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Cloud-Scale Reliability Engineering Leader
1 month ago
We are committed to our work, customers, having fun, and most significantly to each other's success.
About the RoleAs a Cloud-Scale Reliability Engineering Leader at Splunk Inc., you will help us run one of the largest and most sophisticated cloud-scale, bigdata, and microservices platforms in the world.
Key Responsibilities- Set technical direction and get consensus from internal and external partners.
- Develop new processes to make the team more efficient and effective.
- Collaborate with other team leaders to orchestrate large system changes.
- Spend a significant amount of time on technical leadership activities in addition to hands-on technical work.
- 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.
- HA, Business Continuity Planning, disaster recovery, backup/restore, RTO, RPO.
- Chaos engineering.
- Application 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 handle production environments.
- Incident management and improving MTTD/MTTR for services.
- Cloud cost optimization.
- 10+ years of SRE experience in handling large-scale cloud-native microservices platforms.
- 4+ years of strong hands-on experience deploying, handling, and monitoring large-scale Kubernetes clusters in the public cloud specifically AWS or GCP.
- Experience with infrastructure automation and scripting using Python and/or bash scripting.
- Strong hands-on experience in monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc. in order to build observability for large-scale microservices deployments.
- Experience with deployment, operations and performance management of one or more of the following large-scale clusters such as Cassandra, Kafka, Elastic Search, MongoDB, ZooKeeper, Redis, etc.
- Experience leading large-scale technical initiatives across multiple teams.
- Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems.
- AWS Solutions Architect certification preferred.
- Confluent Certified Administrator for Apache Kafka and/or Apache Cassandra Administrator Associate certifications are preferred.
- Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Pulumi, Packer, ARM, etc.
- Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc.
- Experience with one or more security/compliance frameworks such as SOC2, PCI, and/or FedRAMP.
- Proven skills to effectively work across teams and functions to influence the design, operations, and deployment of highly available software.
Bachelors/Masters in Computer Science, Engineering, or related technical field, or equivalent practical experience.
The estimated salary for this position is $180,000 - $250,000 per year, depending on location and experience.
