development, QA, Automation, Deployment, Observability, Maintenance & troubleshooting
• Drive Product innovation through adoption of Agentic infrastructure into Product core capabilities including building & productizing MCP Servers, Building Agents, sub-agents, skills etc.
• Provide technical leadership to steer product architecture and software design, ensuring the delivery of a scalable, extensible, and reliable system
• Collaborate cross-functionally with Product Management and Marketing on roadmap, documentation, and other collateral
• Stay up to date on key trends in asset insights, no-code/low-code approaches for remediation, data transformation, ETL, agentic AI, etc.

Requirements

• 8+ years of experience in software development using Golang/Go, Java, C++, or C, leveraging microservices-based Docker, Kubernetes, Kafka
• Excellent working knowledge of Data Modeling, APIs, System Architecture & design
• Strong hands-on expertise applying agentic and AI-driven frameworks to elevate engineering productivity, optimize performance, and strengthen system reliability including building Agents, Sub-agents, MCP Servers, Skills etc.
• Strong hands-on experience with performance engineering in large scale pipelines and active participation in resolving production incidents
• Excellent understanding of networking like switching, Routing, Security and preferably DNS, DHCP, IPAM, CTEM, CAASM, ITSM

Qualifications

• Bachelor’s degree in computer science, computer engineering, or electrical engineering required; master’s degree preferred

Skills

• Excellent communication and collaboration skills to work effectively with cross-functional teams across different time zones

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

Pay

$133,000 - $198,220 plus annual bonus

Schedule

Full-time