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Staff Database Engineer
Staff Database EngineerApptad Inc • San Jose, California, USA
Staff Database Engineer

Staff Database Engineer

Apptad Inc • San Jose, California, USA
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  • [job_card.full_time]
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Job Title : Staff Database Engineer

Job Summary :

This job designs implements and maintains advanced large-scale database and data platforms that drive performance reliability and cost-efficiency. This role combines deep technical expertise in automation observability and Infrastructure-as-Code with a focus on operational excellence and innovation. The engineer leverages cloud-native technologies Big Data systems and AI-powered automation to optimize mission-critical OLTP and analytics platforms across multi-cloud environments. This position is ideal for technologists who thrive on solving complex system-level challenges and advancing PayPals data infrastructure.

Job Description :

Essential Responsibilities :

  • Architect configure and manage scalable highly available database clusters (Oracle Google Spanner MySQL CloudSQL BigTable).
  • Implement Infrastructure-as-Code using Terraform Ansible Puppet and Kubernetes.
  • Develop CI / CD pipelines for schema and infrastructure automation with Jenkins GitHub Actions and GitLab CI.
  • Design and enforce secure data handling encryption and access control practices.
  • Optimize database and Big Data systems for performance scalability and cost efficiency.
  • Build monitoring and observability systems with Prometheus Grafana ELK and Datadog.
  • Drive SLIs / SLOs / SLAs for database reliability and uptime.
  • Automate database and platform management with Python-based tooling.
  • Lead on-call rotations and drive root cause analysis and incident resolution.
  • Collaborate with DevOps data engineering and analytics teams to deliver resilient data solutions.

Expected Qualifications :

  • 12 years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience.
  • Expertise in Oracle / MySQL tuning replication indexing and partitioning.
  • Proficiency in Hadoop Spark Kafka and distributed system design.
  • Strong multi-cloud experience (AWS GCP Azure).
  • Hands-on experience with Terraform Ansible Puppet Packer and Kubernetes.
  • Advanced programming in Python and Bash for automation and integration.
  • Deep knowledge of observability stacks (Prometheus Grafana Datadog ELK).
  • Strong analytical troubleshooting and optimization skills.
  • Commitment to security compliance and operational excellence.
  • Key Skills

    Computer Science,Docker,Kubernetes,Python,VMware,C / C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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