Database Reliability Engineer - Observability
Description
- Design new services, tools, and monitoring to be implemented by the entire team.
- Analyze the tradeoffs of the proposed design and make recommendations based on these tradeoffs.
- Mentor new engineers to achieve more than they thought possible. You enjoy making other teams successful and are fulfilled through the success of others.
- HA, Business Continuity Planning, disaster recovery, backup/restore, RTO, RPO
- Database uptime and performance
- Capacity management & planning
- SLIs, SLOs, error budgets, and monitoring dashboards
- Responsible for deployment and operations of large-scale distributed data stores and streaming services
- Establishing design patterns for monitoring and benchmarking
- Establishing and documenting production run books and guidelines for developers
- Tooling, toil reduction, runbooks & automation to manage production environments
- Incident management and improving MTTD/MTTR for services
- Cloud cost optimization
- 3+ years of experience with deployment, operations, and performance management of large-scale Cassandra clusters along with Zookeeper.
- 2+ years of experience in managing large-scale cloud-native microservices platforms.
- Experience with infrastructure automation and scripting using Python and/or bash scripting.
- Excellent problem-solving, troubleshooting, and debugging skills in large-scale distributed systems
- Confluent Certified Administrator for Apache Kafka and/or Apache Cassandra Administrator Associate certifications are preferred
- AWS Solutions Architect certification preferred.
- Experience with automating deployment, operations, and performance management of one or more of the following large-scale clusters such as Cassandra, Kafka, Elastic/Open Search, MongoDB, ZooKeeper, Redis, etc.
- Strong hands-on experience deploying, managing, and monitoring large-scale Kubernetes clusters in the public cloud specifically AWS or GCP
- Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Pulumi, Packer, ARM, etc.
- Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software.
Note:
Base Pay Range
India
Base Pay: INR 2,400,000.00 - 3,300,000.00 per year
Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.
Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our comprehensive benefits and wellbeing offering at https://splunkbenefits.com.
Thank you for your interest in Splunk!