Manager, Software Engineering
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Key skills for this role
About the Role
Infoblox is seeking a Manager, Software Engineering to lead the Universal Asset Insights team, driving the development of a SaaS-based Cyber Asset Attack Surface Management (CAASM) product.
Key Skills for This Role
Responsibilities
- 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
Requirements
- Minimum of 12 years experience in SaaS based software development & delivery
- 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
- Bachelor’s degree in computer science, computer engineering, or electrical engineering; master’s degree preferred
Full Job Posting
Job Description
- 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.
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.
- 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 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.
- Modern offices with EV charging, healthy snacks, plus hackathons, game nights, and culture celebrations.
- Charitable Giving Program supported by Company Match.
- Base salary for this position: CAD 135,600 CAD 204,380 CAD plus annual bonus.
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