Senior Site Reliability Engineer - CloudOps
Description
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. Site Reliability 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, bigdata, 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:
- Develop new processes to make the team more efficient and effective.
- Collaborate with other team leaders to orchestrate large system changes.
- 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.
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
Qualifications
Must-Have
- 8+ years of SRE 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 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
Preferred
- 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.
The team operates on a 7-day coverage model, and as a result, our support engineers are occasionally asked to work on weekends.
Bachelors/Masters in Computer Science, Engineering, or related technical field, or equivalent practical experience.
We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. 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
India
Base Pay: INR 2,720,000.00 - 3,740,000.00 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 next-level benefits at https://splunkbenefits.com.
Thank you for your interest in Splunk!