Manager, Software Engineering
$135.6k - $204.38kInfoblox
Manager, Software Engineering
We have an opportunity for a Manager, Engineering to join our Universal Asset Insights team in Burnaby, BC, reporting to the Senior Director, Engineering. This role blends hands-on technical leadership, people management, and strategic vision to drive the innovation & development in Universal Asset Insights (UAI).
UAI provides SaaS based Cyber Asset Attack Surface Management (CAASM), which includes Asset visibility & security gap analysis of On-prem & Cloud assets. UAI automates the discovery and analysis of both IP and non-IP-based assets across public clouds, on-premises networks, IoT/OT devices. UAI CAASM product integrates with Infoblox Threat Defense, CTEM & DDI Solutions.
In this technical, hands-on leadership role, you will guide a team of engineers working on the design, development, and productization of the Asset Insights Data pipeline, Reporting & Analytics engine. Collaborating closely with cross-functional teams, you will be a critical contributor to the evolution of Infoblox's next-generation security solutions. You are the ideal candidate if you are a great collaborator, strategic thinker, operate independently, and are deadline and results-driven.
Be a Contributor — What You'll Do
- Provide technical direction to a team of developers and leads
- Design, development, productization of the Asset Insights data pipeline, reporting & analytics engine
- Deliver highly scalable, reliable Saas software solutions from concept to release
- Drive all phases of development, including requirements, design, implementation, testing, documentation & release
- Leverage Agentic Framework to enhance productivity & reliability
- Mentor and grow junior engineers while monitoring daily tasks and initiatives
- Manage customer issues, escalations & SLA commitments
- Partner with cross-functional Product and Engineering teams across time zones & roles
- Ensure compliance with quality standards and best practices
- Lead engineering teams in the delivery of MCP-compliant agentic systems, with a focus on deploying autonomous digital agents that securely expose asset insights and programmatic API capabilities to external customers.
Be Prepared — What You Bring
- Minimum of 12 years experience in SaaS based software development & delivery, including 2 or more years of experience managing and mentoring teams with diverse skill levels in an agile and fast paced environment
- Experience building products delivering high-volume data pipeline using distributed systems, micro services architecture and technologies like Kafka and Spark
- Solid programming experience with Golang, C, or Java; Python and Spark are a plus
- Proven track record of shipping highly scalable & reliable software in a SaaS environment leveraging Kubernetes, Cloud like AWS, GCP & Azure
- Proven expertise applying agentic and AI‑driven frameworks to elevate engineering productivity, optimize performance, and strengthen system reliability
- Solid understanding of Unix/Linux, Databases - relational, time-series, NoSQL
- Solid understanding of building pluggable & extensible frameworks using low-code/no-code concepts
- Proficient with cloud APIs from AWS, Azure, GCP, OCI, IBM Cloud, and similar platforms
- Good understanding of DNS, IPAM, networking concepts like Switching, Routing & Other Data Center & Cloud Technologies
- Experience leveraging Agentic Frameworks for productivity, performance & reliability improvements
- Bachelor's degree in computer science, computer engineering, or electrical engineering; master's degree preferred
- Desirable: Prior experience with network monitoring, diagnostics, and automation using interfaces like SSE, gNMI, gRPC, SNMP, REST, NETCONF, etc.
Be Successful — Your Path
First 90 Days: Immerse in our culture, connect with mentors, and map the systems and stakeholders that rely on your work.
Six Months: Strengthen your technical foundation by mastering UAI, TD, CAASM & UDDI Platforms. Listen, learn, and lay the groundwork for lasting success. By the six-month mark, shift your focus toward strategic alignment. Develop a clear understanding of Infoblox's Reliability, Productivity, AI vision and roadmap and identify where your team can make the most impactful contributions. Start influencing technical direction and aligning priorities with organizational goals. This phase is about connecting the dots between your team's capabilities and the company's future, ensuring that every effort moves us closer to our AI-driven vision.
One Year: After one year, you will be a cornerstone of technical leadership within the core UAI team. Your role will expand to defining, designing, delivering, and maintaining innovative AI agentic products including developing an agentic asset insights product where autonomous agents consume asset inventory via programmatic APIs, using AI for enhanced observability, policy enforcement, and adaptive security
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: $135,600 - $204,380 CAD 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
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