Manager, Engineering (AI AND DE)

Job Description 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 its 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 were 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. How we empower our people is extraordinary: were recognized as a Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years; and what we build is world class: named CybersecAsias Best in Critical Infrastructure 2024 clear 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 whats next. In a world where you can be anything, Be Infoblox. Manager, Engineering DE&AI We have an opportunity for a Manager, Engineering to join our Data Engineering team reporting to the appropriate leadership. In this pivotal role, you will lead a team of software and data engineers responsible for building scalable cloud services, API-driven platforms, self-serve data solutions, and AI-enabled capabilities that power customer-facing products and internal engineering efficiency. Collaborating closely with product, analytics, data science, and peer engineering teams, you will provide hands-on technical leadership across the data and application stack, guide the team from prototype to production, and help deliver high-impact, reliable, and secure solutions. Be a Contributor What Youll Do Lead a team of software and data engineers through planning, execution, and delivery of complex engineering initiativesPartner with product managers, analysts, data scientists, and peer engineering teams to gather requirements, define priorities, and build clear execution plansDesign and oversee delivery of cloud-based applications, APIs, and data platforms using modern engineering best practicesBuild and scale production services, APIs, and self-serve data capabilities that support customer-facing products, analytics, operations, and AI-driven experiencesGuide the team in turning prototypes and exploratory work into robust, production-ready solutions with strong code quality, testing, and observabilityEstablish and champion best practices for architecture, code reviews, test automation, CI/CD, monitoring, and incident responsePromote practical use of AI-powered development tools and AI-assisted workflows to improve engineering productivity and code qualityUse metrics, logging, and monitoring to identify and drive improvements in customer experience, scalability, reliability, efficiency, and costHire, coach, and develop a diverse, high-performing team, setting clear goals and providing actionable, growth-oriented feedbackCreate an environment where engineers can do their best work and contribute to technical strategy, roadmap, and cross-functional execution Be Prepared What You Bring Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related technical field12 years of industry experience in software engineering, data engineering, or a related technical field, including substantial experience leading engineering teamsStrong experience delivering reliable production software or cloud services in customer-facing environments, preferably on AWSProficiency in one or more modern programming languages such as Python, Go, Java, or ScalaHands-on experience building and operating scalable cloud services, APIs, distributed systems, or self-serve data applications in productionSolid grounding in software engineering fundamentals, including object-oriented design, design patterns, code quality, and automated testingDemonstrated success leading cross-functional teams across software engineering, data engineering, analytics, and data scienceExperience coaching engineers, managing performance, and building strong, inclusive teams that deliver high-quality resultsStrong customer orientation and ability to balance customer needs, operational excellence, short-term delivery, and long-term technical directionFamiliarity with AI-enabled engineering workflows, ML-powered product capabilities, and AI-powered development tools for productivity and quality Be Successful Your Path First 90 Days Learn the team, platforms, stakeholders, and priorities while aligning on goals and ownershipSix Job Des