Job Summary
Essential Responsibilities:
- Architect, configure, and manage scalable, highly available database clusters (MySQL, CloudSQL, BigTable, Oracle).
- ImplementInfrastructure-as-Codeusing 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:
- 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Expertise in 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.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $137,500 to $236,500
Our Benefits:
Any general requests for consideration of your skills, please