Senior Engineering Manager

2 months ago

hyderabad, India Splunk Inc Full time
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. As applications and systems become more sophisticated and user experience is at high stake, observability - the ability to monitor and understand the distributed systems and how they impact users, becomes one of the biggest challenges for engineering teams. We are building world-class tools to help engineers deliver better, faster, and more reliable applications.

Role

The Observability Platform powers data collection, processing, storage, query and analytics of billions of data points that the subsystem processes every minute. We are in the early stages of building a Platform Cloud Operations team responsible for Operational Excellence, Automations and tooling for Platform Infrastructure. As the Sr. Manager, you will be responsible for building and leading an impactful team of Cloud Operations Engineers & play a crucial role in supporting these platform teams. This team will have a unique opportunity to advocate and participate in building services that are resilient, effectively monitored, alerted and self-healed by applying software engineering practices to operate the platform.

Responsibilities

Hire and develop an engineering team, focused on making our industry-leading technology even more valuable to our customers. Diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software. You will work with the team to develop long-term roadmaps to efficiently scale and manage our platform services. You will be responsible for the execution and deliveryof your team. You will cultivate an atmosphere of continuous improvement by serving as a mentor, and technical advisor. You will ensure that the platform is resilient, performant, compliant, and secure You will improve the cross-team/time zone/regional cooperation mechanisms, and provide Operational solutions in line with actual business scenarios based on business orientation. You will plan and support the career development of your team members.

Must-Have Qualifications

8+ years of cloud operations and automation experience 3+ years of strong hands-on experience on public cloud platforms specifically AWS or GCP. Experience with large-scale Kubernetes clusters in the public cloud Demonstrated experience leading cloud infrastructure and/or site reliability engineering teams focused on operational excellence and automated, self-service solutions. Demonstrated experience as a technical lead for successful, large-scale cloud projects. Experience building and managing global operational / SRE team(s), including team recruitment, new talent training, system operation/maintenance/coordination, and team culture building. Manage on-call processes to respond to performance and reliability issues, and establish standard processes for coordinating escalation to resolve issues and minimize downtime. Develop process specifications and plans for compliant access, configuration, disaster recovery, and fault handling of critical paths of platform services. Solid understanding of Operational Excellence principles including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts. Strong communication skills both verbal and written.

Preferred Qualifications

Passionate about distributed systems and working with highly scalable services CKA and HashiCorp-certified Terraform Associate certifications preferred Experience with deployment, operations & performance management of one or more of the following large-scale clusters such as Cassandra, Kafka, Elastic Search, MongoDB, ZooKeeper, Redis, etc. Experience with infrastructure automation and scripting using Python and/or bash scripting. Exposure to monitoring tools such as Splunk, Prometheus, Grafana, ELK stack, etc. in order to build observability for large-scale microservice deployments. Experience with security/compliance frameworks such as SOC2, PCI, and/or FedRAMP. Bachelors/Masters or equivalent experience in Computer Science, Engineering, or related technical field, or equivalent practical experience.

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