Engineering

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Senior Manager, Site Reliability Engineering-FedRAMP

Join us as we pursue our ground-breaking vision to make machine data accessible, usable, and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we are committed to our work, customers, having fun, and most significantly to each other’s success.

The Splunk Observability Cloud provides full-fidelity monitoring and fixing across infrastructure, applications, and user interfaces, in real-time and at any scale, to help our customers keep their services reliable, innovate faster, and deliver great customer experiences. Infrastructure Software Engineers at Splunk are cloud-native systems engineers who use infrastructure-as-code, microservices, automation, and efficient design to build, operate, and scale our products.

Role

You will lead and manage one of the largest and most sophisticated cloud-scale, bigdata, and microservices platforms in the world. You will be responsible for managing engineers who operate highly available, scalable, and cost-efficient applications with low operational burden by handling and improving the reliability and resiliency of services and infrastructure. You thrive driving initiatives on automation, infrastructure-as-code, reliability engineering, and getting rid of tedious, manual tasks.

You will:

Lead a team of super smart engineers who are passionate about large scale distributed systems for Splunk Cloud Observability in FedRAMP environments.
Manage across the organization to deliver quality products that delight Splunk's passionate users.
Mentor and grow teams of tight-knit engineers who are building a state-of-the-art, cloud-based environment for massive-scale data processing.
Partner with our Talent Acquisition team as we recruit, interview and hire the best engineering talent to join Splunk's growing SRE FedRAMP team!
Manage engineers to achieve more than they thought possible. You enjoy managing and driving teams to success and are fulfilled through the success of others.

Manage a team working 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

Qualifications

Must-Have:

8+ years of experience in handling large-scale cloud-native microservices platforms.
4+ years of strong hands-on management experience managing teams deploying, handling, and monitoring large-scale Kubernetes clusters in the public cloud specifically AWS or GCP
Experience with and leading a team in infrastructure automation and scripting using Python and/or Golang.
Experience managing remote teams.
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

Preferred:

Familiarity working with and/or managing in compliance environments such as HIPPA, GovCloud, State Government, Federal Government, SOC2 or FedRAMP
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.
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.

Please note: This position supports United States federal, state, and local government agency customers and is subject to certain U.S. citizenship-based restrictions imposed by law, regulation, executive order, government contract, and/or related determination by the U.S. Attorney General. As such, this position is contingent upon candidates establishing proof of U.S. citizenship status. If Splunk determines that a candidate’s citizenship status will prohibit the candidate from working in this position, Splunk expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Splunk shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

Note:

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $203,200.00 - 279,400.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $182,880.00 - 251,460.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $162,560.00 - 223,520.00 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 competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com.

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