To foster seamless collaboration, I would implement continuous integration and deployment (CI/CD) pipelines to automate workflows, ensuring both teams work towards common goals. Regular cross-functional meetings would be scheduled to align objectives and address bottlenecks. Emphasizing a culture of shared responsibility and transparency through tools like Slack or Microsoft Teams would also be key. By leveraging monitoring and logging tools, both teams can proactively address issues, enhancing efficiency and reducing silos.

Prioritization in a DevOps environment hinges on balancing business value, customer impact, and technical feasibility. I would use a weighted scoring system to evaluate features based on these criteria, alongside stakeholder input. Agile methodologies, like Scrum or Kanban, would facilitate iterative delivery, allowing for flexibility in reprioritizing based on feedback. Ensuring that infrastructure and operational readiness are part of the prioritization process is crucial to maintain system stability and performance.

When faced with a critical production issue, my immediate step was to assemble a cross-functional team to assess the impact and identify the root cause using monitoring tools like Datadog or Prometheus. We implemented a rollback to stabilize the environment while investigating. Communication was maintained with stakeholders throughout the process. Post-resolution, we conducted a blameless post-mortem to document lessons learned and implemented preventive measures to avoid recurrence, such as enhancing test coverage and monitoring alerts.

Success in DevOps is measured through key performance indicators (KPIs) like deployment frequency, lead time for changes, mean time to recovery (MTTR), and change failure rate. These metrics provide insight into the efficiency and reliability of the DevOps pipeline. Additionally, qualitative measures such as team morale and the reduction in silos between departments are important. Continuous feedback loops with stakeholders and customers also gauge the effectiveness of DevOps practices in delivering value.

I am proficient in a range of tools and technologies critical for a DevOps Product Manager, including CI/CD platforms like Jenkins and GitLab CI, infrastructure as code (IaC) tools such as Terraform and Ansible, and containerization technologies like Docker and Kubernetes. My expertise extends to cloud services (AWS, Azure, GCP) and monitoring tools (Prometheus, ELK Stack). Understanding version control with Git and agile project management tools like Jira is also part of my skill set, enabling effective collaboration and project delivery.