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**Job Summary**
We are seeking a highly skilled Senior Data Operations Engineer - Cloud Specialist to join our team at Brightcove, Inc. as a key member of our data platform team. As a Senior Data Operations Engineer, you will play a critical role in ensuring the reliability, scalability, and performance of our data platforms.
Key Responsibilities- Monitoring and Dashboards: Create, maintain, and enhance monitoring dashboards to track system performance, data pipeline health, and application metrics. Utilize tools such as DataDog, Grafana, and Monte Carlo to ensure visibility into system operations and to proactively identify potential issues.
- On-Call Duties and Production Support: Provide on-call support to address and resolve production incidents related to data platforms and infrastructure. Perform root cause analysis and implement solutions to prevent recurrence of issues.
- CI/CD Pipeline Management: Develop and manage CI/CD pipelines using Jenkins and other relevant tools to automate deployment processes for data applications and infrastructure.
- Capacity Planning: Conduct capacity planning to anticipate future needs and scale infrastructure accordingly. Use performance data to make informed recommendations on scaling and resource allocation.
- System Reliability and Scalability: Ensure system reliability and scalability by implementing best practices in infrastructure management and performance tuning. Collaborate with engineering teams to design and deploy scalable and resilient data solutions.
- Infrastructure as Code (IaC): Use Terraform for provisioning and managing cloud infrastructure, ensuring that infrastructure changes are consistent, repeatable, and version-controlled.
- Cross-Functional Collaboration: Work closely with cross-functional teams, including data engineers, software developers, and product managers, to align on data platform requirements and deliver solutions that support business objectives.
- DevOps Mindset: Embrace a DevOps mindset to foster a culture of continuous improvement and operational excellence. Apply automation and monitoring techniques to streamline workflows and enhance system performance.
- Problem Prevention: Proven ability to engage in problem prevention activities, including capacity planning, creating runbooks, and automating runbooks for known issues to drive self-healing capabilities.
- Demonstrated experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS) for deploying and managing cloud-based data solutions and infrastructure.
