Data Operations Engineer

hace 4 semanas

Ciudad de México, Ciudad de México Brightcove, Inc. A tiempo completo
About the Role

We are seeking a highly skilled Data Operations Engineer to join our team at Brightcove, Inc. As a key member of our data platform team, you will play a critical role in ensuring the reliability, scalability, and performance of our cloud-based data solutions.

Key Responsibilities
  • Monitoring and Dashboards: Design, develop, and maintain 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.
Requirements
  • Demonstrated experience with Google Cloud Platform (GCP) and Amazon Web Services (AWS) for deploying and managing cloud-based data solutions and infrastructure.
  • Proficiency in Python and Java for scripting, automation, and developing custom solutions.
  • Strong understanding of API integrations and batch data processing. Experience with data orchestration tools such as Airflow and DBT.
  • Hands-on experience with monitoring and observability tools like DataDog, Grafana, and Monte Carlo. Familiarity with Kubernetes for container orchestration and deployment.
  • Experience with Terraform for managing cloud infrastructure as code.
  • Experience with various relational and non-relational databases, including their management and optimization.
What We Offer

At Brightcove, we offer a dynamic and inclusive work environment that values collaboration, creativity, and professional growth. We are committed to equal employment opportunity and welcome candidates from diverse backgrounds.

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