28 applicants

Company

Splunk · 9 hours ago

Senior Site Reliability Engineer-FedRAMP (FULLY REMOTE)

Washington, DC

Full-time

Remote

Senior Level

$175K/yr - $240K/yr

7+ years exp

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AnalyticsInformation Technology

Comp. & Benefits

No H1B

Hiring Manager

Jeffery Broussard

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Responsibilities

Own Splunk Cloud Observability in FedRAMP environments.

Work across the organization to deliver quality products that delight Splunk's passionate users.

Work with teams of tight-knit engineers who are building a state-of-the-art, cloud-based environment for massive-scale data processing.

Mentor new engineers to achieve more than they thought possible.

Work on reliability projects, including 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud-native microservicesKubernetesAWSPythonGolangJava servicesMonitoring toolsCassandraKafkaElastic SearchMongoDBZooKeeperRedisInfrastructure-as-CodeCI/CD frameworksAWS Solutions ArchitectConfluent Certified AdministratorApache Cassandra Administrator

Required

7+ years of experience in handling large-scale cloud-native microservices platforms.

3+ 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 Golang.

Experience developing, deploying and maintaining Java services.

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.

Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems