- Build and maintain a resilient, secure, and efficient SaaS application platform to meet established SLOs
- Build, maintain, and advance Kubernetes-based infrastructure in AWS
- Utilized modern observability tooling to monitor and improve site reliability and resilience
- Scale infrastructure to meet rapidly increasing demand
- Work with cross-functional teams in Engineering, Product, Services, and other departments.
- Collaborate with developers to bring new features and services into production
- Develop and improve operational practices and procedures
- Proactively meet standards for information security and compliance, such as ISO, SOX, SSAE 16, etc.
- Experience in 24x7 production operations, preferably supporting a highly available environment for a SaaS or cloud service provider
- 3+ years Experience with cloud infrastructure environments, preferably AWS
- Experience with Kubernetes
- System administration, system configuration, and system debugging experience
- Experience using scripting languages (Ruby, Python, etc)
- Strong understanding of system and networking concepts and troubleshooting techniques
- Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports.
- Ability to operate in an agile, entrepreneurial start-up environment.
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DevOps Engineer - india, India - SailPoint
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Description
Want to be on a team that full of results-driven individuals who are constantly seeking to innovate? Want to make an impact? At SailPoint, our Engineering team does just that. Our engineering is where high-quality professional engineering meets individual impact. Our team creates products are built on a mature, cloud-native event-driven microservices architecture hosted in AWS.
The Identity Security Cloud is SailPoint's Identity as a Service (IDaaS) product, and the DevOps Engineer will be a key player on the DevOps team servicing the Identity Security Cloud product suite. Our product suite utilizes a containerized, Kubernetes-based microservice architecture, Machine Learning and LLM based functionalities, a deep integration with AWS services, a comprehensive observability suite, and mature CI/CD. He/She will proactively work with Engineering, Product, Services, and other functional departments to implement and operate our global customer-facing SaaS infrastructure. The ideal candidate will be a self-starter who enjoys a fast-paced job, thrives on problem solving, and is committed to delivering seamless product availability to large enterprises around the world.
Responsibilities:
Background & Experience: