Senior Site Reliability Engineer-FedRAMP (FULLY REMOTE)

Cisco; Maryland; Remote; USD 139,000 - 193,000; Full time

Job summary

An established industry player is seeking a skilled Infrastructure Software Engineer to join their team. In this exciting role, you will help manage a sophisticated cloud-scale platform, ensuring high availability and performance of applications. Your expertise in automation, infrastructure-as-code, and monitoring tools will be crucial in driving operational excellence. This position offers a unique opportunity to work with cutting-edge technologies and collaborate with a passionate team dedicated to delivering exceptional customer experiences. If you're ready to make an impact and thrive in a dynamic environment, this role is perfect for you.

Benefits

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Flexible working arrangements

Incentive compensation

Equity or long-term cash awards

Qualifications

• 7+ years in cloud-native microservices platforms and Kubernetes.
• Strong experience in Python/Golang for automation and scripting.

Responsibilities

• Ensure reliability and resiliency of SRE-managed services.
• Work on disaster recovery, monitoring, and performance management.

Skills

Kubernetes

Python

Golang

Java

C++

Problem-solving

Monitoring tools

Infrastructure automation

Education

Bachelor in Computer Science

Master in Computer Science

Tools

AWS

GCP

Terraform

Jenkins

Prometheus

Grafana

ELK stack

Job description

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 help us run one of the largest and most sophisticated cloud-scale, big data, and microservices platforms in the world. You will be responsible for enabling developers to operate highly available, scalable, and cost-efficient applications with low operational burden by handling and improving the reliability and resiliency of SRE-managed services and infrastructure. You thrive on automation, infrastructure-as-code, reliability engineering, and getting rid of tedious, manual tasks.

You will:

1. Own Splunk Cloud Observability in FedRAMP environments.
2. Work across the organization to deliver quality products that delight Splunk 's passionate users.
3. Work with teams of tight-knit engineers who are building a state-of-the-art, cloud -based environment for massive-scale data processing.
4. Mentor new engineers to achieve more than they thought possible. You enjoy making other teams successful and are fulfilled through the success of others.

Work on reliability projects, including:

1. HA, Business Continuity Planning, disaster recovery, backup/restore, RTO, RPO
2. Chaos engineering
3. Application uptime and performance
4. Capacity management & planning
5. SLIs, SLOs, error budgets, and monitoring dashboards
6. Responsible for deployment and operations of large-scale distributed data stores and streaming services
7. Establishing design patterns for monitoring and benchmarking
8. Establishing and documenting production run books and guidelines for developers
9. Tooling, toil reduction, runbooks & automation to handle production environments
10. Incident management and improving MTTD/MTTR for services
11. Cloud cost optimization

Qualifications

Must-Have:

1. 7+ years of experience in handling large-scale cloud-native microservices platforms.
2. 3+ years of strong hands-on experience deploying, handling, and monitoring large-scale Kubernetes clusters in the public cloud specifically AWS or GCP
3. Experience with infrastructure automation and scripting using Python and/or Golang.
4. Experience developing, deploying and maintaining production services using an object-oriented programming language such as Java, C++, or Python.
5. 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.
6. Excellent problem-solving, triaging, and debugging skills in large-scale distributed systems

Preferred:

1. 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.
2. AWS Solutions Architect certification preferred.
3. Experience with Infrastructure-as-Code using Terraform, CloudFormation, Google Deployment Manager, Pulumi, Packer, ARM, etc.
4. Experience with CI/CD frameworks and Pipeline-as-Code such as Jenkins, Spinnaker, Gitlab, Argo, Artifactory, etc.
5. 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: Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Base Pay Range

SF Bay Area, Seattle Metro, and New York City Metro Area
Base Pay Range: $174,800.00 - 240,350.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts
Base Pay Range: $157,320.00 - 216,315.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.
Base Pay Range: $139,840.00 - 192,280.00 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.