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Infoblox

Manages DNS, DHCP, IPAM with security

Director, Cloud Delivery Assurance

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least fifteen years of experience in software engineering, quality engineering, test automation, platform engineering, DevOps, Site Reliability Engineering, or delivery assurance, including at least five years leading and growing engineering or quality assurance teams.
  • Proven success defining and delivering quality, automation, and release-readiness strategies for cloud-native software-as-a-service platforms.
  • Deep understanding of Kubernetes, Linux, containers, public cloud environments such as Amazon Web Services or Google Cloud Platform, distributed systems, and microservices.
  • Strong command of continuous integration and continuous delivery practices, including pipeline design, artifact promotion, progressive delivery, canary releases, deployment verification, and automated quality gates using tools such as Jenkins, GitHub Actions, Argo, or Spinnaker.
  • Expertise in test-automation architecture across application programming interface, integration, end-to-end, regression, performance, and production-readiness testing, with the technical depth to review designs and code.
  • Experience building metrics-driven programs using measures such as coverage, escape rate, defect trends, mean time to detect, release risk, and environment stability.
  • Practical experience using AI-assisted development, test-generation, analytics, automation, content-generation, or decision-support tools, with an understanding of responsible artificial intelligence practices and appropriate human oversight.
  • Demonstrated ability to influence without authority across quality assurance, Site Reliability Engineering, DevOps, product, application, and platform teams while maintaining a consistent quality bar under delivery pressure.
  • Experience hiring and scaling engineering teams in India, preferably across distributed or multi-site environments, and building an inclusive, high-accountability culture.
  • Bachelor’s degree in computer science, computer engineering, electrical engineering, or a related technical field.

Responsibilities

  • Build the Cloud Delivery Assurance strategy, roadmap, operating model, and staffing plan; align scope, milestones, investment, and success measures with the SVP of Platform Engineering and peer engineering leaders.
  • Hire, lead, coach, and develop a team of one technical project manager and eight software development engineers in test; establish the team charter, operating cadence, engineering standards, and inclusive culture.
  • Own the automated artifact-promotion pipeline from continuous-integration build and security-scan validation through development-cluster smoke testing, integration and certification runs, staging certification, and production promotion.
  • Define, implement, and enforce quality gates for each promotion decision, including entry and exit criteria, required evidence, hold-and-return behavior, risk acceptance, and rollback expectations.
  • Serve as the accountable approver for promotion of SaaS software across development, integration, staging, and production environments; make go/no-go recommendations defensible with data.
  • Establish a common test-automation framework, shared libraries, and fit-for-purpose test environments for application programming interface, integration, end-to-end, regression, performance, and deployment-verification testing.
  • Apply AI-assisted engineering tools, including code assistants, test-generation capabilities, and intelligent analytics, to improve productivity, expand meaningful test coverage, identify risk patterns, and support—not replace—engineering judgment.
  • Govern responsible use of AI-generated code and test assets through human review, security and privacy controls, traceability, and measurable quality outcomes.
  • Deliver readiness scorecards, quality and risk heatmaps, coverage and escape-rate metrics, defect trends, mean-time-to-detect measures, and environment and release status for engineering leadership.
  • Partner with Solutions QA on end-to-end functional coverage and release sign-off, and with Site Reliability Engineering on stress, scale, high availability, disaster recovery, and chaos testing.
  • During the first 90 days, immerse in the company culture, connect with mentors, map systems, meet key stakeholders, and discuss and create short- and long-term goals.
  • Within six months, operate automated build and development-cluster validation gates for every release candidate, recording promotion decisions and automatically collecting evidence.
  • Within six months, establish the common test-automation framework and shared libraries, with regression suites running on a predictable schedule against a protected certification baseline.
  • Within six months, launch readiness scorecards and quality-risk reporting, including AI-assisted aggregation and analysis of release evidence with human review and clear auditability.
  • Within six months, complete staffing and onboarding for the Cloud Delivery Assurance team, with the technical project manager driving milestones, dependencies, and stakeholder communications.
  • Within six months, define baseline measures for coverage, escape rate, defect trends, environment stability, and release-cycle efficiency, and use the data to prioritize improvements.
  • Within one year, establish Cloud Delivery Assurance as the mandatory release-readiness gate for the SaaS platform, with staging certification and production-promotion decisions consistently supported by objective evidence.
  • Within one year, automate critical regression coverage for release candidates and demonstrate measurable improvement in customer-found defects and release-time Severity 1 and Severity 2 incidents.
  • Within one year, validate Tier 1 services for high availability, scale, performance, recovery, and deployment safety in partnership with Site Reliability Engineering.
  • Within one year, integrate AI-assisted test development and release analytics into the operating model with appropriate security, privacy, governance, and human-review controls.
  • Within one year, establish a smooth interlock among Cloud Delivery Assurance, Solutions QA, Site Reliability Engineering, DevOps, CloudOps, application, and platform teams, with remediation routed and closed through a single visible workflow.

Desired Qualifications

  • A master’s degree is a plus.
  • Experience hiring and scaling engineering teams across distributed or multi-site environments is preferred.

About the Company

Infoblox

Manages DNS, DHCP, IPAM with security

Infoblox provides networking and cybersecurity solutions focused on DNS, DHCP, and IP Address Management (DDI). Its products automate and secure how devices find names, receive IP addresses, and manage IP space, across on-premises and cloud environments. The company differentiates itself by integrating DDI with security on a single platform for enterprise customers, offering both SaaS and on-premises options plus professional services. Its goal is to give enterprises visibility, control, and automation over networks to keep connections reliable and secure in data centers and the cloud.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1999

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